Think clearly.
Build deliberately.
Useful questions at the intersection of product leadership, AI, and software delivery.
Published articles
LLMOps: turn production traces into release evidence.
Observability becomes more valuable when real failures feed a curated evaluation set, a clear quality bar and a deliberate release decision.
19 OCT 2026 · 5 MIN READASDLC: the harness is part of the product.
As coding agents take on longer tasks, product leaders need acceptance contracts, controlled autonomy and evidence of useful delivery—not just more generated code.
17 OCT 2026 · 5 MIN READAI governance is a product design problem.
Turn permissions and oversight into understandable product behavior, rather than a policy users never see.
15 OCT 2026 · 6 MIN READThe dark factory still needs a product mind.
Autonomous delivery makes intent, acceptance criteria, and accountability more valuable—not less.
12 OCT 2026 · 4 MIN READA company brain needs a memory policy.
Shared AI context is only useful when ownership, freshness, and access are part of the architecture.
08 OCT 2026 · 4 MIN READWhen tokens become a product metric, count the outcome.
Connect AI resource use to successful tasks, quality, and the effort required to recover from failure.
04 OCT 2026 · 3 MIN READFrom smart AI to real usage: design the next step.
The path from an impressive answer to repeated use runs through trust, guidance, and a clear next action.
30 SEP 2026 · 4 MIN READKnowledge Base as a Product: the missing layer of AI adoption.
Give organizational knowledge users, ownership, quality standards, and a roadmap.
26 SEP 2026 · 4 MIN READ