Thinking in public.
Perspectives on AI strategy in knowledge work. What works, what doesn't, and what to try first.
Where Design Knowledge Goes to Die (And How to Stop It)
Popular nowPain-point post for design firms on knowledge loss, precedent retrieval, and workflow-embedded context capture.
planningThe Boutique Firm Growth Trap - When "Everyone Does Everything" Stops Working
Pain-point post for boutique planning firms on separating expertise work from repeatable deliverable assembly.
architectureBefore You Hire Another Project Coordinator, Read This
Wedge post for architecture firms arguing that recurring construction administration coordination should be treated as workflow infrastructure before adding headcount.
positioningStop Buying Generic Chatbots
Popular nowPositioning post explaining what buyers should ask for instead of generic assistant bolt-ons.
analysisThe Specification Problem
Organizations overestimate what AI can intuit and underestimate what it can produce when properly directed. The gap between those two things is where most AI initiatives go to quietly die.
frameworkThe Capacity Problem
Popular nowNinety-five percent of enterprise AI pilots never reach production. The failure isn't technical. It's that most organizations lack the thinking infrastructure AI actually requires.
perspectiveThe Tool Problem
Knowledge organizations have spent two decades solving problems by buying software. AI doesn't work that way.
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