Strategy, playbooks, and lessons we've gathered building automation and AI systems for operating teams. Practical, opinionated, and written by the operators behind the work.
Two client sites we rebuilt with Claude, the routines that keep them updating themselves, and why this is now a different decision from hiring a traditional agency.
Five patterns we see in failed automation rebuilds, and the diagnostic questions that catch them before you spend a dollar.
A practical comparison from inside real client builds. When each tool wins, where they break, and what we actually default to.
Five workflows where an LLM-driven approach outperforms rule-based automation, and the cost ceiling to watch for.
Most teams don't know where to start. The right starting points are obvious once you know what to look for: high-volume, well-documented, low-complexity work.
Both are excellent. They're not interchangeable for ops work. Where each wins, where each breaks, and the hybrid we deploy.
Everyone's saying "AI agent" right now. Most of them mean "AI assistant." The two work very differently.
More articles coming soon.
One short email per month. What's new in AI and automation, what we're testing, what's worth your attention. No fluff.
Free. Unsubscribe any time.