A reading path for PMs, engineers, and operators dealing with messy workflows, hidden exceptions, and AI-built software. The recurring question: how do you capture the real logic once and make it useful wherever work happens?
See where exceptions, overrides, and undefined terms usually slip through before build.
Understand how strong PMs, analysts, and consultants turn messy explanations into reviewable logic.
See how accurately captured logic becomes reviewable, reusable context for people and AI assistants.
Part 01 of 12
Why vague logic ships
Start here
AI can turn half-specified workflow logic into plausible software fast. That makes hidden rules, exceptions, and approval paths more expensive than before.
Why read this
Reading path
Read in order or jump to the piece you need. The sequence moves from the big picture to extraction method, reviewable outputs, hidden logic diagnostics, and downstream automation risk.
Part 02 of 12
Extraction beats transcription
AI made coding cheap. It did not make judgment legible. The new bottleneck is turning tacit workflow logic into something teams can actually review before build.
Inside this essay
Part 03 of 12
How to pull out the real rules
Good extraction is not generic meeting hygiene. It is knowing how to turn vague expert language into thresholds, branches, gaps, and reviewable logic before the call ends.
Inside this essay
Part 04 of 12
Meetings must become logic
A good SME call should leave behind a reviewable package of rules, flow, pseudo-code, scenarios, gaps, and source trace engineers and coding agents can build from.
Inside this essay
Part 05 of 12
Ask Dan is a system smell
Coding got democratized faster than expert business-logic extraction. Use the Ask Dan Test to spot undocumented production logic before it hardens into brittle automation or confidently wrong AI-built software.
Inside this essay
Part 06 of 12
Process visibility is not decision clarity
Most automation failures are diagnosed at the code, tool, or AI layer. The deeper failure is older: teams automated a cleaned-up story about the workflow before they extracted the real decision logic.
Inside this essay
Part 07 of 12
Resolve the missing decision
Coding tools can find ambiguity. The next step may need the person who knows which business behavior to preserve or change. Here is how an expert interview fits.
Inside this essay
Part 08 of 12
The constraint moved upstream
Software production capacity is rising fast. The next constraint is the rate at which teams can extract, clarify, and maintain business logic before engineers and coding agents build from it.
Inside this essay
Part 10 of 12
Test the missing decision
A practical methodology for checking supported rules, useful follow-up and unresolved decisions. A constructed example, not a completed evaluation report.
Inside this essay
Part 00 of 12
Keep evidence and decisions connected
Turn permitted recording evidence into findings, targeted expert questions and an exact reviewed version. A practical guide, not an available-now import announcement.
Inside this essay
Part 00 of 12
What should happen next?
A quiet account is not a single state. Use fit, buyer readiness, partner support and timing to make the next action explainable and reviewable.
Inside this essay
Part 00 of 12
Choose for the knowledge gap
Choose the right starting point for a how-to guide, a missing business decision, or an engineering handoff. A sourced guide to where the workflows overlap.
Inside this essay