Pulse
Notes on running AI in production — what it genuinely speeds up, where it quietly costs you, and how to keep shipping software your own team can still explain.
- 16 min read
Harness, loop and graph: the three layers behind every AI agent
Harness, loop and graph engineering are the three questions you have to answer before an AI agent goes near production. Here is what each one means in plain English, and how to work out which layer is actually broken when your agent misbehaves.
Read it - 7 min read
What a sane agent spend cap actually looks like
Most teams set one monthly budget and call it a guardrail. It is the only limit that cannot protect them. Here are the three caps that can, and how to derive them from your own numbers rather than copying someone else's.
Read it - 12 min read
The AI-Native SDLC Playbook for Startups and Small Businesses
How to run software delivery when AI agents write most of the code: the ten-part AI-native SDLC we use on every ExponenLabs engagement, with what to do first at pre-MVP, post-MVP and under $1M revenue.
Read it - 4 min read
The bottleneck moved to review
AI made writing code cheap. It did not make reading it cheap — and that is the constraint almost nobody is budgeting for.
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