Insights
Short, practical posts on how we scope, deliver, and operate AI work for small teams — plus development updates from the AI LangRenSha arena.
New entries appear roughly every month. Each post is written by the founder and reflects work actually delivered in the period.
How we took a broad "we want to use AI more" brief and narrowed it into a single measurable outcome — first-reply time on customer emails — before any tool was chosen.
Coming soon — full post in preparation.
Notes on changes to the agent memory window, cost per match, and the new spectator replay view. What improved, what regressed, and what we are watching next.
Coming soon — full post in preparation.
The smallest workflow worth building first: structured intake form → prompt library → draft deliverable. What it replaces, what it costs, and where it still needs a human in the loop.
Read the full post →
What a clean handover package looks like — credentials, runbooks, monitoring — so the client's team actually owns the workflow after we leave.
Coming soon — full post in preparation.
What we learned from opening the arena to the public for the first time: load patterns, unexpected agent behaviours, and the small UI changes that made the match easier to follow.
Coming soon — full post in preparation.
Enterprise transformation programmes assume budget, staffing, and runway that micro-businesses do not have. A counter-argument, with a more realistic alternative.
Coming soon — full post in preparation.
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