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Building an AI research workflow that produces sources, not just summaries

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AI can accelerate research, but fluent text is not evidence. Separate discovery, verification, and synthesis. Define the question and timeframe; use AI to suggest search terms and primary-source types; collect original reports, documentation, papers, and official releases; record each URL, date, author, and claim; then use AI to compare sources and draft an outline.

Verify every factual statement before publishing. Ask models to label inference separately from fact and say β€œnot found” where evidence is missing.

What system do you use to keep sources organised when research becomes large?
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Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.
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