AI workflows documented from inside a working consulting practice — not tool reviews from someone who opened a free trial yesterday. What survives past the novelty. What I cut. What a senior professional should actually copy.
The exact pipelines I run, step by step — prompts, tools, and where I still intervene by hand.
Choosing between tools that look identical on a landing page — decided by living with them for a year.
Longer essays on using AI as a thinking instrument, drawn from practitioner experience in enterprise systems.
The machine is fast at "here are ten things." You are paid for "here is the one that matters."— from File No.01 · "The research workflow that replaced my analyst"
A client planning dashboard, before and after a structured AI review pass. The same data; a completely different signal-to-noise ratio.
The exact prompt chain used to extract one decision memo from a 40-page client brief. Three prompts, forty minutes, one page at the end of it.
The full workflow diagram for turning a raw engagement note into a publishable article draft. Twelve steps. Four human checkpoints. One AI-assisted pass in the middle.
Every workflow here survived real client deadlines before it was written up. If it's in the diary, it actually ran.
When something I tried didn't make the cut, I tell you — and exactly why. The failures are the most useful part.
No sponsored issues. No paid placements. The day a recommendation here is bought, this stops being worth reading.
Affiliate links are marked every single time, and I only point at tools I actually run in client work.
No schedule. No filler. No sponsored placements. A new build goes out only when it's worth your ten minutes — usually every 2–4 weeks.
"I'll only send you something I would have written even if nobody paid me to. The day that stops, the newsletter stops."