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Looking for an actionable chunking and context strategy to use ChatGPT and Claude together on a 50k-word industry report. I need prompts and orchestration tips to maintain coherence…
Pharma literature requires precise extraction of study parameters and limitations; I'm comparing models on accuracy and traceability. Interested in handling references, tables, and deep domain terminology.
Need a model that preserves citations and handles dense legal language for brief drafting and precedent extraction. Comparing ChatGPT and Claude on citation fidelity and hallucination risk.
Podcast producer planning to clone a guest voice needs a step-by-step workflow plus consent, licensing language, and file management to avoid takedowns later.
Growth engineer wants a low-code flow: webhook → Zapier → ChatGPT to generate personalized follow-ups and push to email/SMS while tracking opens and replies.
Seeking recommended Copilot configuration (suggestion frequency, telemetry, policy controls) that balances developer speed with auditability and IP safety in an enterprise repo.
We see irrelevant or unsafe suggestions in a large monorepo; need steps to tune prompt context, file-scoped suggestions, and integrate linters to filter bad suggestions.
We want automated explanations of large diffs for non-expert reviewers; comparing Copilot's IDE context vs ChatGPT's general reasoning for clarity and security risk detection.
Engineering manager for a 30-person team wants to integrate Copilot into PR review pipelines to reduce review time while avoiding regressions in a monorepo with multiple languages.
