Writing
Notes from the build.
What we learn shipping agent systems that have to survive real data, real volume, and the 5% of cases that go wrong.
14 August 2026
What "autonomy level 2" means in practice
A four-rung ladder for deciding how much an agent gets to do on its own — and why almost everything valuable lives on rung two.
Read →
12 August 2026
Your agent doesn't need to be smarter. It needs a kill switch.
The gap between a demo and a system you'd leave running overnight isn't model quality. It's four pieces of unglamorous infrastructure — evals, tracing, budgets, and a way to stop it.
Read →
10 August 2026
The four things an agent should own before anything else
Most teams pick the wrong first job for their AI. Here are the four workflows that are safe, boring, and worth more than anything clever.
Read →
7 August 2026
The inbox that answers itself
Most of what we call "work" is admin — chasing, updating, replying. AI is quietly eating that layer. Here's what to hand over first, and what to keep.
Read →
5 August 2026
AI as a teammate, not a tool
A tool waits to be picked up. A teammate notices the work and does it. That one difference decides whether AI actually saves you time.
Read →
3 August 2026
The 5% problem — why AI demos lie and production doesn't
Every AI demo works. Then real data shows up. Here's what the last 5% actually costs — and why it's the only part that matters.
Read →