Journal
AI in production.
Field notes from running agent fleets in production — what survives past the demo, and how dev teams become agentic operators.
AI that's 10x, not cheaper: what prod-grade agentic output means
If the goal of AI is to ship the same work cheaper, you'll be disappointed. The win is prod-grade output and roughly 10x from the team you already trust.
16 Jun 2026What agentic operators actually do (the operator, not the copilot)
An agentic operator runs AI agents that do whole units of work, instead of typing every line. Here's what the role looks like day to day.
16 Jun 2026Augment, never replace: turning a dev team into agentic operators
The fear that AI is there to replace developers is what quietly caps the capability you paid for. Augment-not-replace isn't ethics, it's what works.
16 Jun 2026What agentic-dev training actually looks like
Most AI training is a slide deck and a prompt cheatsheet. Turning a dev team into agentic operators is hands-on, on your own codebase, on real production work.
16 Jun 2026Build vs buy your AI capability: the CTO's real decision
Buying an AI tool gives access, not capability. Building alone burns senior quarters. For most teams the real answer is neither. The honest build-vs-buy framing.
16 Jun 2026Why AI demos die before production
The AI demo always works. Then it meets your real codebase, standards, and scale, and quietly dies. The demo-to-production gap is where most AI initiatives fail.
16 Jun 2026The copilot-operator gap: why your Claude seats aren't enough
Your team has AI autocomplete, maybe 10% of what coding agents can do. The gap to agents running work in production is an operating problem, not a license problem.
16 Jun 2026Running agent fleets in production: what it actually takes
Going from one agent to a fleet in production isn't a prompt change. It's four engineering layers: context, orchestration, observability, and an operating model your devs run.
16 Jun 2026