Short pieces. Sometimes a field note from a current engagement. Sometimes a half-formed take on a problem I am thinking about. Less polished than the writeups.
2026-05-26 / 4 min / website / rescue / quick-fix / small-business / kenya
A practical list of website, email, DNS, SSL, booking, form, M-Pesa, and AI-built app problems that can often start as a small fix before anyone quotes a rebuild.
2026-05-26 / 6 min / automation / professional-services / workflow / ai / kenya
Professional firms do not need AI everywhere on day one. A practical order for automating client intake, booking, document prep, and follow-up without breaking trust or compliance.
2026-05-26 / 5 min / website / hosting / rescue / small-business / kenya
Your site, domain, email, or M-Pesa link is down and customers cannot reach you. A practical triage order for small businesses: what to check first, what not to touch, and when to call for help.
2026-05-22 / 4 min / ai / unit-economics / pricing / founders
Founders ask 'how much will the AI cost?' and quote API prices. The API price is the least useful number in that conversation. Here's a practical model for cost per active user per month: the six terms that matter, and the five levers that actually move them.
2026-05-22 / 4 min / ai / debugging / vibe-coding / bug-rescue / production
When your AI coding tool gets stuck, another prompt often makes the app worse. Break the debugging loop with reproduction, evidence, small diffs, and tests.
2026-05-22 / 5 min / ai / vibe-coding / code-review / security / production
AI coding tools can get a SaaS demo online fast. Use this AI-built app production-readiness checklist before real users, payments, private data, and integrations.
2026-04-22 / 4 min / ai / fintech / build-vs-buy / founders
Build, buy, hire outside, or wait. Every fintech founder facing an AI decision has these four options, and the right one is rarely the obvious one. The costs and tradeoffs nobody puts on a slide.
2026-03-28 / 4 min / ai / consulting / scoping / founders
A practical framing for founders about to commission their first AI project: the right starting question, the four things to define up front, and the red flags that usually mean trouble.
2026-02-12 / 3 min / ai / production / consulting / founders
Many AI projects never ship. In my experience, the reason is rarely the model. A short note on the engineering work that lives between a working demo and a feature in real customers' hands.