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Marketing & Small Business2 min read

AI models differ in how they handle numbers in proposal drafts

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…

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What you can do with it

AI at Work →
AI-generated proposal verification tools by Author (Search: ChatGPT)

Draft business proposals with AI-generated proposal verification tools

What you get You can check AI-generated numbers.

Identifies how each AI model handles numbers and sources in drafts, with tools to audit.

Who for
marketers
Cost
free

Use it for

  • Draft business proposals
  • Check AI-generated numbers
  • Request source citations

How to set it up · From the article

  1. Download the comparison table and checklist from the article
  2. Use the prompts to audit AI-generated drafts in Claude, ChatGPT, or Gemini
  3. Apply the checklist to verify numbers and sources before finalizing

Watch out Best for users without internal verification systems

AI-generated proposal verification tools in the tool directory

Key points from the news

  • 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

The 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.

Full story from note.com · by AI Scout JP · via Search: ChatGPTOpen source ↗

When I compared AI-generated proposal drafts using Claude, ChatGPT, and Gemini, the way they deviated in numbers was unique to each

note.com · 30 September 2026

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This text was published by note.com and written by AI Scout JP. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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