AI project delivery
What Does a Technical Project Manager Actually Own in an AI Project?
A first-hand guide to scope, dependencies, quality, risk, and human decisions in AI project delivery.
October 12, 20266 min read
Writing
Notes on systems, delivery, and practical AI.
Practical ideas from the work: what I built, what I learned, and the operating decisions behind technical delivery.
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AI-assisted delivery
Vibe Coding to Production: How to Manage an AI-Assisted Build
Vibe coding can produce a prototype quickly. The real work is turning it into a usable, reviewable, and maintainable system.
October 10, 20267 min read
Systems migration
CRM Migration Runbook: What to Document Before You Switch Systems
A practical migration document set for preserving workflows, validating data, and protecting team adoption.
October 8, 20267 min read
AI automation
What 80+ Automations Taught Me About Reliable AI Systems
The patterns that make operational automations useful: clear triggers, deterministic steps, human review, and measurable outcomes.
October 6, 20266 min read
AI project reporting
How to Report AI Project Risk, Quality, and Progress to Leaders
A practical status-report structure for quality, risk, human review, decisions, and business impact.
October 4, 20266 min read