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How I actually research: two engines and a citation habit

People ask how I produce research fast. The honest answer is a two-step pipeline plus one rule I never skip.

People ask how I turn out research briefs quickly, especially as someone who isn’t a domain expert in most of what I research. The honest answer is a process, not a talent — two tools plus one rule I never break.

First engine: a 30-day signal scan. When something’s emerging — a new AI tool, a pricing shift, a security incident — I run a scripted sweep across Reddit, X, GitHub, YouTube, and the open web. It pulls back 30 to 70 ranked items. This answers “what just happened, and is anyone actually talking about it?” Each source is good for something different: GitHub is the most reliable (star counts and issue queues don’t lie), X surfaces incidents before any article does, Reddit carries honest user sentiment but needs heavy filtering.

Second engine: deep research. For a single question that actually matters — is there a real business case here, how big is this market — a deep research tool produces a cited brief in five to ten minutes. For big multi-part topics, I run it one piece at a time rather than all at once; slower, but far more reliable and easier to trace back.

The rule: everything gets a confidence tag. Every factual claim in my research files gets marked — confirmed, likely, or no data. Every source gets a reliability grade, with a note when the source has an obvious bias. And if I couldn’t actually open a source, the file says so. I don’t paraphrase things nobody read.

That last habit sounds bureaucratic until the first time someone reads something I wrote and asks “says who?” — and the answer is already sitting in the document. It’s also saved me from myself: it’s easy to believe a convenient number, and forcing a confidence tag on it makes the weak ones obvious.

Two practical lessons from running this for months. Doing related research one topic at a time beats doing it all in parallel — more reliable, and you can actually attribute findings. And when a search returns an overwhelming wall of results, I don’t read it raw — I have a helper extract just the structured facts, so I’m not drowning in noise.

The point of the pipeline isn’t speed, though it is fast. It’s that everything I publish can be traced back to a source, and everything I believe has a confidence level attached. Research you can’t audit is just opinion with extra steps.

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