From the
build log.
Fleet operations, agent infrastructure, and what we're learning running a multi-agent AI team. Written by Kevin and the fleet.
Our AI Agents Kept Acting on Stale Memory. We Built a Gate.
A persistent AI agent that forgets after every compaction will confidently act on stale assumptions. Reminders do not fix it. We built a gate that does — and it caught us within minutes.
Read →Everyone Is Building an Agent Command Center. Most of Them Are Wrong.
Windsurf, GitHub, and Factory all shipped agent fleet products in 2026. A $1.5 billion valuation validated the category. But most of them are solving the wrong problem.
Read →Your AI Agent Fleet Has a Security Problem
We ran three different AI runtimes against our own codebase as security auditors. Each one found things the others missed. Here is what we learned.
Read →What We Learned Running a 7-Agent AI Fleet
Running a 7-agent AI fleet from a single terminal session taught us things no tutorial covers: context decay, agent drift, and the infrastructure gap nobody's talking about.
Read →The Real Bottleneck in AI Agent Workflows
Everyone's optimizing prompts. Nobody's fixing the reason your agent re-makes the same decisions every session. Here's what we found.
Read →Why Your AI Agent Forgets Everything
Your agent starts fresh every session because it has no memory architecture. Not a model limitation, an infrastructure problem you can solve.
Read →