{"version":1,"type":"story","url":"https://digestai.news/story/ai-models-differ-in-how-they-handle-numbers-in-proposal-drafts","json":"https://digestai.news/story/ai-models-differ-in-how-they-handle-numbers-in-proposal-drafts.json","markdown":"https://digestai.news/story/ai-models-differ-in-how-they-handle-numbers-in-proposal-drafts.md","slug":"ai-models-differ-in-how-they-handle-numbers-in-proposal-drafts","headline":"AI models differ in how they handle numbers in proposal drafts","summary":"A user compared drafts generated by **Claude**, **ChatGPT**, and **Gemini** for the same business proposal. Each model produced distinct errors in numerical data, such as plausible but unverifiable figures. The author provides three practical tools: a comparison table showing how each model handles numbers and sources, a one-page checklist for verifying drafts, and three prompt templates to request verification, citations, or alternative phrasing without numbers.\n\nThe tools target professionals who draft proposals monthly and rely on AI for initial drafts. The author notes that those with existing fact-checking systems or rare proposal needs may not need these resources. The post also outlines common rejection patterns and trends in AI-generated discrepancies.","keyPoints":["Claude, ChatGPT, and Gemini each produced unique numerical errors in proposal drafts for the same prompt","Author offers a comparison table, verification checklist, and three prompt templates for draft review","Tools target proposal writers who use AI for drafts but lack internal verification systems"],"whyItMatters":"Reveals how AI models vary in handling factual data, helping users spot inconsistencies before submission. Useful for teams relying on AI for proposals but lacking manual checks.","category":{"slug":"marketing","name":"Marketing & Small Business","url":"https://digestai.news/category/marketing"},"entities":{"companies":["Claude","ChatGPT","Gemini"],"models":[],"people":[]},"firstPublishedAt":"2026-09-30T03:25:00Z","updatedAt":"2026-09-30T03:25:00Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"note.com","title":"When I compared AI-generated proposal drafts using Claude, ChatGPT, and Gemini, the way they deviated in numbers was unique to each","url":"https://note.com/ai_scout_jp/n/nbc767753d8bd?hl=en","publishedAt":"2026-09-30T03:25:00Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"AI models differ in how they handle numbers in proposal drafts\", 30 September 2026, https://digestai.news/story/ai-models-differ-in-how-they-handle-numbers-in-proposal-drafts","publisher":"Digest AI","title":"AI models differ in how they handle numbers in proposal drafts","datePublished":"2026-09-30T03:25:00Z","url":"https://digestai.news/story/ai-models-differ-in-how-they-handle-numbers-in-proposal-drafts"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}