{"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\/pt\/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\/pt\/\" aria-label=\"In\u00edcio Lean\"><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\/pt\/tdee-calculator\/\">Calculadora TDEE<\/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=\"Baixar na 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=\"Dispon\u00edvel no 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; 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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\">Estudo \u00b7 Perder peso com a IA<\/p>\n<h1 id=\"le-title\"><span class=\"le-title-line\">Perder peso<\/span> <span class=\"le-title-line\">com ChatGPT,<\/span> <span class=\"le-title-accent\">funciona?<\/span> <span class=\"le-title-follow\">Fizemos a pergunta 291 vezes a 5 IAs<\/span><\/h1><p class=\"le-deck\">Mesma pessoa, mesma pergunta, at\u00e9 1 260 kcal de diferen\u00e7a. Aqui est\u00e1 o que as IAs respondem, e o que elas n\u00e3o podem fazer.<\/p>\n<div class=\"le-hero-actions\" data-visual-copy=\"\"><a class=\"le-explore\" href=\"#le-resume\">Explorar o estudo<\/a><span class=\"le-scroll-cue\">\u2193<\/span><\/div><p class=\"le-byline\">Estudo independente da A equipe Lean, o app que recalcula seu gasto todos os dias com base nas suas medi\u00e7\u00f5es \u00b7 9 de setembro de 2026 \u00b7 Dados abertos<\/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 Prompt simples<\/span><div class=\"le-answer le-answer-0\" style=\"--order:0\"><span class=\"le-answer-name\">ChatGPT (GPT-5.5)<\/span><strong>1 600 a 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 a 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 a 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 a 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 a 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>de diferen\u00e7a para o mesmo perfil, prompt simples<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>0 %<\/strong><span>pedem a gordura corporal<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>97 %<\/strong><span>respondem com uma grade &ldquo;sedent\u00e1rio \/ ativo&rdquo;<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>14 %<\/strong><span>falam de adapta\u00e7\u00e3o metab\u00f3lica<\/span><\/li>\n<\/ul>\n<\/section>\n<nav aria-label=\"Neste estudo\" class=\"le-nav\"><a href=\"#le-resume\">Resumo<\/a><a href=\"#le-simple\">Resultados<\/a><a href=\"#le-suivi\">A verdadeira quest\u00e3o<\/a><a href=\"#le-donnees\">Dados<\/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\">Resumo<\/span><h2 id=\"le-resume-title\">O estudo em 30 segundos<\/h2><\/header>\n<ul class=\"le-summary-list\"><li><span class=\"le-summary-num\">1<\/span><span class=\"le-summary-text\"><strong>291 respostas<\/strong> de ChatGPT, Gemini e Claude \u00e0 pergunta &ldquo;quantas calorias para emagrecer?&rdquo;, para 6 perfis id\u00eanticos.<\/span><\/li>\n<li><span class=\"le-summary-num\">2<\/span><span class=\"le-summary-text\">Prompt simples (idade, peso, altura): a mesma pessoa recebe <strong>de 1 500 a 2 700 kcal<\/strong> dependendo da IA e do momento.<\/span><\/li>\n<li><span class=\"le-summary-num\">3<\/span><span class=\"le-summary-text\"><strong>0 %<\/strong> das respostas pedem a gordura corporal. <strong>97 %<\/strong> retornam uma grade \u00ab sedent\u00e1rio \/ moderado \/ ativo \u00bb, a f\u00f3rmula de 1990.<\/span><\/li>\n<li><span class=\"le-summary-num\">4<\/span><span class=\"le-summary-text\">Prompt completo (gordura corporal, passos, sess\u00f5es): ainda <strong>650 kcal<\/strong> de diferen\u00e7a, e a gordura corporal s\u00f3 \u00e9 usada em <strong>40 %<\/strong> dos c\u00e1lculos.<\/span><\/li>\n<li><span class=\"le-summary-num\">5<\/span><span class=\"le-summary-text\">Nenhuma IA acompanha no dia seguinte: passos do dia, refei\u00e7\u00f5es, efeito t\u00e9rmico, adapta\u00e7\u00e3o metab\u00f3lica (<strong>14 %<\/strong> as mencionam). O n\u00famero fica fixo no dia 1.<\/span><\/li>\n<\/ul>\n<div class=\"le-summary-verdict\"><strong>Veredito.<\/strong> Pode funcionar por sorte, n\u00e3o por m\u00e9todo: sem medi\u00e7\u00e3o nem atualiza\u00e7\u00e3o di\u00e1ria, a resposta \u00e9 uma m\u00e9dia populacional fixada no primeiro dia.<\/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 M\u00e9todo<\/span><h2 id=\"le-methode-title\">O que fizemos<\/h2><\/header>\n<ul class=\"le-method-stats\"><li><strong>6<\/strong><span>perfis id\u00eanticos, da esportista ao homem sedent\u00e1rio<\/span><\/li>\n<li><strong>2<\/strong><span>n\u00edveis de prompt: simples, depois completo<\/span><\/li>\n<li><strong>5<\/strong><span>IAs de uso geral, conversa nova a cada vez<\/span><\/li>\n<li><strong>291<\/strong><span>respostas com data e hora, publicadas em dados abertos<\/span><\/li>\n<\/ul>\n<p class=\"le-method-note\">ChatGPT (GPT-5.5 e GPT-5.4 mini), Gemini (3.7 Flash e 3.1 Pro), Claude Opus. Franc\u00eas e ingl\u00eas, 2 a 3 repeti\u00e7\u00f5es, sem nenhuma instru\u00e7\u00e3o. A linha preta dos gr\u00e1ficos: a meta calculada componente por componente com base nos dados medidos (BMR sobre massa magra, passos, sess\u00f5es, TEF, d\u00e9ficit de 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 Resultado 1<\/span><h2 id=\"le-simple-title\">Prompt simples: de 1 500 a 2 700 kcal para a mesma pessoa<\/h2><\/header>\n<p class=\"le-result-intro\">&ldquo;Sou um homem de 32 anos, 78 kg, 180 cm, quero perder peso, quantas calorias por dia?&rdquo; A pergunta como milh\u00f5es de pessoas a fazem.<\/p>\n<div class=\"le-chart-controls\" data-controls=\"simple\" hidden=\"\"><div aria-label=\"Perfis, prompt simples\" 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\">Mostrar tudo<\/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\">Homem, 32 anos, 78 kg, 180 cm, 12 % de gordura corporal, 12 000 passos, 4 treinos de muscula\u00e7\u00e3o\/sem<\/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 a 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 a 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 a 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 a 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 a 2 600<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">1 500 a 2 700 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">1 200 kcal de diferen\u00e7a<\/strong> (28 respostas). Linha preta: meta obtida componente por componente com base nos dados medidos (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\">Homem, 32 anos, 78 kg, 180 cm, 28 % de gordura corporal, 4 000 passos, nenhum esporte<\/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 a 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 a 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 a 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 a 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 a 2 500<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">1 500 a 2 760 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">1 260 kcal de diferen\u00e7a<\/strong> (28 respostas). Linha preta: meta obtida componente por componente com base nos dados medidos (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\">Mulher, 28 anos, 62 kg, 165 cm, 22 % de gordura corporal, 9 000 passos, 3 treinos de fitness\/sem<\/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 a 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 a 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 a 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 a 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 a 1 900<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">1 130 a 2 000 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">870 kcal de diferen\u00e7a<\/strong> (25 respostas). Linha preta: meta obtida componente por componente com base nos dados medidos (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\">Mulher, 45 anos, 70 kg, 165 cm, 35 % de gordura corporal, 3 500 passos, nenhum esporte<\/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 a 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 a 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 a 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 a 1 800<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">1 100 a 2 000 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">900 kcal de diferen\u00e7a<\/strong> (22 respostas). Linha preta: meta obtida componente por componente com base nos dados medidos (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\">Homem, 50 anos, 95 kg, 178 cm, 30 % de gordura corporal, 6 000 passos, 2 caminhadas\/sem<\/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 a 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 a 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 a 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 a 2 300<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">1 500 a 2 550 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">1 050 kcal de diferen\u00e7a<\/strong> (22 respostas). Linha preta: meta obtida componente por componente com base nos dados medidos (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\">Mulher, 24 anos, 55 kg, 170 cm, 18 % de gordura corporal, 14 000 passos, 5 corridas\/sem<\/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 a 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 a 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 a 2 200<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">1 200 a 2 200 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">1 000 kcal de diferen\u00e7a<\/strong> (16 respostas). Linha preta: meta obtida componente por componente com base nos dados medidos (1 735 kcal).<\/figcaption>\n<\/figure>\n<\/div><div class=\"le-behavior\"><h3 class=\"le-behavior-title\">Comportamento das IAs, prompt simples (147 respostas)<\/h3><ul class=\"le-behavior-list\"><li data-percent=\"0\" style=\"--percent:0%\"><strong>0 %<\/strong><span>pedem o percentual de gordura corporal<\/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>pedem o n\u00famero de passos di\u00e1rios<\/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>usam uma grade de atividade declarativa<\/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>citam Mifflin-St Jeor ou 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>mencionam o efeito t\u00e9rmico dos alimentos<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-insight\">P1 e P2 fizeram <strong>exatamente a mesma pergunta<\/strong> (mesma idade, peso, altura) e receberam a mesma grade. No entanto, o gasto real deles difere em quase 1 000 kcal por dia: 12 % de gordura corporal e 12 000 passos de um lado, 28 % e 4 000 passos do outro.<\/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 Resultado 2<\/span><h2 id=\"le-complet-title\">Prompt completo: ainda 650 kcal de diferen\u00e7a<\/h2><\/header>\n<p class=\"le-result-intro\">Damos tudo: gordura corporal, passos por dia, sess\u00f5es, e &ldquo;me d\u00ea um n\u00famero preciso&rdquo;. Todas obedecem. Um n\u00famero preciso n\u00e3o \u00e9 um n\u00famero certo.<\/p>\n<div class=\"le-chart-controls\" data-controls=\"complet\" hidden=\"\"><div aria-label=\"Perfis, prompt completo\" 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\">Mostrar tudo<\/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\">Homem, 32 anos, 78 kg, 180 cm, 12 % de gordura corporal, 12 000 passos, 4 treinos de muscula\u00e7\u00e3o\/sem<\/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 a 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 a 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 a 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 a 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 a 2 450<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">2 100 a 2 750 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">650 kcal de diferen\u00e7a<\/strong> (28 respostas). Linha preta: meta obtida componente por componente com base nos dados medidos (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\">Homem, 32 anos, 78 kg, 180 cm, 28 % de gordura corporal, 4 000 passos, nenhum esporte<\/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 a 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 a 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 a 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 a 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 a 1 950<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">1 400 a 2 000 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">600 kcal de diferen\u00e7a<\/strong> (28 respostas). Linha preta: meta obtida componente por componente com base nos dados medidos (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\">Mulher, 28 anos, 62 kg, 165 cm, 22 % de gordura corporal, 9 000 passos, 3 treinos de fitness\/sem<\/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 a 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 a 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 a 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 a 1 900<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">1 450 a 1 900 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">450 kcal de diferen\u00e7a<\/strong> (22 respostas). Linha preta: alvo calculado componente por componente com base nos dados medidos (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\">Mulher, 45 anos, 70 kg, 165 cm, 35 % de gordura corporal, 3 500 passos, nenhum esporte<\/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 a 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 a 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 a 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 a 1 600<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">1 200 a 1 600 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">400 kcal de diferen\u00e7a<\/strong> (22 respostas). Linha preta: meta obtida componente por componente com base nos dados medidos (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\">Homem, 50 anos, 95 kg, 178 cm, 30 % de gordura corporal, 6 000 passos, 2 caminhadas\/sem<\/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 a 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 a 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 a 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 a 2 100<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">1 600 a 2 200 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">600 kcal de diferen\u00e7a<\/strong> (22 respostas). Linha preta: meta obtida componente por componente com base nos dados medidos (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\">Mulher, 24 anos, 55 kg, 170 cm, 18 % de gordura corporal, 14 000 passos, 5 corridas\/sem<\/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 a 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 a 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 a 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 a 2 400<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Todas as IAs combinadas: <strong class=\"le-caption-range\">1 850 a 2 500 kcal<\/strong>, ou seja <strong class=\"le-caption-gap\">650 kcal de diferen\u00e7a<\/strong> (19 respostas). Linha preta: alvo calculado componente por componente com base nos dados medidos (1 735 kcal).<\/figcaption>\n<\/figure>\n<\/div><div class=\"le-behavior\"><h3 class=\"le-behavior-title\">Comportamento das IAs, prompt completo (144 respostas)<\/h3><ul class=\"le-behavior-list\"><li data-percent=\"40\" style=\"--percent:40%\"><strong>40 %<\/strong><span>usam de fato a gordura corporal fornecida<\/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>convertem os passos fornecidos em calorias<\/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>mencionam a adapta\u00e7\u00e3o metab\u00f3lica<\/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>mencionam o efeito t\u00e9rmico dos alimentos<\/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>d\u00e3o um n\u00famero \u00fanico, como pedido<\/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\">O teste P1 contra P2: mesmo peso, corpos diferentes<\/h3><ul class=\"le-comparison-stats\"><li><strong>699 <small>kcal<\/small><\/strong><span>de diferen\u00e7a entre P1 e P2 segundo as IAs (m\u00e9dia)<\/span><\/li>\n<li><strong>970 <small>kcal<\/small><\/strong><span>de diferen\u00e7a quando calculado componente por componente<\/span><\/li>\n<li><strong>+324 <small>kcal<\/small><\/strong><span>a mais para o perfil sedent\u00e1rio com 28 % de gordura corporal<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-insight\">As IAs veem a diferen\u00e7a entre os dois homens, mas a subestimam: elas ajustam uma f\u00f3rmula populacional em vez de medir. O perfil sedent\u00e1rio, aquele que \u00abfaz tudo certo\u00bb, recebe uma meta alta demais e n\u00e3o perde nada.<\/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 O verdadeiro assunto<\/span><h2 id=\"le-suivi-title\">O problema n\u00e3o \u00e9 o dia 1, s\u00e3o os <span class=\"le-time-headline\">89 dias seguintes<\/span><\/h2><\/header>\n<p class=\"le-time-intro\">78 % das respostas detalhadas aconselham a \u00abse pesar e ajustar\u00bb. Nenhuma faz isso por voc\u00ea.<\/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=\"\">Dia<\/span><span class=\"le-dial-day\" data-current-day=\"\">1<\/span><\/div><span class=\"le-dial-caption\">O n\u00famero fica fixo no dia 1.<\/span><\/div><ul class=\"le-timeline\"><li><strong><span>Dia<\/span> <b>1<\/b><\/strong><span>O chatbot recebe um peso e responde uma vez.<\/span><\/li>\n<li><strong><span>Dia<\/span> <b>2<\/b><\/strong><span>Voc\u00ea caminhou 4 000 passos em vez de 11 000. Ele n\u00e3o sabe.<\/span><\/li>\n<li><strong><span>Semana<\/span> <b>3<\/b><\/strong><span>Voc\u00ea fez 6 sess\u00f5es e mudou seus macros. Ele n\u00e3o sabe.<\/span><\/li>\n<li><strong><span>Dia<\/span> <b>90<\/b><\/strong><span>Voc\u00ea perdeu 4 kg, seu metabolismo caiu e depois se adaptou. Ele ainda n\u00e3o sabe.<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-checklists\"><div class=\"le-checklist le-checklist-no\"><h3>O que o chatbot n\u00e3o sabe<\/h3><ul><li><span>\u2715<\/span><span>Seus passos do dia<\/span><\/li>\n<li><span>\u2715<\/span><span>Suas refei\u00e7\u00f5es do dia e seu efeito t\u00e9rmico<\/span><\/li>\n<li><span>\u2715<\/span><span>Sua gordura corporal real, e sua evolu\u00e7\u00e3o<\/span><\/li>\n<li><span>\u2715<\/span><span>A adapta\u00e7\u00e3o do seu metabolismo ao longo das semanas<\/span><\/li>\n<li><span>\u2715<\/span><span>Nenhuma curva, nenhum gr\u00e1fico do seu gasto<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-checklist le-checklist-yes\"><h3>O que um acompanhamento real exige<\/h3><ul><li><span>\u2713<\/span><span>Gasto recalculado todos os dias com base em medi\u00e7\u00f5es<\/span><\/li>\n<li><span>\u2713<\/span><span>Meta que muda com os passos e as sess\u00f5es<\/span><\/li>\n<li><span>\u2713<\/span><span>Gordura corporal remensurada regularmente<\/span><\/li>\n<li><span>\u2713<\/span><span>Corre\u00e7\u00e3o autom\u00e1tica da adapta\u00e7\u00e3o metab\u00f3lica<\/span><\/li>\n<li><span>\u2713<\/span><span>Uma curva leg\u00edvel do seu TDEE e de sua evolu\u00e7\u00e3o<\/span><\/li>\n<\/ul>\n<\/div><\/div><\/div><div class=\"le-verdict\"><strong>Veredito: perder peso com ChatGPT, funciona?<\/strong> Por sorte, \u00e0s vezes. Por m\u00e9todo, n\u00e3o: sem medi\u00e7\u00e3o nem atualiza\u00e7\u00e3o di\u00e1ria, a resposta continua sendo uma estimativa populacional congelada no primeiro dia. O teste pode ser refeito em cinco minutos com seu pr\u00f3prio perfil.<\/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 E Lean?<\/span><h2 id=\"le-app-title\">A IA que mede versus a IA que adivinha<\/h2><\/header>\n<p class=\"le-app-intro\">A Lean tamb\u00e9m usa IA, mas para medir: BodyScan para a gordura corporal, scan de foto para o prato, ped\u00f4metro para os passos. Depois ela recalcula todos os dias os cinco componentes do seu gasto e tra\u00e7a a curva.<\/p>\n<div class=\"le-app-panel\"><div class=\"le-feature-list\"><span class=\"le-feature le-feature-0\">BMR sobre massa magra medida<\/span><span class=\"le-feature le-feature-1\">NEAT sobre passos reais<\/span><span class=\"le-feature le-feature-2\">EAT por sess\u00e3o<\/span><span class=\"le-feature le-feature-3\">TEF segundo os macros<\/span><span class=\"le-feature le-feature-4\">Adapta\u00e7\u00e3o metab\u00f3lica<\/span><\/div><strong>Lean mede, recalcula e acompanha, todos os dias<\/strong><span>Primeiro app a calcular a adapta\u00e7\u00e3o metab\u00f3lica. Download gratuito, teste gr\u00e1tis de 7 dias na assinatura anual. 4,7\/5 na App Store, mais de 10 000 usu\u00e1rios.<\/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\">Dados<\/span><h2 id=\"le-donnees-title\">Os dados, perfil por perfil<\/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 Homem, 32 anos, 78 kg, 180 cm, 12 % gordura corporal, 12 000 passos, 4 muscula\u00e7\u00e3o\/sem<\/h3><div class=\"le-data-values\">Prompt simples: <strong>1 500 a 2 700 kcal<\/strong> (28 respostas) \u00b7 Prompt completo: <strong>2 100 a 2 750 kcal<\/strong> (28 respostas) \u00b7 Alvo componente por componente: <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 Homem, 32 anos, 78 kg, 180 cm, 28 % gordura corporal, 4 000 passos, nenhum esporte<\/h3><div class=\"le-data-values\">Prompt simples: <strong>1 500 a 2 760 kcal<\/strong> (28 respostas) \u00b7 Prompt completo: <strong>1 400 a 2 000 kcal<\/strong> (28 respostas) \u00b7 Alvo componente por componente: <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 Mulher, 28 anos, 62 kg, 165 cm, 22 % gordura corporal, 9 000 passos, 3 fitness\/sem<\/h3><div class=\"le-data-values\">Prompt simples: <strong>1 130 a 2 000 kcal<\/strong> (25 respostas) \u00b7 Prompt completo: <strong>1 450 a 1 900 kcal<\/strong> (22 respostas) \u00b7 Alvo componente por componente: <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 Mulher, 45 anos, 70 kg, 165 cm, 35 % gordura corporal, 3 500 passos, nenhum esporte<\/h3><div class=\"le-data-values\">Prompt simples: <strong>1 100 a 2 000 kcal<\/strong> (22 respostas) \u00b7 Prompt completo: <strong>1 200 a 1 600 kcal<\/strong> (22 respostas) \u00b7 Alvo componente por componente: <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 Homem, 50 anos, 95 kg, 178 cm, 30 % gordura corporal, 6 000 passos, 2 caminhadas\/sem<\/h3><div class=\"le-data-values\">Prompt simples: <strong>1 500 a 2 550 kcal<\/strong> (22 respostas) \u00b7 Prompt completo: <strong>1 600 a 2 200 kcal<\/strong> (22 respostas) \u00b7 Alvo componente por componente: <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 Mulher, 24 anos, 55 kg, 170 cm, 18 % de gordura corporal, 14 000 passos, 5 corridas\/sem<\/h3><div class=\"le-data-values\">Prompt simples: <strong>1 200 a 2 200 kcal<\/strong> (16 respostas) \u00b7 Prompt completo: <strong>1 850 a 2 500 kcal<\/strong> (19 respostas) \u00b7 Meta componente por componente: <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\">Variabilidade da mesma IA no mesmo prompt repetido (prompt completo, diferen\u00e7a m\u00e9dia entre repeti\u00e7\u00f5es): 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\">Conjunto de dados completo (prompts, 291 respostas brutas, extra\u00e7\u00e3o, scripts): <a href=\"https:\/\/doi.org\/10.5281\/zenodo.22662006\" rel=\"noopener\">Zenodo, DOI 10.5281\/zenodo.22662006<\/a>, licen\u00e7a CC BY 4.0.<\/p>\n<details class=\"le-disclosure\"><summary>M\u00e9todo detalhado e limita\u00e7\u00f5es<\/summary>\n<p>Modelos consultados por API com os par\u00e2metros padr\u00e3o e sem instru\u00e7\u00e3o de sistema: GPT-5.5 e GPT-5.4 mini (OpenAI), Gemini 3.7 Flash e Gemini 3.1 Pro (Google). Claude Opus (Anthropic) consultado pela interface oficial de linha de comando com um prompt de sistema neutro e sem nenhum contexto. Seis perfis, dois n\u00edveis de prompt, franc\u00eas e ingl\u00eas, 2 a 3 repeti\u00e7\u00f5es por combina\u00e7\u00e3o, 291 respostas coletadas em 8 de setembro de 2026 (Gemini 3.1 Pro: 27 respostas, limite de taxa da API; outros modelos: 48 a 72).<\/p>\n<p>Leitura das respostas: um extrator autom\u00e1tico (GPT-5.4 mini, temperatura 0, esquema JSON estrito) identifica a meta de ingest\u00e3o recomendada (m\u00edn e m\u00e1x quando uma faixa ou uma grade \u00e9 dada) e os comportamentos (pergunta feita antes de responder, grade de atividade, uso real da gordura corporal e dos passos fornecidos, men\u00e7\u00e3o da adapta\u00e7\u00e3o metab\u00f3lica e do efeito t\u00e9rmico). A extra\u00e7\u00e3o \u00e9 publicada com as respostas brutas, linha por linha.<\/p>\n<p>Limita\u00e7\u00f5es: perfis fict\u00edcios; f\u00f3rmulas de refer\u00eancia p\u00fablicas (Katch-McArdle sobre massa magra, comp\u00eandio de Ainsworth 2011, TEF a 10 %) que servem de refer\u00eancia, n\u00e3o de verdade de campo; os modelos evoluem e as respostas mudam de uma semana para a outra, o que faz parte do achado. A Lean edita este estudo e vende um aplicativo de acompanhamento: m\u00e9todo e dados s\u00e3o abertos para que qualquer pessoa possa refaz\u00ea-lo.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Fontes cient\u00edficas<\/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>Science<\/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\">Estudo publicado pela A equipe Lean. Contato de imprensa: franckbarriere@lean-app.com. N\u00e3o \u00e9 aconselhamento m\u00e9dico.<\/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\">Perguntas frequentes<\/h2><\/header>\n<details class=\"le-disclosure\"><summary>ChatGPT pode calcular quantas calorias eu devo comer?<\/summary>\n<p>Ele d\u00e1 um n\u00famero, mas n\u00e3o uma medida. Em 291 respostas, nenhuma IA pediu a gordura corporal (apenas uma pediu o n\u00famero de passos), e 97 % das respostas ao prompt simples se baseiam em uma grade de atividade declarativa (sedent\u00e1rio, moderado, ativo). O resultado \u00e9 uma m\u00e9dia estat\u00edstica que ignora sua composi\u00e7\u00e3o corporal e sua atividade real, com at\u00e9 1 260 kcal de diferen\u00e7a para a mesma pessoa.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Por que as IAs d\u00e3o n\u00fameros t\u00e3o diferentes para o mesmo perfil?<\/summary>\n<p>Porque elas n\u00e3o t\u00eam medida. Elas aplicam uma f\u00f3rmula populacional (Mifflin-St Jeor 1990 na maioria das vezes) e depois um multiplicador de atividade escolhido no chute. Dois homens de 78 kg, um com 12 % de gordura corporal e 12 000 passos, o outro com 28 % e 4 000 passos, recebem a mesma resposta ao prompt simples, embora seu gasto real difira em quase 1 000 kcal.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Dar mais detalhes ao ChatGPT corrige o problema?<\/summary>\n<p>S\u00f3 em parte. Com a gordura corporal, os passos e as sess\u00f5es no prompt, a diferen\u00e7a entre IAs continua em 650 kcal para um mesmo perfil, a gordura corporal \u00e9 realmente usada no c\u00e1lculo em apenas 40 % das respostas e os passos em 42 %. E, acima de tudo, a resposta \u00e9 fixa: ela n\u00e3o sabe quanto voc\u00ea andou ou comeu hoje, nem como seu metabolismo se adapta ao longo das semanas.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>O que \u00e9 a adapta\u00e7\u00e3o metab\u00f3lica e por que isso muda a resposta?<\/summary>\n<p>Em d\u00e9ficit prolongado, o metabolismo basal cai al\u00e9m do que a perda de peso explica. Um n\u00famero que est\u00e1 certo hoje fica alto demais depois de algumas semanas. S\u00f3 14 % das respostas detalhadas mencionaram isso, e nenhuma calcula. \u00c9 a causa mais frequente dos plat\u00f4s.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Como calcular corretamente suas calorias para emagrecer?<\/summary>\n<p>Reconstruindo o gasto componente por componente, TDEE = BMR + NEAT + EAT + TEF, com o metabolismo basal calculado sobre a massa magra real, o NEAT sobre os passos medidos, o EAT sobre as sess\u00f5es realmente feitas, o TEF sobre os macros ingeridos, depois acompanhando a evolu\u00e7\u00e3o dia ap\u00f3s dia e corrigindo quando o corpo se adapta. \u00c9 um acompanhamento, n\u00e3o uma resposta em uma frase.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>A IA \u00e9 in\u00fatil para a nutri\u00e7\u00e3o?<\/summary>\n<p>N\u00e3o. A IA \u00e9 valiosa quando mede: estimar gordura corporal em uma foto, reconhecer um prato, ler um c\u00f3digo de barras. Ela \u00e9 fraca quando adivinha a partir de tr\u00eas n\u00fameros. A diferen\u00e7a est\u00e1 entre uma IA conectada a medi\u00e7\u00f5es atualizadas continuamente e um chatbot que responde de mem\u00f3ria a um desconhecido.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Posso reproduzir o estudo?<\/summary>\n<p>Sim. Os 12 prompts, as respostas brutas com data e hora, a extra\u00e7\u00e3o estruturada e os scripts s\u00e3o publicados em dados abertos (link no fim da p\u00e1gina). Cada chamada \u00e9 uma conversa nova, sem instru\u00e7\u00e3o de sistema, com os par\u00e2metros padr\u00e3o.<\/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\">Leia tamb\u00e9m<\/h2><\/header>\n<ul class=\"le-related\"><li><a href=\"https:\/\/lean-app.com\/pt\/calculateur-tdee\/\">Calculadora TDEE: a f\u00f3rmula can\u00f4nica BMR + NEAT + EAT + TEF <span>Calculadora bodyfat-aware com detalhamento dos 4 blocos metab\u00f3licos.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/pt\/calculer-vraie-depense-calorique\/\">Como calcular seu gasto cal\u00f3rico real: o guia completo <span>BMR sobre gordura corporal real, NEAT por passos, EAT por treino, TEF por macros, adapta\u00e7\u00e3o.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/pt\/calculateur-adaptation-metabolique\/\">Calculadora de adapta\u00e7\u00e3o metab\u00f3lica: seu metabolismo desacelerou? <span>Coeficiente 100 a 0 %, BMR adaptado em kcal\/dia, e quando fazer um diet break.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/pt\/10000-pas-calories\/\">10 000 passos por dia: quantas calorias isso queima de verdade <span>Entre 300 e 550 kcal conforme o seu peso. Tabela por perfil, f\u00f3rmula p\u00fablica, calculadora.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/pt\/etude-base-donnees-calories\/\">Estudo: 857 655 produtos analisados, 1 scan em 3 n\u00e3o confi\u00e1vel <span>A qualidade das bases de dados de calorias, medida.<\/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). 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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. 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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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