The best starting point depends on what you do every day, not on generic model labels.
Start with code explanation, bug analysis, PR review, API design, and refactor planning.
Use it to break down PRDs, define acceptance criteria, and surface open questions.
Great for outlines, FAQs, SEO rewrites, multi-channel variants, and content calendars.
Useful for comparing long materials, extracting insights, and organizing conclusions.
Feed policies and SOPs into the model and turn them into reusable answer patterns.
Turn complex topics into handouts, exercises, and structured teaching materials.
Treat it as a controlled workflow node instead of a generic chat box.
Decide whether you want a summary, a table, a code patch, an FAQ, or an execution checklist.
Provide the relevant documents, prior decisions, constraints, and expected boundaries in one place.
Ask for sections, fields, JSON, or a review checklist instead of accepting loose free-form output.
Keep a human review loop for facts, code merges, external publishing, and business decisions.
These tasks are the easiest to standardize and reuse across teams.
Return conclusions, risks, key data points, unanswered questions, and next actions.
Compare product fit, pricing, UX, target users, and differentiation in one structured output.
Ask for problem localization, minimal changes, risks, and regression checks.
Convert product docs, support logs, and help-center materials into clean answer sets.
Rewrite one topic into homepage summaries, blog sections, help content, and landing page blocks.
Pull out definitions, rules, limits, owners, and exception paths from long documents.
Most failures come from poor input and weak process design, not from the model alone.