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 CTO of Dialectica, after twenty years of building AI systems and scaling engineering organizations.
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.
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