{"id":2163,"date":"2026-09-08T15:45:35","date_gmt":"2026-09-08T15:45:35","guid":{"rendered":"https:\/\/lean-app.com\/?p=2163"},"modified":"2026-09-08T17:55:59","modified_gmt":"2026-09-08T17:55:59","slug":"perdre-du-poids-avec-chatgpt","status":"publish","type":"post","link":"https:\/\/lean-app.com\/sv\/perdre-du-poids-avec-chatgpt\/","title":{"rendered":"Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu&rsquo;\u00e0 1 260 kcal d&rsquo;\u00e9cart"},"content":{"rendered":"<div id=\"lvm-shell\"><style>#lvm-shell{display:contents;--rule:#e6e2dc;--ink:#111;--muted:#6b6b6b;--font-display:-apple-system,\"SF Pro Display\",\"Segoe UI\",Roboto,Arial,sans-serif;font-family:var(--font-display)}#lvm-shell .nav{position:sticky;top:0;z-index:50;background:rgba(255,255,255,.86);backdrop-filter:saturate(180%) blur(14px);-webkit-backdrop-filter:saturate(180%) blur(14px);border-bottom:1px solid var(--rule)}#lvm-shell .nav-row{max-width:1160px;margin:0 auto;display:flex;align-items:center;gap:14px;padding:10px 22px;box-sizing:border-box}#lvm-shell .nav-brand{display:flex;align-items:center;gap:9px;text-decoration:none;color:var(--ink)}#lvm-shell .nav-brand img{width:28px;height:28px;border-radius:7px;object-fit:cover}#lvm-shell .nav-brand span{font-weight:600;font-size:18px;letter-spacing:-.01em}#lvm-shell .nav-spacer{flex:1}#lvm-shell .nav-link{color:var(--muted);text-decoration:none;font-size:14px}#lvm-shell .nav-link:hover{color:var(--ink)}#lvm-shell .nav-stores{display:flex;gap:6px;align-items:center}#lvm-shell .nav-stores a{display:block;line-height:0}#lvm-shell .nav-stores img{height:28px;width:auto;border-radius:5px;transition:transform .15s}#lvm-shell .nav-stores a:hover img{transform:translateY(-1px)}@media (max-width:768px){#lvm-shell .nav-row{padding:8px 18px;gap:8px}#lvm-shell .nav-link{display:none}#lvm-shell .nav-stores img{height:24px}#lvm-shell .nav-stores{gap:4px}}@media (max-width:380px){#lvm-shell .nav-stores img{height:22px}}<\/style><header class=\"nav\"><div class=\"nav-row\"><a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/sv\/\" aria-label=\"Lean startsida\"><img loading=\"lazy\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" decoding=\"async\"><span>Lean<\/span><\/a><span class=\"nav-spacer\"><\/span><a class=\"nav-link\" href=\"https:\/\/lean-app.com\/sv\/tdee-calculator\/\">TDEE-kalkylator<\/a><div class=\"nav-stores\"><a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&amp;utm_medium=blog&amp;utm_campaign=etude-chatgpt\" target=\"_blank\" rel=\"noopener\" aria-label=\"Ladda ned fr\u00e5n App Store\"><img loading=\"lazy\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\"><\/a><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&amp;utm_source=seo&amp;utm_medium=blog&amp;utm_campaign=etude-chatgpt\" target=\"_blank\" rel=\"noopener\" aria-label=\"Tillg\u00e4nglig p\u00e5 Google Play\"><img loading=\"lazy\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\"><\/a><\/div><\/div><\/header><\/div>\n<style>#lean-etude{--lean-sticky-top:52px}<\/style><style>\n#lean-etude {\n  --bg: #F3F0EB;\n  --white: #fff;\n  --ink: #222326;\n  --muted: #66635F;\n  --pink: #FF456C;\n  --hot: #FF2D6E;\n  --violet: #DCD0F4;\n  --night: #191A1D;\n  --line: rgb(34 35 38 \/ 15%);\n  --ease: cubic-bezier(.22,1,.36,1);\n  --pointer-x: 0;\n  --pointer-y: 0;\n  --scene-scroll: 0;\n  position: relative;\n  isolation: isolate;\n  container-type: inline-size; 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width: 80px; height: 80px; grid-row: 1; grid-column: 1; font-size: 25px; font-weight: 500; letter-spacing: -.02em; font-variant-numeric: tabular-nums; }\n#lean-etude .le-behavior-list li > span:not(.le-behavior-meter) { grid-row: 2; font-size: 12px; line-height: 1.6; }\n#lean-etude .le-behavior-meter { grid-row: 1; grid-column: 1; width: 80px; height: 80px; border-radius: 50%; background: conic-gradient(var(--pink) var(--percent),rgb(128 128 128 \/ 18%) 0); mask: radial-gradient(farthest-side,transparent calc(100% - 3px),#000 calc(100% - 2.5px)); transform: rotate(-90deg); }\n#lean-etude .le-behavior-meter i { display: none; }\n#lean-etude .le-insight { max-width: 68ch; margin: 45px 0 0 auto; padding-top: 30px; border-top: 1px solid var(--line); font-size: 17px; line-height: 1.7; }\n#lean-etude .le-simple .le-insight { color: #D2CFCA; }\n#lean-etude .le-simple .le-insight strong { color: var(--white); }\n#lean-etude .le-complet { padding-top: 100px; }\n#lean-etude .le-complet .le-chart { background: var(--white); }\n#lean-etude .le-comparison { margin-top: 75px; }\n#lean-etude .le-comparison-title { margin-bottom: 32px; font-size: 30px; }\n#lean-etude .le-comparison-stats { display: grid; grid-template-columns: repeat(3,minmax(0,1fr)); gap: 0; border-top: 1px solid var(--line); border-bottom: 1px solid var(--line); }\n#lean-etude .le-comparison-stats li { padding: 35px 35px 35px 0; }\n#lean-etude .le-comparison-stats li + li { padding-left: 35px; border-left: 1px solid var(--line); }\n#lean-etude .le-comparison-stats strong { display: block; margin-bottom: 22px; font-size: clamp(44px,5.5cqi,74px); font-weight: 500; line-height: .95; letter-spacing: -.035em; white-space: nowrap; }\n#lean-etude .le-comparison-stats small { font-size: 18px; font-weight: 500; letter-spacing: -.01em; }\n#lean-etude .le-comparison-stats span { display: block; max-width: 27ch; font-size: 13px; line-height: 1.6; }\n#lean-etude .le-comparison-stats li:last-child strong { color: var(--hot); }\n#lean-etude .le-suivi { --line: rgb(255 255 255 \/ 17%); color: #F6F3EF; background: var(--night); padding-bottom: 0; }\n#lean-etude .le-suivi h2 { max-width: 27ch; font-size: clamp(35px,5cqi,65px); }\n#lean-etude .le-time-headline { display: block; margin-top: 14px; color: #FF7795; }\n#lean-etude .le-time-intro { max-width: 51ch; margin: 0 0 60px auto; font-size: 17px; line-height: 1.7; color: #D5D1CB; }\n#lean-etude .le-time-stage { --time-progress: 0; display: grid; grid-template-columns: 1fr 1fr; column-gap: 100px; align-items: start; margin-bottom: 75px; }\n#lean-etude .le-time-dial { position: sticky; top: calc(var(--lean-sticky-top,0px) + 110px); padding-bottom: 40px; text-align: center; }\n#lean-etude .le-dial-face { position: relative; display: flex; flex-direction: column; align-items: center; justify-content: center; width: 100%; max-width: 390px; aspect-ratio: 1; margin: 0 auto; border-radius: 50%; background: radial-gradient(circle at 40% 40%,#353035 0%,#222124 55%,#191A1D 72%); }\n#lean-etude .le-dial-face::before { content: \"\"; position: absolute; inset: 0; border-radius: 50%; background: conic-gradient(from -90deg,#FF7795 calc(var(--time-progress)*100%),rgb(255 255 255 \/ 14%) 0); mask: radial-gradient(farthest-side,transparent calc(100% - 2px),#000 calc(100% - 1.5px)); }\n#lean-etude .le-dial-face::after { content: \"\"; position: absolute; inset: 15px; border: 1px solid rgb(255 255 255 \/ 7%); border-radius: 50%; }\n#lean-etude .le-dial-unit { font-size: 13px; }\n#lean-etude .le-dial-day { margin-top: 0; color: #FF7795; font-size: clamp(80px,12cqi,170px); font-weight: 400; line-height: 1.05; letter-spacing: -.04em; font-variant-numeric: tabular-nums; }\n#lean-etude .le-dial-caption { display: block; margin-top: 28px; font-size: 12px; color: #BEBAB4; }\n#lean-etude .le-timeline { padding-top: 0; }\n#lean-etude .le-timeline li { position: relative; min-height: 215px; padding: 25px 0 45px 33px; border-top: 1px solid var(--line); }\n#lean-etude .le-timeline li::before { content: \"\"; position: absolute; top: 30px; left: 0; width: 7px; height: 7px; border-radius: 50%; background: #777477; transition: background-color .3s; }\n#lean-etude .le-timeline li.is-current::before { background: #FF7795; box-shadow: 0 0 16px rgb(255 69 108 \/ 35%); }\n#lean-etude .le-timeline strong { display: block; margin-bottom: 20px; font-size: 17px; font-weight: 500; line-height: 1.3; }\n#lean-etude .le-timeline strong b { font-size: inherit; font-weight: inherit; }\n#lean-etude .le-timeline li > span { display: block; max-width: 34ch; font-size: 21px; line-height: 1.5; letter-spacing: -.02em; }\n#lean-etude .le-timeline li.is-current > span { color: #FFB0C2; }\n#lean-etude .le-checklists { display: grid; grid-template-columns: 1fr 1fr; gap: 85px; padding: 55px 0 80px; border-top: 1px solid var(--line); }\n#lean-etude .le-checklist h3 { max-width: 20ch; margin-bottom: 32px; font-size: 30px; font-weight: 500; }\n#lean-etude .le-checklist ul { display: grid; gap: 19px; }\n#lean-etude .le-checklist li { display: flex; gap: 14px; align-items: baseline; font-size: 14px; line-height: 1.7; color: #D2CFC9; }\n#lean-etude .le-checklist li > span:first-child { flex: 0 0 18px; color: #FF7795; font-size: 14px; }\n#lean-etude .le-checklist-yes li > span:first-child { color: #A9D7C5; }\n#lean-etude .le-verdict { margin: 0; padding: 75px max(40px,calc((100% - 1280px)\/2)); background: #DCD0F4; color: var(--ink); font-size: clamp(26px,3.5cqi,45px); font-weight: 400; letter-spacing: -.03em; line-height: 1.35; text-wrap: pretty; }\n#lean-etude .le-verdict > strong { display: block; max-width: none; margin-bottom: 34px; font-size: 13px; font-weight: 550; line-height: 1.6; letter-spacing: 0; }\n#lean-etude .le-app { display: grid; grid-template-columns: 1fr 1fr; gap: 30px 80px; background: var(--white); }\n#lean-etude .le-app .le-section-heading { margin: 0; }\n#lean-etude .le-app h2 { max-width: 15ch; font-size: 46px; }\n#lean-etude .le-app-intro { grid-column: 1; font-size: 16px; }\n#lean-etude .le-app-panel { grid-column: 2; grid-row: 1\/3; align-self: center; padding: 0 0 0 45px; border-left: 1px solid var(--line); }\n#lean-etude .le-feature-list { display: flex; flex-wrap: wrap; gap: 12px 20px; padding-bottom: 28px; margin-bottom: 30px; border-bottom: 1px solid var(--line); }\n#lean-etude .le-feature { display: inline-flex; align-items: baseline; gap: 8px; font-size: 11px; }\n#lean-etude .le-feature::before { content: \"\"; flex: 0 0 6px; width: 6px; height: 6px; background: #FA256C; border-radius: 50%; }\n#lean-etude .le-feature-1::before { background: #FF8C00; }\n#lean-etude .le-feature-2::before { background: #E84D44; }\n#lean-etude .le-feature-3::before, #lean-etude .le-feature-4::before { background: #4CAF50; }\n#lean-etude .le-feature-4 { flex-basis: 100%; }\n#lean-etude .le-app-panel > strong { display: block; max-width: 22ch; margin-bottom: 18px; font-size: 25px; font-weight: 500; letter-spacing: -.025em; line-height: 1.25; }\n#lean-etude .le-app-panel > span { display: block; font-size: 13px; line-height: 1.75; color: var(--muted); }\n#lean-etude .le-store-links { display: flex; flex-wrap: wrap; gap: 18px; margin-top: 20px; }\n#lean-etude .le-store-links a { display: flex; align-items: center; min-height: 44px; font-size: 12px; font-weight: 600; line-height: 1.4; }\n#lean-etude .le-donnees h2 { max-width: 19ch; }\n#lean-etude .le-data-list { display: grid; grid-template-columns: repeat(2,minmax(0,1fr)); column-gap: 50px; row-gap: 0; margin-bottom: 35px; }\n#lean-etude .le-data-record { padding: 28px 0; border-top: 1px solid var(--line); }\n#lean-etude .le-data-heading { margin-bottom: 17px; font-size: 16px; font-weight: 500; line-height: 1.5; text-wrap: pretty; }\n#lean-etude .le-data-heading strong { font-weight: 700; }\n#lean-etude .le-data-values { font-size: 13px; line-height: 1.9; color: var(--muted); }\n#lean-etude .le-data-values strong { color: var(--ink); font-weight: 600; font-variant-numeric: tabular-nums; }\n#lean-etude .le-data-note { max-width: 85ch; margin: 18px 0; font-size: 13px; line-height: 1.8; color: var(--muted); }\n#lean-etude .le-data-note:last-child { margin-top: 25px; font-size: 11px; }\n#lean-etude .le-disclosure { border-bottom: 1px solid var(--line); }\n#lean-etude .le-disclosure summary { position: relative; display: block; list-style: none; min-height: 68px; padding: 24px 40px 24px 0; font-size: 17px; font-weight: 500; line-height: 1.4; letter-spacing: -.02em; cursor: pointer; }\n#lean-etude .le-disclosure summary::-webkit-details-marker { display: none; }\n#lean-etude .le-disclosure summary::before, #lean-etude .le-disclosure summary::after { content: \"\"; position: absolute; right: 4px; top: 33px; width: 14px; height: 1px; background: currentColor; transition: transform .25s var(--ease); }\n#lean-etude .le-disclosure summary::after { transform: rotate(90deg); }\n#lean-etude .le-disclosure[open] summary::after { transform: rotate(0); }\n#lean-etude .le-disclosure p { max-width: 75ch; margin: 0 0 22px; font-size: 14px; line-height: 1.8; color: var(--muted); }\n#lean-etude .le-disclosure ul { max-width: 80ch; margin: 0 0 24px; padding-left: 18px; list-style: disc; font-size: 13px; line-height: 1.8; }\n#lean-etude .le-disclosure li + li { margin-top: 13px; }\n#lean-etude .le-faq { display: grid; grid-template-columns: .65fr 1.4fr; gap: 0 70px; background: var(--white); }\n#lean-etude .le-faq .le-section-heading { grid-column: 1; grid-row: 1\/8; }\n#lean-etude .le-faq h2 { font-size: 43px; }\n#lean-etude .le-faq .le-disclosure { grid-column: 2; }\n#lean-etude .le-faq .le-disclosure:first-of-type summary { padding-top: 4px; }\n#lean-etude .le-faq .le-disclosure:first-of-type summary::before, #lean-etude .le-faq .le-disclosure:first-of-type summary::after { top: 13px; }\n#lean-etude .le-suite { color: #F6F4F1; background: var(--night); }\n#lean-etude .le-suite h2 { font-size: 35px; }\n#lean-etude .le-related { display: grid; grid-template-columns: repeat(2,minmax(0,1fr)); column-gap: 65px; row-gap: 0; }\n#lean-etude .le-related li { border-top: 1px solid rgb(255 255 255 \/ 18%); }\n#lean-etude .le-related a { position: relative; display: block; height: 100%; padding: 27px 45px 27px 0; font-size: 18px; font-weight: 500; line-height: 1.4; text-decoration: none; }\n#lean-etude .le-related a::after { content: \"\u2197\"; position: absolute; right: 0; top: 26px; font-size: 23px; transition: transform .25s var(--ease); }\n#lean-etude .le-related a span { display: block; margin-top: 14px; font-size: 12px; font-weight: 400; line-height: 1.7; color: #BFBAB5; }\n#lean-etude .le-suivi { padding: 0; }\n#lean-etude .le-suivi-inner { padding: 100px max(40px,calc((100% - 1280px)\/2)) 0; }\n@media (hover:hover) {\n  #lean-etude .le-profile-button:hover:not([aria-pressed=\"true\"]) { background: rgb(128 128 128 \/ 15%); }\n  #lean-etude .le-nav a:hover:not([aria-current]) { background: #E6E0D9; }\n  #lean-etude .le-explore:hover { transform: translateY(-2px); background: #3C3C3F; }\n  #lean-etude .le-related a:hover::after { transform: translate(3px,-3px); }\n}\n#lean-etude button:active, #lean-etude .le-explore:active { transform: scale(.96); }\n@container lean-study (max-width:1100px) {\n  #lean-etude .le-suivi-inner { padding-inline: 32px; }\n  #lean-etude .le-section { padding-inline: 32px; }\n  #lean-etude .le-ouverture { grid-template-columns: 1.05fr 1fr; }\n  #lean-etude h1 { font-size: 65px; }\n  #lean-etude .le-title-follow { font-size: 23px; }\n  #lean-etude .le-hero-scene { height: 585px; }\n  #lean-etude .le-sculpture { inset: 0 -25px auto; width: calc(100% + 50px); height: 570px; }\n  #lean-etude .le-answer { width: 150px; padding: 12px; }\n  #lean-etude .le-answer strong { font-size: 13px; }\n  #lean-etude .le-answer-0 { left: -5%; }\n  #lean-etude .le-answer-2 { right: 0; }\n  #lean-etude .le-answer-3 { left: -2%; }\n  #lean-etude .le-resume, #lean-etude .le-methode, #lean-etude .le-faq { column-gap: 40px; }\n  #lean-etude .le-method-stats { gap: 22px; }\n  #lean-etude .le-chart { gap: 0 30px; padding: 32px; grid-template-columns: minmax(165px,.7fr) minmax(0,1.8fr); }\n  #lean-etude .le-profile-title { font-size: 17px; }\n  #lean-etude .le-caption-gap { font-size: 26px; }\n  #lean-etude .le-behavior-list { gap: 25px; }\n  #lean-etude .le-comparison-stats strong { font-size: 56px; }\n  #lean-etude .le-time-stage { column-gap: 65px; }\n  #lean-etude .le-checklists { gap: 50px; }\n  #lean-etude .le-app { column-gap: 40px; }\n  #lean-etude .le-app-panel { padding-left: 30px; }\n  #lean-etude .le-verdict { padding-inline: 32px; }\n}\n@container lean-study (max-width:800px) {\n  #lean-etude .le-suivi-inner { padding: 74px 28px 0; }\n  #lean-etude .le-masthead { height: 82px; padding-inline: 28px; }\n  #lean-etude .le-section { padding: 74px 28px; }\n  #lean-etude .le-ouverture { padding-top: 28px; padding-bottom: 34px; gap: 0 12px; }\n  #lean-etude h1 { font-size: 51px; }\n  #lean-etude .le-eyebrow { font-size: 10px; margin-bottom: 22px; }\n  #lean-etude .le-title-follow { margin-top: 20px; font-size: 21px; }\n  #lean-etude .le-deck { font-size: 14px; }\n  #lean-etude .le-hero-scene { height: 530px; }\n  #lean-etude .le-sculpture { inset: 0 -20px auto; width: calc(100% + 40px); height: 520px; }\n  #lean-etude .le-answer { width: 133px; padding: 10px; }\n  #lean-etude .le-answer-name { font-size: 8px; }\n  #lean-etude .le-answer strong { font-size: 12px; }\n  #lean-etude .le-answer-0 { left: -4%; top: 19%; }\n  #lean-etude .le-answer-1 { right: 0; top: 6%; }\n  #lean-etude .le-answer-3 { bottom: 25%; left: -3%; }\n  #lean-etude .le-answer-4 { bottom: 12%; }\n  #lean-etude .le-hero-stats { gap: 24px; grid-template-columns: 1.2fr repeat(3,1fr); margin-top: 20px; }\n  #lean-etude .le-hero-stat > strong { font-size: 38px; }\n  #lean-etude .le-main-stat > strong { font-size: 49px; }\n  #lean-etude .le-main-stat > strong span { font-size: 15px; }\n  #lean-etude .le-hero-stat > span { font-size: 11px; }\n  #lean-etude h2 { font-size: 43px; }\n  #lean-etude .le-resume, #lean-etude .le-methode { grid-template-columns: .6fr 1fr; gap: 25px 40px; }\n  #lean-etude .le-summary-text { font-size: 15px; }\n  #lean-etude .le-summary-list li:first-child strong { font-size: 35px; }\n  #lean-etude .le-summary-list li { gap: 14px; grid-template-columns: 20px 1fr; }\n  #lean-etude .le-summary-verdict { padding-left: 34px; font-size: 14px; }\n  #lean-etude .le-method-stats { grid-template-columns: repeat(2,minmax(0,1fr)); gap: 28px; }\n  #lean-etude .le-method-note { font-size: 12px; }\n  #lean-etude .le-chart { gap: 0 24px; padding: 28px; }\n  #lean-etude .le-chart-caption { font-size: 10px; }\n  #lean-etude .le-caption-gap { font-size: 24px; }\n  #lean-etude .le-model, #lean-etude .le-range-value { font-size: 12px; }\n  #lean-etude .le-comparison-stats strong { font-size: 45px; }\n  #lean-etude .le-comparison-stats li { padding-right: 24px; }\n  #lean-etude .le-comparison-stats li + li { padding-left: 24px; }\n  #lean-etude .le-comparison-stats small { font-size: 14px; }\n  #lean-etude .le-time-stage { column-gap: 38px; grid-template-columns: .8fr 1fr; }\n  #lean-etude .le-timeline li > span { font-size: 18px; }\n  #lean-etude .le-app h2 { font-size: 38px; }\n  #lean-etude .le-verdict { padding: 60px 28px; }\n}\n@container lean-study (max-width:640px) {\n  #lean-etude .le-suivi-inner { padding: 60px 22px 0; }\n  #lean-etude .le-masthead { height: 76px; padding-inline: 22px; gap: 18px; }\n  #lean-etude .le-brand { font-size: 33px; }\n  #lean-etude .le-mast-caption { display: none; }\n  #lean-etude .le-mast-link { font-size: 10px; }\n  #lean-etude .le-section { padding: 60px 22px; }\n  #lean-etude .le-ouverture { display: grid; grid-template-columns: minmax(0,1fr); padding-top: 22px; padding-bottom: 30px; }\n  #lean-etude .le-hero-copy { display: contents; }\n  #lean-etude .le-ouverture .le-eyebrow { grid-row: 1; }\n  #lean-etude .le-ouverture h1 { grid-row: 2; }\n  #lean-etude .le-ouverture .le-hero-scene { grid-row: 3; }\n  #lean-etude .le-ouverture .le-deck { grid-row: 4; }\n  #lean-etude .le-ouverture .le-hero-actions { grid-row: 5; }\n  #lean-etude .le-ouverture .le-byline { grid-row: 6; }\n  #lean-etude .le-ouverture .le-hero-stats { grid-row: 7; }\n  #lean-etude h1 { font-size: clamp(40px,10.4cqi,62px); line-height: 1.04; font-weight: 650; }\n  #lean-etude .le-eyebrow { margin-bottom: 22px; font-size: 11px; }\n  #lean-etude .le-title-follow { max-width: 26ch; margin-top: 22px; font-size: 22px; }\n  #lean-etude .le-deck { margin-top: 21px; font-size: 14px; }\n  #lean-etude .le-hero-actions { margin-top: 22px; }\n  #lean-etude .le-explore { min-height: 44px; padding: 11px 21px; font-size: 12px; }\n  #lean-etude .le-byline { max-width: 57ch; margin-top: 20px; font-size: 9px; }\n  #lean-etude .le-hero-scene { height: 465px; margin-top: 17px; }\n  #lean-etude .le-sculpture { inset: -5px 0 auto; width: 100%; height: 470px; }\n  #lean-etude .le-answer { width: 138px; padding: 10px 12px; }\n  #lean-etude .le-answer-name { font-size: 8px; }\n  #lean-etude .le-answer strong { font-size: 12px; }\n  #lean-etude .le-answer-line { margin-top: 9px; }\n  #lean-etude .le-answer-0 { top: 36%; left: 0; }\n  #lean-etude .le-answer-1 { top: 5%; right: 0; }\n  #lean-etude .le-answer-2 { top: 41%; right: 0; }\n  #lean-etude .le-answer-3 { bottom: 19%; left: 0; }\n  #lean-etude .le-answer-4 { bottom: 9%; right: 0; }\n  #lean-etude .le-scene-label { bottom: 0; right: 0; font-size: 9px; }\n  #lean-etude .le-hero-stats { grid-template-columns: repeat(3,minmax(0,1fr)); gap: 30px 24px; margin-top: 35px; padding-top: 25px; }\n  #lean-etude .le-main-stat { grid-column: 1\/-1; display: flex; align-items: center; justify-content: space-between; gap: 20px; padding-bottom: 25px; border-bottom: 1px solid var(--line); }\n  #lean-etude .le-main-stat > strong { flex: 0 0 auto; margin: 0; font-size: 65px; }\n  #lean-etude .le-main-stat > strong span { display: block; margin-top: 8px; font-size: 16px; }\n  #lean-etude .le-main-stat > span { max-width: 19ch; font-size: 13px; }\n  #lean-etude .le-mini-stat > strong { font-size: 35px; }\n  #lean-etude .le-mini-stat > span { font-size: 10px; }\n  #lean-etude .le-nav { justify-content: space-between; gap: 0; padding: 7px 12px; }\n  #lean-etude .le-nav a { min-height: 44px; padding: 0 9px; font-size: 10px; }\n  #lean-etude h2 { font-size: clamp(35px,8.5cqi,48px); }\n  #lean-etude .le-section-label { font-size: 11px; margin-bottom: 18px; }\n  #lean-etude .le-section-heading { margin-bottom: 30px; }\n  #lean-etude .le-resume, #lean-etude .le-methode, #lean-etude .le-faq, #lean-etude .le-app { display: block; }\n  #lean-etude .le-resume h2 { max-width: 16ch; }\n  #lean-etude .le-summary-list li:first-child strong { font-size: 44px; }\n  #lean-etude .le-summary-list li { grid-template-columns: 18px 1fr; gap: 18px; padding-block: 22px; }\n  #lean-etude .le-summary-text { font-size: 16px; }\n  #lean-etude .le-summary-num { font-size: 13px; }\n  #lean-etude .le-summary-verdict { padding-left: 36px; margin-top: 10px; font-size: 14px; }\n  #lean-etude .le-methode h2 { max-width: 15ch; font-size: 36px; }\n  #lean-etude .le-method-stats { margin: 36px 0; grid-template-columns: repeat(4,minmax(0,1fr)); gap: 15px; }\n  #lean-etude .le-method-stats strong { margin-bottom: 12px; 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}\n  #lean-etude .le-comparison-stats strong { font-size: 40px; }\n  #lean-etude .le-verdict { padding-inline: 18px; font-size: 26px; }\n}\n#lean-etude .le-suivi { padding: 0; }\n@media (prefers-reduced-motion:reduce) {\n  #lean-etude *, #lean-etude *::before, #lean-etude *::after { animation: none !important; transition: none !important; scroll-behavior: auto !important; }\n  #lean-etude .le-sculpture { transform: none; }\n}\n@media print {\n  #lean-etude { background: #fff; color: #222326; font-size: 11pt; }\n  #lean-etude .le-masthead, #lean-etude .le-hero-scene, #lean-etude .le-nav, #lean-etude .le-progress, #lean-etude .le-chart-controls, #lean-etude .le-time-dial, #lean-etude .le-hero-actions { display: none !important; }\n  #lean-etude .le-section { width: 100%; padding: 24px 0; background: #fff; color: #222326; }\n  #lean-etude .le-chart[hidden] { display: grid !important; }\n  #lean-etude .le-chart { break-inside: avoid; border: 1px solid #ccc; }\n  #lean-etude .le-ouverture, #lean-etude .le-resume, #lean-etude .le-methode, #lean-etude .le-faq, #lean-etude .le-app, #lean-etude .le-time-stage { display: block; }\n  #lean-etude .le-timeline li { min-height: 0; padding: 16px 0; }\n  #lean-etude .le-verdict { margin: 0; padding: 24px; }\n  #lean-etude .le-disclosure::details-content { content-visibility: visible; }\n}\n\n<\/style>\n<article aria-labelledby=\"le-title\" id=\"lean-etude\" lang=\"fr\"><div aria-hidden=\"true\" class=\"le-progress\"><i><\/i><\/div><section class=\"le-section le-ouverture\" id=\"le-ouverture\"><div class=\"le-hero-copy\"><p class=\"le-eyebrow\">Studie \u00b7 G\u00e5 ner i vikt med l&rsquo;IA<\/p>\n<h1 id=\"le-title\"><span class=\"le-title-line\">G\u00e5 ner i vikt<\/span> <span class=\"le-title-line\">med ChatGPT,<\/span> <span class=\"le-title-accent\">fungerar det?<\/span> <span class=\"le-title-follow\">Vi st\u00e4llde fr\u00e5gan 291 g\u00e5nger till 5 AI-modeller<\/span><\/h1><p class=\"le-deck\">Samma person, samma fr\u00e5ga, upp till 1 260 kcal i skillnad. H\u00e4r \u00e4r vad AI:erna svarar, och vad de inte kan g\u00f6ra.<\/p>\n<div class=\"le-hero-actions\" data-visual-copy=\"\"><a class=\"le-explore\" href=\"#le-resume\">Utforska studien<\/a><span class=\"le-scroll-cue\">\u2193<\/span><\/div><p class=\"le-byline\">Oberoende studie av Lean-teamet, appen som r\u00e4knar om din f\u00f6rbrukning varje dag utifr\u00e5n dina m\u00e4tningar \u00b7 9 september 2026 \u00b7 \u00d6ppna data<\/p>\n<\/div><div aria-hidden=\"true\" class=\"le-hero-scene\" data-visual-copy=\"\"><img alt=\"Buste anatomique translucide, illustration de la d\u00e9pense \u00e9nerg\u00e9tique du corps\" class=\"le-sculpture\" loading=\"eager\" decoding=\"sync\" fetchpriority=\"high\" height=\"1400\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/09\/etude-chatgpt-hero-metabolism.webp\" width=\"1120\"\/><div class=\"le-scene-orbit\"><\/div><span class=\"le-scene-label\">P2 \u00b7 Enkel prompt<\/span><div class=\"le-answer le-answer-0\" style=\"--order:0\"><span class=\"le-answer-name\">ChatGPT (GPT-5.5)<\/span><strong>1 600 till 2 700 kcal<\/strong><i class=\"le-answer-line\"><\/i><\/div><div class=\"le-answer le-answer-1\" style=\"--order:1\"><span class=\"le-answer-name\">ChatGPT (GPT-5.4 mini)<\/span><strong>1 600 till 2 760 kcal<\/strong><i class=\"le-answer-line\"><\/i><\/div><div class=\"le-answer le-answer-2\" style=\"--order:2\"><span class=\"le-answer-name\">Gemini 3.7 Flash<\/span><strong>1 600 till 2 600 kcal<\/strong><i class=\"le-answer-line\"><\/i><\/div><div class=\"le-answer le-answer-3\" style=\"--order:3\"><span class=\"le-answer-name\">Gemini 3.1 Pro<\/span><strong>1 600 till 2 700 kcal<\/strong><i class=\"le-answer-line\"><\/i><\/div><div class=\"le-answer le-answer-4\" style=\"--order:4\"><span class=\"le-answer-name\">Claude Opus<\/span><strong>1 500 till 2 500 kcal<\/strong><i class=\"le-answer-line\"><\/i><\/div><\/div><ul class=\"le-hero-stats\"><li class=\"le-hero-stat le-main-stat\"><strong>1 260 <span>kcal<\/span><\/strong><span>i skillnad f\u00f6r samma profil, enkel prompt<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>0 %<\/strong><span>fr\u00e5gar efter kroppsfett<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>97 %<\/strong><span>svarar med ett &ldquo;stillasittande \/ aktivt&rdquo;-schema<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>14 %<\/strong><span>n\u00e4mner metabol anpassning<\/span><\/li>\n<\/ul>\n<\/section>\n<nav aria-label=\"I denna studie\" class=\"le-nav\"><a href=\"#le-resume\">Sammanfattning<\/a><a href=\"#le-simple\">Resultat<\/a><a href=\"#le-suivi\">Det verkliga problemet<\/a><a href=\"#le-donnees\">Data<\/a><a href=\"#le-faq\">FAQ<\/a><\/nav>\n<section aria-labelledby=\"le-resume-title\" class=\"le-section le-resume\" id=\"le-resume\"><header class=\"le-section-heading\"><span class=\"le-section-label\">Sammanfattning<\/span><h2 id=\"le-resume-title\">Studien p\u00e5 30 sekunder<\/h2><\/header>\n<ul class=\"le-summary-list\"><li><span class=\"le-summary-num\">1<\/span><span class=\"le-summary-text\"><strong>291 svar<\/strong> fr\u00e5n ChatGPT, Gemini och Claude p\u00e5 fr\u00e5gan &ldquo;hur m\u00e5nga kalorier f\u00f6r att g\u00e5 ner i vikt?&rdquo;, f\u00f6r 6 identiska profiler.<\/span><\/li>\n<li><span class=\"le-summary-num\">2<\/span><span class=\"le-summary-text\">Enkel prompt (\u00e5lder, vikt, l\u00e4ngd): samma person f\u00e5r <strong>fr\u00e5n 1 500 till 2 700 kcal<\/strong> beroende p\u00e5 AI:n och tillf\u00e4llet.<\/span><\/li>\n<li><span class=\"le-summary-num\">3<\/span><span class=\"le-summary-text\"><strong>0 %<\/strong> av svaren fr\u00e5gar efter kroppsfett. <strong>97 %<\/strong> returnerar ett \u201dstillasittande \/ m\u00e5ttlig \/ aktiv\u201d-rutn\u00e4t, formeln fr\u00e5n 1990.<\/span><\/li>\n<li><span class=\"le-summary-num\">4<\/span><span class=\"le-summary-text\">Fullst\u00e4ndig prompt (kroppsfett, steg, pass): fortfarande <strong>650 kcal<\/strong> av skillnad, och kroppsfett anv\u00e4nds bara i <strong>40 %<\/strong> ber\u00e4kningarna.<\/span><\/li>\n<li><span class=\"le-summary-num\">5<\/span><span class=\"le-summary-text\">Ingen AI f\u00f6ljer upp n\u00e4sta dag: dagens steg, m\u00e5ltider, termisk effekt, metabol anpassning (<strong>14 %<\/strong> de n\u00e4mner det). Siffran \u00e4r l\u00e5st p\u00e5 dag 1.<\/span><\/li>\n<\/ul>\n<div class=\"le-summary-verdict\"><strong>Dom.<\/strong> Det kan fungera av tur, inte av metod: utan m\u00e4tning eller dagliga uppdateringar \u00e4r svaret ett befolkningsgenomsnitt som \u00e4r l\u00e5st den f\u00f6rsta dagen.<\/div><\/section>\n<section aria-labelledby=\"le-methode-title\" class=\"le-section le-methode\" id=\"le-methode\"><header class=\"le-section-heading\"><span class=\"le-section-label\">01 \u00b7 Metod<\/span><h2 id=\"le-methode-title\">Vad vi gjorde<\/h2><\/header>\n<ul class=\"le-method-stats\"><li><strong>6<\/strong><span>identiska profiler, fr\u00e5n den atletiska kvinnan till den stillasittande mannen<\/span><\/li>\n<li><strong>2<\/strong><span>promptniv\u00e5er: enkel, sedan fullst\u00e4ndig<\/span><\/li>\n<li><strong>5<\/strong><span>AI-tj\u00e4nster f\u00f6r allm\u00e4nheten, ny konversation varje g\u00e5ng<\/span><\/li>\n<li><strong>291<\/strong><span>tidsst\u00e4mplade svar, publicerade som \u00f6ppna data<\/span><\/li>\n<\/ul>\n<p class=\"le-method-note\">ChatGPT (GPT-5.5 och GPT-5.4 mini), Gemini (3.7 Flash och 3.1 Pro), Claude Opus. Franska och engelska, 2 till 3 upprepningar, utan n\u00e5gra instruktioner. Den svarta linjen i graferna: m\u00e5let ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n de uppm\u00e4tta data (BMR p\u00e5 fettfri massa, steg, pass, TEF, underskott p\u00e5 500 kcal).<\/p>\n<\/section>\n<section aria-labelledby=\"le-simple-title\" class=\"le-section le-simple\" id=\"le-simple\"><header class=\"le-section-heading\"><span class=\"le-section-label\">02 \u00b7 Resultat 1<\/span><h2 id=\"le-simple-title\">Enkel prompt: fr\u00e5n 1 500 till 2 700 kcal f\u00f6r samma person<\/h2><\/header>\n<p class=\"le-result-intro\">&ldquo;Jag \u00e4r en man p\u00e5 32 \u00e5r, 78 kg, 180 cm, jag vill g\u00e5 ner i vikt, hur m\u00e5nga kalorier per dag?&rdquo; Fr\u00e5gan som miljontals m\u00e4nniskor st\u00e4ller den.<\/p>\n<div class=\"le-chart-controls\" data-controls=\"simple\" hidden=\"\"><div aria-label=\"Profiler, enkel prompt\" class=\"le-profile-buttons\" role=\"group\"><button aria-controls=\"le-simple-p1\" aria-label=\"P1 \u00b7 Homme 32 ans, 78 kg, 180 cm, 12 % MG, 12 000 pas, 4 muscu\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"1\" type=\"button\">P1<\/button><button aria-controls=\"le-simple-p2\" aria-label=\"P2 \u00b7 Homme 32 ans, 78 kg, 180 cm, 28 % MG, 4 000 pas, aucun sport\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"2\" type=\"button\">P2<\/button><button aria-controls=\"le-simple-p3\" aria-label=\"P3 \u00b7 Femme 28 ans, 62 kg, 165 cm, 22 % MG, 9 000 pas, 3 fitness\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"3\" type=\"button\">P3<\/button><button aria-controls=\"le-simple-p4\" aria-label=\"P4 \u00b7 Femme 45 ans, 70 kg, 165 cm, 35 % MG, 3 500 pas, aucun sport\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"4\" type=\"button\">P4<\/button><button aria-controls=\"le-simple-p5\" aria-label=\"P5 \u00b7 Homme 50 ans, 95 kg, 178 cm, 30 % MG, 6 000 pas, 2 marches\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"5\" type=\"button\">P5<\/button><button aria-controls=\"le-simple-p6\" aria-label=\"P6 \u00b7 Femme 24 ans, 55 kg, 170 cm, 18 % MG, 14 000 pas, 5 courses\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"6\" type=\"button\">P6<\/button><\/div><button aria-pressed=\"false\" class=\"le-all-button\" data-all=\"\" type=\"button\">Visa alla<\/button><\/div><div class=\"le-figures\" data-charts=\"simple\"><figure aria-labelledby=\"le-simple-p1-title\" class=\"le-chart\" data-profile=\"1\" id=\"le-simple-p1\"><h3 class=\"le-profile-title\" id=\"le-simple-p1-title\"><span class=\"le-profile-code\">P1<\/span> \u00b7 <span class=\"le-profile-description\">Man 32 \u00e5r, 78 kg, 180 cm, 12 % kroppsfett, 12 000 steg, 4 styrkepass\/vecka<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"60.0\" style=\"--start:25.0%;--span:60.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">1 500 till 2 700<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"47.5\" style=\"--start:25.0%;--span:47.5%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">1 500 till 2 450<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"52.5\" style=\"--start:30.0%;--span:52.5%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">1 600 till 2 650<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.1 Pro<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"55.0\" style=\"--start:30.0%;--span:55.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">1 600 till 2 700<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"55.0\" style=\"--start:25.0%;--span:55.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">1 500 till 2 600<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">1 500 till 2 700 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">1 200 kcal skillnad<\/strong> (28 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n de uppm\u00e4tta data (2 360 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-simple-p2-title\" class=\"le-chart\" data-profile=\"2\" id=\"le-simple-p2\"><h3 class=\"le-profile-title\" id=\"le-simple-p2-title\"><span class=\"le-profile-code\">P2<\/span> \u00b7 <span class=\"le-profile-description\">Man 32 \u00e5r, 78 kg, 180 cm, 28 % kroppsfett, 4 000 steg, ingen sport<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"55.0\" style=\"--start:30.0%;--span:55.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 600 till 2 700<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"58.0\" style=\"--start:30.0%;--span:58.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 600 till 2 760<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"50.0\" style=\"--start:30.0%;--span:50.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 600 till 2 600<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.1 Pro<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"55.0\" style=\"--start:30.0%;--span:55.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 600 till 2 700<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"50.0\" style=\"--start:25.0%;--span:50.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 500 till 2 500<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">1 500 till 2 760 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">1 260 kcal skillnad<\/strong> (28 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n de uppm\u00e4tta data (1 390 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-simple-p3-title\" class=\"le-chart\" data-profile=\"3\" id=\"le-simple-p3\"><h3 class=\"le-profile-title\" id=\"le-simple-p3-title\"><span class=\"le-profile-code\">P3<\/span> \u00b7 <span class=\"le-profile-description\">Kvinna 28 \u00e5r, 62 kg, 165 cm, 22 % kroppsfett, 9 000 steg, 3 fitnesspass\/vecka<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"40.0\" style=\"--start:10.0%;--span:40.0%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 200 till 2 000<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"6.5\" data-width=\"34.5\" style=\"--start:6.5%;--span:34.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 130 till 1 820<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"15.0\" data-width=\"22.5\" style=\"--start:15.0%;--span:22.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 300 till 1 750<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.1 Pro<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"30.0\" style=\"--start:10.0%;--span:30.0%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 200 till 1 800<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"35.0\" style=\"--start:10.0%;--span:35.0%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 200 till 1 900<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">1 130 till 2 000 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">870 kcal spridning<\/strong> (25 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n de uppm\u00e4tta data (1 499 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-simple-p4-title\" class=\"le-chart\" data-profile=\"4\" id=\"le-simple-p4\"><h3 class=\"le-profile-title\" id=\"le-simple-p4-title\"><span class=\"le-profile-code\">P4<\/span> \u00b7 <span class=\"le-profile-description\">Kvinna 45 \u00e5r, 70 kg, 165 cm, 35 % kroppsfett, 3 500 steg, ingen sport<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"40.0\" style=\"--start:10.0%;--span:40.0%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 200 till 2 000<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"5.0\" data-width=\"37.5\" style=\"--start:5.0%;--span:37.5%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 100 till 1 850<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"12.5\" data-width=\"30.0\" style=\"--start:12.5%;--span:30.0%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 250 till 1 850<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"30.0\" style=\"--start:10.0%;--span:30.0%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 200 till 1 800<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">1 100 till 2 000 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">900 kcal spridning<\/strong> (22 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n de uppm\u00e4tta data (1 082 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-simple-p5-title\" class=\"le-chart\" data-profile=\"5\" id=\"le-simple-p5\"><h3 class=\"le-profile-title\" id=\"le-simple-p5-title\"><span class=\"le-profile-code\">P5<\/span> \u00b7 <span class=\"le-profile-description\">Man 50 \u00e5r, 95 kg, 178 cm, 30 % kroppsfett, 6 000 steg, 2 promenader\/vecka<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"45.0\" style=\"--start:25.0%;--span:45.0%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 500 till 2 400<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"34.0\" data-width=\"43.5\" style=\"--start:34.0%;--span:43.5%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 680 till 2 550<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"32.5\" data-width=\"32.5\" style=\"--start:32.5%;--span:32.5%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 650 till 2 300<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"40.0\" style=\"--start:25.0%;--span:40.0%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 500 till 2 300<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">1 500 till 2 550 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">1 050 kcal spridning<\/strong> (22 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n de uppm\u00e4tta data (1 918 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-simple-p6-title\" class=\"le-chart\" data-profile=\"6\" id=\"le-simple-p6\"><h3 class=\"le-profile-title\" id=\"le-simple-p6-title\"><span class=\"le-profile-code\">P6<\/span> \u00b7 <span class=\"le-profile-description\">Kvinna 24 \u00e5r, 55 kg, 170 cm, 18 % kroppsfett, 14 000 steg, 5 l\u00f6ppass\/vecka<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"35.0\" style=\"--start:10.0%;--span:35.0%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 200 till 1 900<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"32.5\" style=\"--start:10.0%;--span:32.5%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 200 till 1 850<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"30.0\" style=\"--start:30.0%;--span:30.0%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 600 till 2 200<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">1 200 till 2 200 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">1 000 kcal spridning<\/strong> (16 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n de uppm\u00e4tta data (1 735 kcal).<\/figcaption>\n<\/figure>\n<\/div><div class=\"le-behavior\"><h3 class=\"le-behavior-title\">AI-beteende, enkel prompt (147 svar)<\/h3><ul class=\"le-behavior-list\"><li data-percent=\"0\" style=\"--percent:0%\"><strong>0 %<\/strong><span>fr\u00e5gar efter kroppsfettprocent<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"1\" style=\"--percent:1%\"><strong>1 %<\/strong><span>fr\u00e5gar efter dagligt stegantal<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"97\" style=\"--percent:97%\"><strong>97 %<\/strong><span>anv\u00e4nder ett deklarativt aktivitetsrutn\u00e4t<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"48\" style=\"--percent:48%\"><strong>48 %<\/strong><span>citerar Mifflin-St Jeor eller Harris-Benedict (1990, 1919)<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"0\" style=\"--percent:0%\"><strong>0 %<\/strong><span>n\u00e4mner livsmedlens termiska effekt<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-insight\">P1 och P2 st\u00e4llde <strong>exakt samma fr\u00e5ga<\/strong> (samma \u00e5lder, vikt, l\u00e4ngd) och fick samma rutn\u00e4t. Deras verkliga f\u00f6rbrukning skiljer sig \u00e4nd\u00e5 med n\u00e4stan 1 000 kcal per dag: 12 % kroppsfett och 12 000 steg p\u00e5 ena sidan, 28 % och 4 000 steg p\u00e5 den andra.<\/div><\/section>\n<section aria-labelledby=\"le-complet-title\" class=\"le-section le-complet\" id=\"le-complet\"><header class=\"le-section-heading\"><span class=\"le-section-label\">03 \u00b7 Resultat 2<\/span><h2 id=\"le-complet-title\">Fullst\u00e4ndig prompt: fortfarande ett gap p\u00e5 650 kcal<\/h2><\/header>\n<p class=\"le-result-intro\">Vi ger allt: kroppsfett, steg per dag, pass, och &ldquo;ge mig ett exakt tal&rdquo;. Alla f\u00f6ljer. Ett exakt tal \u00e4r inte ett r\u00e4tt tal.<\/p>\n<div class=\"le-chart-controls\" data-controls=\"complet\" hidden=\"\"><div aria-label=\"Profiler, fullst\u00e4ndig prompt\" class=\"le-profile-buttons\" role=\"group\"><button aria-controls=\"le-complet-p1\" aria-label=\"P1 \u00b7 Homme 32 ans, 78 kg, 180 cm, 12 % MG, 12 000 pas, 4 muscu\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"1\" type=\"button\">P1<\/button><button aria-controls=\"le-complet-p2\" aria-label=\"P2 \u00b7 Homme 32 ans, 78 kg, 180 cm, 28 % MG, 4 000 pas, aucun sport\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"2\" type=\"button\">P2<\/button><button aria-controls=\"le-complet-p3\" aria-label=\"P3 \u00b7 Femme 28 ans, 62 kg, 165 cm, 22 % MG, 9 000 pas, 3 fitness\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"3\" type=\"button\">P3<\/button><button aria-controls=\"le-complet-p4\" aria-label=\"P4 \u00b7 Femme 45 ans, 70 kg, 165 cm, 35 % MG, 3 500 pas, aucun sport\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"4\" type=\"button\">P4<\/button><button aria-controls=\"le-complet-p5\" aria-label=\"P5 \u00b7 Homme 50 ans, 95 kg, 178 cm, 30 % MG, 6 000 pas, 2 marches\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"5\" type=\"button\">P5<\/button><button aria-controls=\"le-complet-p6\" aria-label=\"P6 \u00b7 Femme 24 ans, 55 kg, 170 cm, 18 % MG, 14 000 pas, 5 courses\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"6\" type=\"button\">P6<\/button><\/div><button aria-pressed=\"false\" class=\"le-all-button\" data-all=\"\" type=\"button\">Visa alla<\/button><\/div><div class=\"le-figures\" data-charts=\"complet\"><figure aria-labelledby=\"le-complet-p1-title\" class=\"le-chart\" data-profile=\"1\" id=\"le-complet-p1\"><h3 class=\"le-profile-title\" id=\"le-complet-p1-title\"><span class=\"le-profile-code\">P1<\/span> \u00b7 <span class=\"le-profile-description\">Man 32 \u00e5r, 78 kg, 180 cm, 12 % kroppsfett, 12 000 steg, 4 styrkepass\/vecka<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"67.5\" data-width=\"20.0\" style=\"--start:67.5%;--span:20.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">2 350 till 2 750<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"65.0\" data-width=\"10.0\" style=\"--start:65.0%;--span:10.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">2 300 till 2 500<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"55.0\" data-width=\"15.0\" style=\"--start:55.0%;--span:15.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">2 100 till 2 400<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.1 Pro<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"65.0\" data-width=\"20.0\" style=\"--start:65.0%;--span:20.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">2 300 till 2 700<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"62.5\" data-width=\"10.0\" style=\"--start:62.5%;--span:10.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">2 250 till 2 450<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">2 100 till 2 750 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">650 kcal skillnad<\/strong> (28 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n de uppm\u00e4tta data (2 360 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-complet-p2-title\" class=\"le-chart\" data-profile=\"2\" id=\"le-complet-p2\"><h3 class=\"le-profile-title\" id=\"le-complet-p2-title\"><span class=\"le-profile-code\">P2<\/span> \u00b7 <span class=\"le-profile-description\">Man 32 \u00e5r, 78 kg, 180 cm, 28 % kroppsfett, 4 000 steg, ingen sport<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"10.0\" style=\"--start:30.0%;--span:10.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 600 till 1 800<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"37.5\" data-width=\"12.5\" style=\"--start:37.5%;--span:12.5%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 750 till 2 000<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"27.5\" data-width=\"10.0\" style=\"--start:27.5%;--span:10.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 550 till 1 750<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.1 Pro<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"20.0\" data-width=\"20.0\" style=\"--start:20.0%;--span:20.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 400 till 1 800<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"32.5\" data-width=\"15.0\" style=\"--start:32.5%;--span:15.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 650 till 1 950<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">1 400 till 2 000 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">600 kcal skillnad<\/strong> (28 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n de uppm\u00e4tta data (1 390 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-complet-p3-title\" class=\"le-chart\" data-profile=\"3\" id=\"le-complet-p3\"><h3 class=\"le-profile-title\" id=\"le-complet-p3-title\"><span class=\"le-profile-code\">P3<\/span> \u00b7 <span class=\"le-profile-description\">Kvinna 28 \u00e5r, 62 kg, 165 cm, 22 % kroppsfett, 9 000 steg, 3 fitnesspass\/vecka<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"12.5\" style=\"--start:30.0%;--span:12.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 600 till 1 850<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"35.0\" data-width=\"7.5\" style=\"--start:35.0%;--span:7.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 700 till 1 850<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"12.5\" style=\"--start:25.0%;--span:12.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 500 till 1 750<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"22.5\" data-width=\"22.5\" style=\"--start:22.5%;--span:22.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 450 till 1 900<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">1 450 till 1 900 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">450 kcal skillnad<\/strong> (22 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent p\u00e5 uppm\u00e4tta data (1 499 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-complet-p4-title\" class=\"le-chart\" data-profile=\"4\" id=\"le-complet-p4\"><h3 class=\"le-profile-title\" id=\"le-complet-p4-title\"><span class=\"le-profile-code\">P4<\/span> \u00b7 <span class=\"le-profile-description\">Kvinna 45 \u00e5r, 70 kg, 165 cm, 35 % kroppsfett, 3 500 steg, ingen sport<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"12.5\" style=\"--start:10.0%;--span:12.5%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 200 till 1 450<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"12.5\" data-width=\"12.5\" style=\"--start:12.5%;--span:12.5%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 250 till 1 500<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"15.0\" data-width=\"5.0\" style=\"--start:15.0%;--span:5.0%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 300 till 1 400<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"20.0\" style=\"--start:10.0%;--span:20.0%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 200 till 1 600<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">1 200 till 1 600 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">400 kcal skillnad<\/strong> (22 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n de uppm\u00e4tta data (1 082 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-complet-p5-title\" class=\"le-chart\" data-profile=\"5\" id=\"le-complet-p5\"><h3 class=\"le-profile-title\" id=\"le-complet-p5-title\"><span class=\"le-profile-code\">P5<\/span> \u00b7 <span class=\"le-profile-description\">Man 50 \u00e5r, 95 kg, 178 cm, 30 % kroppsfett, 6 000 steg, 2 promenader\/vecka<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"42.5\" data-width=\"17.5\" style=\"--start:42.5%;--span:17.5%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 850 till 2 200<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"45.0\" data-width=\"7.5\" style=\"--start:45.0%;--span:7.5%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 900 till 2 050<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"42.5\" data-width=\"6.5\" style=\"--start:42.5%;--span:6.5%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 850 till 1 980<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"25.0\" style=\"--start:30.0%;--span:25.0%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 600 till 2 100<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">1 600 till 2 200 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">600 kcal skillnad<\/strong> (22 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n de uppm\u00e4tta data (1 918 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-complet-p6-title\" class=\"le-chart\" data-profile=\"6\" id=\"le-complet-p6\"><h3 class=\"le-profile-title\" id=\"le-complet-p6-title\"><span class=\"le-profile-code\">P6<\/span> \u00b7 <span class=\"le-profile-description\">Kvinna 24 \u00e5r, 55 kg, 170 cm, 18 % kroppsfett, 14 000 steg, 5 l\u00f6ppass\/vecka<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"45.0\" data-width=\"20.0\" style=\"--start:45.0%;--span:20.0%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 900 till 2 300<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"42.5\" data-width=\"17.5\" style=\"--start:42.5%;--span:17.5%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 850 till 2 200<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"65.0\" data-width=\"10.0\" style=\"--start:65.0%;--span:10.0%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">2 300 till 2 500<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"45.0\" data-width=\"25.0\" style=\"--start:45.0%;--span:25.0%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 900 till 2 400<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alla AI tillsammans: <strong class=\"le-caption-range\">1 850 till 2 500 kcal<\/strong>, det vill s\u00e4ga <strong class=\"le-caption-gap\">650 kcal skillnad<\/strong> (19 svar). Svart linje: m\u00e5l ber\u00e4knat komponent f\u00f6r komponent utifr\u00e5n uppm\u00e4tta data (1 735 kcal).<\/figcaption>\n<\/figure>\n<\/div><div class=\"le-behavior\"><h3 class=\"le-behavior-title\">AI-beteende, fullst\u00e4ndig prompt (144 svar)<\/h3><ul class=\"le-behavior-list\"><li data-percent=\"40\" style=\"--percent:40%\"><strong>40 %<\/strong><span>anv\u00e4nder faktiskt det angivna kroppsfettet<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"42\" style=\"--percent:42%\"><strong>42 %<\/strong><span>omvandlar de angivna stegen till kalorier<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"14\" style=\"--percent:14%\"><strong>14 %<\/strong><span>n\u00e4mner metabol anpassning<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"3\" style=\"--percent:3%\"><strong>3 %<\/strong><span>n\u00e4mner livsmedlens termiska effekt<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"97\" style=\"--percent:97%\"><strong>97 %<\/strong><span>ger ett enda tal, som beg\u00e4rt<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-comparison\" data-comparison=\"\"><h3 class=\"le-comparison-title\">P1 mot P2-testet: samma vikt, olika kroppar<\/h3><ul class=\"le-comparison-stats\"><li><strong>699 <small>kcal<\/small><\/strong><span>av skillnad mellan P1 och P2 enligt AI:erna (genomsnitt)<\/span><\/li>\n<li><strong>970 <small>kcal<\/small><\/strong><span>av skillnad n\u00e4r man r\u00e4knar komponent f\u00f6r komponent<\/span><\/li>\n<li><strong>+324 <small>kcal<\/small><\/strong><span>f\u00f6r mycket f\u00f6r den stillasittande profilen vid 28 % kroppsfett<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-insight\">AI:erna ser skillnaden mellan de tv\u00e5 m\u00e4nnen, men underskattar den: de justerar en populationsformel i st\u00e4llet f\u00f6r att m\u00e4ta. Den stillasittande profilen, den som &ldquo;g\u00f6r allt r\u00e4tt&rdquo;, f\u00e5r ett m\u00e5l som \u00e4r f\u00f6r h\u00f6gt och g\u00e5r inte ner alls.<\/div><\/section>\n<section aria-labelledby=\"le-suivi-title\" class=\"le-section le-suivi\" id=\"le-suivi\"><div class=\"le-suivi-inner\"><header class=\"le-section-heading\"><span class=\"le-section-label\">04 \u00b7 Den verkliga fr\u00e5gan<\/span><h2 id=\"le-suivi-title\">Problemet \u00e4r inte dag 1, det \u00e4r <span class=\"le-time-headline\">89 f\u00f6ljande dagar<\/span><\/h2><\/header>\n<p class=\"le-time-intro\">78 % av de detaljerade svaren r\u00e5der att &ldquo;v\u00e4ga sig och justera&rdquo;. Inget g\u00f6r det \u00e5t dig.<\/p>\n<div class=\"le-time-stage\"><div aria-hidden=\"true\" class=\"le-time-dial\" data-visual-copy=\"\"><div class=\"le-dial-face\"><span class=\"le-dial-unit\" data-current-unit=\"\">Dag<\/span><span class=\"le-dial-day\" data-current-day=\"\">1<\/span><\/div><span class=\"le-dial-caption\">Siffran \u00e4r l\u00e5st p\u00e5 dag 1.<\/span><\/div><ul class=\"le-timeline\"><li><strong><span>Dag<\/span> <b>1<\/b><\/strong><span>Chatboten f\u00e5r en vikt och svarar en g\u00e5ng.<\/span><\/li>\n<li><strong><span>Dag<\/span> <b>2<\/b><\/strong><span>Du gick 4 000 steg i st\u00e4llet f\u00f6r 11 000. Den vet det inte.<\/span><\/li>\n<li><strong><span>Vecka<\/span> <b>3<\/b><\/strong><span>Du gjorde 6 pass och \u00e4ndrade dina makron. Den vet det inte.<\/span><\/li>\n<li><strong><span>Dag<\/span> <b>90<\/b><\/strong><span>Du gick ner 4 kg, din \u00e4mnesoms\u00e4ttning sj\u00f6nk och anpassade sig sedan. Den vet fortfarande inte det.<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-checklists\"><div class=\"le-checklist le-checklist-no\"><h3>Det som chatboten inte vet<\/h3><ul><li><span>\u2715<\/span><span>Dina steg f\u00f6r dagen<\/span><\/li>\n<li><span>\u2715<\/span><span>Dina m\u00e5ltider f\u00f6r dagen och deras termiska effekt<\/span><\/li>\n<li><span>\u2715<\/span><span>Ditt verkliga kroppsfett, och hur det utvecklas<\/span><\/li>\n<li><span>\u2715<\/span><span>Hur din \u00e4mnesoms\u00e4ttning anpassar sig \u00f6ver veckorna<\/span><\/li>\n<li><span>\u2715<\/span><span>Ingen kurva, inget diagram \u00f6ver din f\u00f6rbrukning<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-checklist le-checklist-yes\"><h3>Vad verklig uppf\u00f6ljning kr\u00e4ver<\/h3><ul><li><span>\u2713<\/span><span>F\u00f6rbrukning omr\u00e4knad varje dag utifr\u00e5n m\u00e4tningar<\/span><\/li>\n<li><span>\u2713<\/span><span>M\u00e5l som r\u00f6r sig med stegen och passen<\/span><\/li>\n<li><span>\u2713<\/span><span>Kroppsfett omm\u00e4tt regelbundet<\/span><\/li>\n<li><span>\u2713<\/span><span>Automatisk korrigering av metabol anpassning<\/span><\/li>\n<li><span>\u2713<\/span><span>En l\u00e4sbar kurva \u00f6ver din TDEE och dess utveckling<\/span><\/li>\n<\/ul>\n<\/div><\/div><\/div><div class=\"le-verdict\"><strong>Slutsats: fungerar det att g\u00e5 ner i vikt med ChatGPT?<\/strong> Ibland av tur. Inte av metod: utan m\u00e4tning eller dagliga uppdateringar f\u00f6rblir svaret en populationsuppskattning som \u00e4r frusen fr\u00e5n f\u00f6rsta dagen. Testet kan g\u00f6ras om p\u00e5 fem minuter med din egen profil.<\/div><\/section>\n<section aria-labelledby=\"le-app-title\" class=\"le-section le-app\" id=\"le-app\"><header class=\"le-section-heading\"><span class=\"le-section-label\">05 \u00b7 Och Lean?<\/span><h2 id=\"le-app-title\">AI:n som m\u00e4ter kontra AI:n som gissar<\/h2><\/header>\n<p class=\"le-app-intro\">Lean anv\u00e4nder ocks\u00e5 AI, men f\u00f6r att m\u00e4ta: BodyScan f\u00f6r kroppsfett, fotoskanning f\u00f6r tallriken, stegr\u00e4knare f\u00f6r stegen. Sedan r\u00e4knar den om varje dag de fem komponenterna i din f\u00f6rbrukning och ritar kurvan.<\/p>\n<div class=\"le-app-panel\"><div class=\"le-feature-list\"><span class=\"le-feature le-feature-0\">BMR p\u00e5 uppm\u00e4tt fettfri massa<\/span><span class=\"le-feature le-feature-1\">NEAT p\u00e5 verkliga steg<\/span><span class=\"le-feature le-feature-2\">EAT per session<\/span><span class=\"le-feature le-feature-3\">TEF enligt makron<\/span><span class=\"le-feature le-feature-4\">Metabol anpassning<\/span><\/div><strong>Lean m\u00e4ter, r\u00e4knar om och f\u00f6ljer, varje dag<\/strong><span>F\u00f6rsta appen som ber\u00e4knar metabol anpassning. Gratis nedladdning, 7 dagars provperiod p\u00e5 \u00e5rsabonnemanget. 4,7\/5 p\u00e5 App Store, mer \u00e4n 10 000 anv\u00e4ndare.<\/span><p class=\"le-store-links\"><a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&amp;utm_medium=etude&amp;utm_campaign=chatgpt-calories\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger Lean sur l\\'App Store\" width=\"150\" height=\"50\" style=\"height:50px;width:auto;display:block;\"><\/a><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&amp;utm_source=seo&amp;utm_medium=etude&amp;utm_campaign=chatgpt-calories\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"T\u00e9l\u00e9charger Lean sur Google Play\" width=\"168\" height=\"50\" style=\"height:50px;width:auto;display:block;\"><\/a><\/p>\n<\/div><\/section>\n<section aria-labelledby=\"le-donnees-title\" class=\"le-section le-donnees\" id=\"le-donnees\"><header class=\"le-section-heading\"><span class=\"le-section-label\">Data<\/span><h2 id=\"le-donnees-title\">Datan, profil f\u00f6r profil<\/h2><\/header>\n<ul class=\"le-data-list\"><li class=\"le-data-record\" id=\"le-data-p1\"><h3 class=\"le-data-heading\"><strong>P1<\/strong> \u00b7 Man 32 \u00e5r, 78 kg, 180 cm, 12 % kroppsfett, 12 000 steg, 4 styrkepass\/vecka<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 500 till 2 700 kcal<\/strong> (28 svar) \u00b7 Fullst\u00e4ndig prompt: <strong>2 100 till 2 750 kcal<\/strong> (28 svar) \u00b7 M\u00e5l komponent f\u00f6r komponent: <strong>2 360 kcal<\/strong> (BMR 1 853, NEAT 504, EAT 267, TEF 236, TDEE 2 860)<\/div><\/li>\n<li class=\"le-data-record\" id=\"le-data-p2\"><h3 class=\"le-data-heading\"><strong>P2<\/strong> \u00b7 Man 32 \u00e5r, 78 kg, 180 cm, 28 % kroppsfett, 4 000 steg, ingen sport<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 500 till 2 760 kcal<\/strong> (28 svar) \u00b7 Fullst\u00e4ndig prompt: <strong>1 400 till 2 000 kcal<\/strong> (28 svar) \u00b7 M\u00e5l komponent f\u00f6r komponent: <strong>1 390 kcal<\/strong> (BMR 1 583, NEAT 168, EAT 0, TEF 139, TDEE 1 890)<\/div><\/li>\n<li class=\"le-data-record\" id=\"le-data-p3\"><h3 class=\"le-data-heading\"><strong>P3<\/strong> \u00b7 Kvinna 28 \u00e5r, 62 kg, 165 cm, 22 % kroppsfett, 9 000 steg, 3 fitnesspass\/vecka<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 130 till 2 000 kcal<\/strong> (25 svar) \u00b7 Fullst\u00e4ndig prompt: <strong>1 450 till 1 900 kcal<\/strong> (22 svar) \u00b7 M\u00e5l komponent f\u00f6r komponent: <strong>1 499 kcal<\/strong> (BMR 1 415, NEAT 275, EAT 159, TEF 150, TDEE 1 999)<\/div><\/li>\n<li class=\"le-data-record\" id=\"le-data-p4\"><h3 class=\"le-data-heading\"><strong>P4<\/strong> \u00b7 Kvinna 45 \u00e5r, 70 kg, 165 cm, 35 % kroppsfett, 3 500 steg, ingen sport<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 100 till 2 000 kcal<\/strong> (22 svar) \u00b7 Fullst\u00e4ndig prompt: <strong>1 200 till 1 600 kcal<\/strong> (22 svar) \u00b7 M\u00e5l komponent f\u00f6r komponent: <strong>1 082 kcal<\/strong> (BMR 1 353, NEAT 121, EAT 0, TEF 108, TDEE 1 582)<\/div><\/li>\n<li class=\"le-data-record\" id=\"le-data-p5\"><h3 class=\"le-data-heading\"><strong>P5<\/strong> \u00b7 Man 50 \u00e5r, 95 kg, 178 cm, 30 % kroppsfett, 6 000 steg, 2 promenader\/vecka<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 500 till 2 550 kcal<\/strong> (22 svar) \u00b7 Fullst\u00e4ndig prompt: <strong>1 600 till 2 200 kcal<\/strong> (22 svar) \u00b7 M\u00e5l komponent f\u00f6r komponent: <strong>1 918 kcal<\/strong> (BMR 1 806, NEAT 303, EAT 117, TEF 192, TDEE 2 418)<\/div><\/li>\n<li class=\"le-data-record\" id=\"le-data-p6\"><h3 class=\"le-data-heading\"><strong>P6<\/strong> \u00b7 Kvinna 24 \u00e5r, 55 kg, 170 cm, 18 % kroppsfett, 14 000 steg, 5 l\u00f6ppass\/vecka<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 200 till 2 200 kcal<\/strong> (16 svar) \u00b7 Fullst\u00e4ndig prompt: <strong>1 850 till 2 500 kcal<\/strong> (19 svar) \u00b7 Komponent f\u00f6r komponent-m\u00e5l: <strong>1 735 kcal<\/strong> (BMR 1 344, NEAT 391, EAT 326, TEF 174, TDEE 2 235)<\/div><\/li>\n<\/ul>\n<p class=\"le-data-note\">Variabilitet hos samma AI p\u00e5 samma upprepade prompt (fullst\u00e4ndig prompt, genomsnittlig skillnad mellan upprepningar): Claude Opus 73 kcal, Gemini 3.1 Pro 175 kcal, Gemini 3.7 Flash 57 kcal, ChatGPT (GPT-5.4 mini) 98 kcal, ChatGPT (GPT-5.5) 96 kcal.<\/p>\n<p class=\"le-data-note\">Fullst\u00e4ndigt dataset (prompter, 291 r\u00e5a svar, extraktion, skript): <a href=\"https:\/\/doi.org\/10.5281\/zenodo.22662006\" rel=\"noopener\">Zenodo, DOI 10.5281\/zenodo.22662006<\/a>, CC BY 4.0-licens.<\/p>\n<details class=\"le-disclosure\"><summary>Detaljerad metod och begr\u00e4nsningar<\/summary>\n<p>Modeller som fr\u00e5gades via API med standardparametrar och utan systeminstruktion: GPT-5.5 och GPT-5.4 mini (OpenAI), Gemini 3.7 Flash och Gemini 3.1 Pro (Google). Claude Opus (Anthropic) fr\u00e5gades via det officiella kommandoradsgr\u00e4nssnittet med en neutral systemprompt och utan n\u00e5got sammanhang. Sex profiler, tv\u00e5 promptniv\u00e5er, franska och engelska, 2 till 3 upprepningar per kombination, 291 svar insamlade den 8 september 2026 (Gemini 3.1 Pro: 27 svar, API-begr\u00e4nsad hastighet; \u00f6vriga modeller: 48 till 72).<\/p>\n<p>L\u00e4sning av svaren: en automatisk extraherare (GPT-5.4 mini, temperatur 0, strikt JSON-schema) identifierar det rekommenderade intagsm\u00e5let (min och max n\u00e4r ett intervall eller en tabell ges) och beteendena (fr\u00e5ga som st\u00e4lls innan svar, aktivitetsgrupp, faktisk anv\u00e4ndning av det angivna kroppsfettet och de angivna stegen, omn\u00e4mnande av metabol anpassning och den termiska effekten). Extraktionen publiceras med de r\u00e5a svaren, rad f\u00f6r rad.<\/p>\n<p>Begr\u00e4nsningar: fiktiva profiler; offentliga referensformler (Katch-McArdle p\u00e5 fettfri massa, Ainsworth 2011-kompendiet, TEF p\u00e5 10 %) som fungerar som riktm\u00e4rke, inte som sann markdata; modeller utvecklas och svar \u00e4ndras fr\u00e5n en vecka till n\u00e4sta, vilket ing\u00e5r i konstaterandet. Lean publicerar denna studie och s\u00e4ljer en app f\u00f6r uppf\u00f6ljning: metod och data \u00e4r \u00f6ppna s\u00e5 att vem som helst kan g\u00f6ra om den.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Vetenskapliga k\u00e4llor<\/summary>\n<ul><li>Mifflin MD et al. A new predictive equation for resting energy expenditure in healthy individuals. <em>Am J Clin Nutr<\/em>. 1990;51(2):241-7. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" rel=\"noopener\">PubMed 2305711<\/a><\/li>\n<li>Ainsworth BE et al. 2011 Compendium of Physical Activities. <em>Med Sci Sports Exerc<\/em>. 2011;43(8):1575-81. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21681120\/\" rel=\"noopener\">PubMed 21681120<\/a><\/li>\n<li>Levine JA et al. Interindividual variation in posture allocation. <em>Vetenskap<\/em>. 2005;307(5709):584-6. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15681386\/\" rel=\"noopener\">PubMed 15681386<\/a><\/li>\n<li>Trexler ET et al. Metabolic adaptation to weight loss: implications for the athlete. <em>J Int Soc Sports Nutr<\/em>. 2014;11:7. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24571926\/\" rel=\"noopener\">PubMed 24571926<\/a><\/li>\n<li>Westerterp KR. Diet induced thermogenesis. <em>Nutr Metab<\/em>. 2004;1:5. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15507147\/\" rel=\"noopener\">PubMed 15507147<\/a><\/li>\n<\/ul>\n<\/details>\n<p class=\"le-data-note\">Studie publicerad av Lean-teamet. Presskontakt: franckbarriere@lean-app.com. Inte medicinsk r\u00e5dgivning.<\/p>\n<\/section>\n<section aria-labelledby=\"le-faq-title\" class=\"le-section le-faq\" id=\"le-faq\"><header class=\"le-section-heading\"><h2 id=\"le-faq-title\">Vanliga fr\u00e5gor<\/h2><\/header>\n<details class=\"le-disclosure\"><summary>Kan ChatGPT ber\u00e4kna hur m\u00e5nga kalorier jag ska \u00e4ta?<\/summary>\n<p>Den ger ett tal, men ingen m\u00e4tning. Av 291 svar fr\u00e5gade ingen AI efter kroppsfett (en enda fr\u00e5gade efter antalet steg), och 97 % av svaren p\u00e5 den enkla prompten bygger p\u00e5 ett deklarativt aktivitetsn\u00e4t (stillasittande, m\u00e5ttlig, aktiv). Resultatet \u00e4r ett statistiskt genomsnitt som ignorerar din kroppssammans\u00e4ttning och din verkliga aktivitet, med upp till 1 260 kcal skillnad f\u00f6r samma person.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Varf\u00f6r ger AI:er s\u00e5 olika siffror f\u00f6r samma profil?<\/summary>\n<p>F\u00f6r att de inte har n\u00e5gon m\u00e4tning. De till\u00e4mpar en populationsformel (oftast Mifflin-St Jeor 1990) och sedan en aktivitetsmultiplikator vald p\u00e5 m\u00e5f\u00e5. Tv\u00e5 m\u00e4n p\u00e5 78 kg, den ena med 12 % kroppsfett och 12 000 steg, den andra med 28 % och 4 000 steg, f\u00e5r samma svar p\u00e5 den enkla prompten, trots att deras verkliga f\u00f6rbrukning skiljer sig med n\u00e4stan 1 000 kcal.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Hj\u00e4lper det att ge ChatGPT fler detaljer?<\/summary>\n<p>Bara delvis. Med kroppsfett, steg och pass i prompten \u00e4r gapet mellan AI:er fortfarande 650 kcal f\u00f6r samma profil, kroppsfett anv\u00e4nds faktiskt i ber\u00e4kningen i bara 40 % av svaren och steg i 42 %. Och framf\u00f6r allt \u00e4r svaret statiskt: den vet inte hur mycket du har g\u00e5tt eller \u00e4tit i dag, eller hur din metabolism anpassar sig \u00f6ver veckorna.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Vad \u00e4r metabol anpassning och varf\u00f6r \u00e4ndrar det svaret?<\/summary>\n<p>Vid ett l\u00e5ngvarigt underskott sjunker basalmetabolismen mer \u00e4n vad viktminskningen f\u00f6rklarar. En siffra som \u00e4r r\u00e4tt i dag blir f\u00f6r h\u00f6g efter n\u00e5gra veckor. Endast 14 % av de detaljerade svaren n\u00e4mnde det, och ingen ber\u00e4knar det. Det \u00e4r den vanligaste orsaken till plat\u00e5er.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Hur ber\u00e4knar man sina kalorier korrekt f\u00f6r att g\u00e5 ner i vikt?<\/summary>\n<p>Genom att bygga upp f\u00f6rbrukningen komponent f\u00f6r komponent, TDEE = BMR + NEAT + EAT + TEF, med basalmetabolismen ber\u00e4knad p\u00e5 verklig fettfri massa, NEAT p\u00e5 uppm\u00e4tta steg, EAT p\u00e5 faktiskt genomf\u00f6rda pass, TEF p\u00e5 intagna makron, och sedan f\u00f6lja utvecklingen dag f\u00f6r dag och justera n\u00e4r kroppen anpassar sig. Det \u00e4r en uppf\u00f6ljning, inte ett svar i en mening.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>\u00c4r AI v\u00e4rdel\u00f6s f\u00f6r nutrition?<\/summary>\n<p>Nej. AI \u00e4r v\u00e4rdefull n\u00e4r den m\u00e4ter: uppskatta kroppsfett fr\u00e5n ett foto, k\u00e4nna igen en r\u00e4tt, l\u00e4sa en streckkod. Den \u00e4r svag n\u00e4r den gissar utifr\u00e5n tre siffror. Skillnaden \u00e4r mellan en AI kopplad till kontinuerligt uppdaterade m\u00e4tningar och en chatbot som svarar en fr\u00e4mling ur minnet.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Kan jag reproducera studien?<\/summary>\n<p>Ja. De 12 promptarna, de tidsst\u00e4mplade r\u00e5svaren, den strukturerade extraktionen och skripten publiceras som \u00f6ppna data (l\u00e4nk l\u00e4ngst ner p\u00e5 sidan). Varje anrop \u00e4r en ny konversation, utan systeminstruktion, med standardinst\u00e4llningar.<\/p>\n<\/details>\n<\/section>\n<section aria-labelledby=\"le-suite-title\" class=\"le-section le-suite\" id=\"le-suite\"><header class=\"le-section-heading\"><h2 id=\"le-suite-title\">L\u00e4s ocks\u00e5<\/h2><\/header>\n<ul class=\"le-related\"><li><a href=\"https:\/\/lean-app.com\/sv\/calculateur-tdee\/\">TDEE-kalkylator: den kanoniska formeln BMR + NEAT + EAT + TEF <span>Fettprocentmedveten kalkylator med uppdelning av de 4 metabola byggstenarna.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/sv\/calculer-vraie-depense-calorique\/\">S\u00e5 ber\u00e4knar du din verkliga kalorif\u00f6rbrukning: den kompletta guiden <span>BMR p\u00e5 verklig fettprocent, NEAT per steg, EAT per pass, TEF per makron, anpassning.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/sv\/calculateur-adaptation-metabolique\/\">Kalkylator f\u00f6r metabol anpassning: har din \u00e4mnesoms\u00e4ttning saktat ner? <span>Koefficient 100 till 0 %, anpassad BMR i kcal\/dag, och n\u00e4r du b\u00f6r ta en diet break.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/sv\/10000-pas-calories\/\">10 000 steg om dagen: hur m\u00e5nga kalorier det verkligen f\u00f6rbr\u00e4nner <span>Mellan 300 och 550 kcal efter vikt. Tabell per profil, offentlig formel, kalkylator.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/sv\/etude-base-donnees-calories\/\">Studie: 857 655 analyserade produkter, 1 av 3 skanningar op\u00e5litlig <span>Kvaliteten p\u00e5 kaloridatabaser, m\u00e4tt.<\/span><\/a><\/li>\n<\/ul>\n<\/section>\n<script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"ChatGPT peut-il calculer combien de calories je dois manger ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Il donne un chiffre, mais pas une mesure. Sur 291 r\u00e9ponses, aucune IA n'a demand\u00e9 la masse grasse (une seule a demand\u00e9 le nombre de pas), et 97 % des r\u00e9ponses au prompt simple reposent sur une grille d'activit\u00e9 d\u00e9clarative (s\u00e9dentaire, mod\u00e9r\u00e9, actif). Le r\u00e9sultat est une moyenne statistique qui ignore ta composition corporelle et ton activit\u00e9 r\u00e9elle, avec jusqu'\u00e0 1 260 kcal d'\u00e9cart pour la m\u00eame personne.\"}}, {\"@type\": \"Question\", \"name\": \"Pourquoi les IA donnent-elles des chiffres si diff\u00e9rents pour le m\u00eame profil ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Parce qu'elles n'ont pas de mesure. Elles appliquent une formule de population (Mifflin-St Jeor 1990 le plus souvent) puis un multiplicateur d'activit\u00e9 choisi au jug\u00e9. Deux hommes de 78 kg, l'un \u00e0 12 % de masse grasse et 12 000 pas, l'autre \u00e0 28 % et 4 000 pas, re\u00e7oivent la m\u00eame r\u00e9ponse au prompt simple, alors que leur d\u00e9pense r\u00e9elle diff\u00e8re de pr\u00e8s de 1 000 kcal.\"}}, {\"@type\": \"Question\", \"name\": \"Est-ce que donner plus de d\u00e9tails \u00e0 ChatGPT corrige le probl\u00e8me ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"En partie seulement. Avec la masse grasse, les pas et les s\u00e9ances dans le prompt, l'\u00e9cart entre IA reste de 650 kcal sur un m\u00eame profil, la masse grasse n'est r\u00e9ellement utilis\u00e9e dans le calcul que dans 40 % des r\u00e9ponses et les pas dans 42 %. Et surtout, la r\u00e9ponse est fig\u00e9e : elle ne sait pas ce que tu as march\u00e9 ni mang\u00e9 aujourd'hui, ni comment ton m\u00e9tabolisme s'adapte au fil des semaines.\"}}, {\"@type\": \"Question\", \"name\": \"Qu'est-ce que l'adaptation m\u00e9tabolique et pourquoi \u00e7a change la r\u00e9ponse ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"En d\u00e9ficit prolong\u00e9, le m\u00e9tabolisme de base baisse au-del\u00e0 de ce que la perte de poids explique. Un chiffre juste aujourd'hui devient trop haut au bout de quelques semaines. Seules 14 % des r\u00e9ponses d\u00e9taill\u00e9es l'ont mentionn\u00e9, et aucune ne la calcule. C'est la cause la plus fr\u00e9quente des plateaux.\"}}, {\"@type\": \"Question\", \"name\": \"Comment calculer correctement ses calories pour maigrir ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"En reconstruisant la d\u00e9pense brique par brique, TDEE = BMR + NEAT + EAT + TEF, avec le m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre r\u00e9elle, la NEAT sur les pas mesur\u00e9s, l'EAT sur les s\u00e9ances r\u00e9ellement faites, le TEF sur les macros ing\u00e9r\u00e9s, puis en suivant l'\u00e9volution jour apr\u00e8s jour et en corrigeant quand le corps s'adapte. C'est un suivi, pas une r\u00e9ponse en une phrase.\"}}, {\"@type\": \"Question\", \"name\": \"L'IA est-elle inutile pour la nutrition ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Non. L'IA est pr\u00e9cieuse quand elle mesure : estimer une masse grasse sur une photo, reconna\u00eetre un plat, lire un code-barres. Elle est faible quand elle devine \u00e0 partir de trois chiffres. La diff\u00e9rence est entre une IA branch\u00e9e sur des mesures mises \u00e0 jour en continu et un chatbot qui r\u00e9pond de m\u00e9moire \u00e0 un inconnu.\"}}, {\"@type\": \"Question\", \"name\": \"Puis-je reproduire l'\u00e9tude ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Oui. Les 12 prompts, les r\u00e9ponses brutes horodat\u00e9es, l'extraction structur\u00e9e et les scripts sont publi\u00e9s en donn\u00e9es ouvertes (lien en bas de page). Chaque appel est une conversation neuve, sans instruction syst\u00e8me, avec les param\u00e8tres par d\u00e9faut.\"}}]}<\/script><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"Dataset\", \"name\": \"Asking consumer AI assistants how many calories to eat to lose weight: 5 models, 6 profiles, 291 answers\", \"description\": \"On a demand\u00e9 291 fois \u00e0 ChatGPT, Gemini et Claude combien manger pour maigrir, pour 6 profils identiques. Aucune IA ne demande la masse grasse ni les pas, 97 % r\u00e9pondent par une grille d'activit\u00e9, et le m\u00eame profil re\u00e7oit jusqu'\u00e0 1260 kcal d'\u00e9cart. 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M\u00e9thode, donn\u00e9es brutes et ce qu&rsquo;il faudrait faire \u00e0 la place.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2163","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu&#039;\u00e0 1 260 kcal d&#039;\u00e9cart - Lean<\/title>\n<meta name=\"description\" content=\"On a demand\u00e9 291 fois \u00e0 ChatGPT, Gemini et Claude combien manger pour maigrir, pour 6 profils identiques. 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