Everything I’ve written about making AI actually work: what enterprise AI really returns, how agentic adoption succeeds or fails, and where the technology is genuinely heading. Written from the operator’s seat — I lead AI transformation as a CTO, after twenty years of building AI systems and scaling engineering organizations.
New here? Read the first list for the core arguments, then go deeper into team design, tooling and where AI is heading. Each essay links to related pieces, so you can follow any thread.
Start with these
- The AI ROI Reality Check — what 45 global CIOs and CTOs actually report behind closed doors: the 30% reality vs the 10x promise.
- The 100x Agent Illusion — why layering agents on broken data and messy processes amplifies dysfunction, and what to engineer instead.
- The Agent-Human OS — a framework for wiring AI agents into how your company actually operates.
- Understanding AGI: The Competent Adult Definition — a benchmark for “general intelligence” you can actually reason with.
Going deeper
- Balancing AI Tools and Human Talent — why top talent matters more, not less.
- The Potential and Pitfalls of Vibe Coding — prompt-first building, honestly assessed.
- Building Software with the Rule of Two — the highest-leverage team unit in the AI-native SDLC.
- The Open Source Loophole — software licenses were written for humans; agents are executing them now.
- Neuromorphic Computing — the brain-inspired hardware frontier.
- Google Gemini Gems — custom AI agents for engineering workflows.
- AI as an API (2017) and Chatbots Are Search APIs (2017) — from the archive: this arc has been building for a decade.
Latest on AI strategy
- How I Used AI to Navigate Greek Bureaucracy — AI as a system-level thinking partner against slow, opaque institutions.
- The Revolutions I Lived Through — ten technology waves and the one pattern they share.
- AI and Authenticity: My Writing Process — how I actually use AI when I write.
- The Great Tech Reset — why AI isn’t killing engineering, it’s restoring its soul.
The spine
All of this serves one argument: technology should optimize for freedom, not engagement. That argument is The APILama Tech Manifesto.
Related hubs: The Agentic Web & MCP · Engineering Leadership