Workflow: combining ChatGPT and Claude for research vetting
I want a repeatable pipeline that uses one model to draft and another to fact-check and cite. Looking for prompts and orchestration tips to minimize hallucinations.
Best tools for this use case
Based on the workflow in this discussion, these tools are useful starting points to review.
ChatGPT
Best all-round AI assistant for broad knowledge work and workflow acceleration.
Claude
Excellent for careful reasoning, long-form thinking and structured analysis.
Gemini
Strong AI assistant for users already working inside Google's ecosystem.
Answers
Approved replies, operator insight, and tactical follow-up from the community.
Use ChatGPT to draft and Claude to verify/cite.
1) Draft (ChatGPT): produce the article plus a numbered list of discrete claims; tag uncertain claims [CITE?]; set temperature=0.
2) Retrieve: run focused web searches per claim and collect the top 3 URLs and short snippets.
3) Verify (Claude): for each claim, return verdict (Supported/Contradicted/Unverifiable), 1–2 verbatim quotes with exact URLs, and a confidence %.
4) Finalize: keep only Supported claims and rewrite with inline citations.
Tip: exchange data as strict JSON to avoid parsing errors.
Compare Claude vs ChatGPT: Compare Claude and ChatGPT