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Practical thinking on technical leadership, focused product delivery, and AI that earns its place in production.
Featured guide · Production AI
Production AI integration: a practical launch checklist
· 5 min read
A production AI feature needs a bounded task, representative evaluations, enforced permissions, and a usable failure path. Before launch, test the complete application, including retrieval and tools. Define who owns it, what triggers a rollback, and how users finish their work when the model cannot help.
Read the guideAll articles
5 articles
Product engineering
How to scope an MVP without cutting the wrong corners
A founder’s guide to MVP scope: test the riskiest assumption, choose a complete workflow, and keep the safeguards needed for a real launch.
· 5 min readProduction AI
Production AI integration: a practical launch checklist
A production AI checklist covering task boundaries, evaluation, permissions, failure handling, latency, cost, and a release that can be stopped safely.
· 5 min read
Production AI
How to reduce AI response latency without hiding failures
Measure the full AI request, separate useful output from optional work, and improve streaming, cancellation, and retries with a worked latency example.
· 5 min read
Technical leadership
When should a startup hire a fractional CTO?
Compare a fractional CTO, senior engineer, and full-time technical leader. Define decision ownership, useful deliverables, and when part-time leadership will not fit.
· 5 min read
Architecture
When should a startup rebuild its software?
A practical rebuild decision guide: compare repair, gradual replacement, and a full rewrite using delivery evidence, migration risk, and exit criteria.
· 5 min read
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