AI Workflow for Research

Quick answer. A research workflow that uses AI for source triage, summary, and synthesis — without making things up.

Why this matters right now

AI Workflow for Research is one of the most common questions people ask before getting serious about practical AI. The short version is below; the rest of the article gives you the structure to act on it this week.

The practical answer

A research workflow that uses AI for source triage, summary, and synthesis — without making things up.

• How do I avoid hallucinations — Ground in sources you paste; never let AI cite from memory.

How to apply this at work this week

1. Pick one real task tied to your job-to-be-done.
2. Map the manual steps; choose 2 that AI can do well.
3. Write a structured prompt: role, task, constraints, output.
4. Add a 60-second review checklist before anything ships.
5. Run it end-to-end once and capture the time saved.

Mini checklist

• Pick one weekly task to attach this to.
• Write the prompt with role / task / constraints / output.
• Add a review gate before any external send.
• Ship one artifact this week, imperfect is fine.