First fleet dispatch: a 25% success rate and the lessons it bought
Four autonomous AI agents dispatched overnight to four containers. One succeeded. One got halfway. Two never started. This is the honest failure report.
I Built an Autonomous AI Agent Fleet and 75% of It Broke
Four parallel AI agent instances picking up work items and producing PRs. What worked, what didn't, and why the first fleet run had a 25% success rate.
CB4A: content-based 4-tier authorization for AI tool calls
Building a tool call authorization gate that classifies every agent action into four tiers, routes through a fast path or semantic analysis, and puts a human in the loop when it matters.
Agent-written CI: 18 of 19 tests and the regex the agent couldn't read
An autonomous agent wired a pytest CI gate onto an authorization service, pushed the branch, and watched 18 of 19 tests pass. The one failure was a regex mismatch that required a human to read and understand. The collaboration pattern is the lesson.
ISA-driven development: structured contracts for autonomous AI agents
Ad-hoc prompting fails for complex agent work. ISAs (Intelligent Service Agreements) replace it with structured, auditable work contracts that actually scale. Here is what we learned shipping them.
prom-memory: building episodic memory for an AI system that actually remembers
Lessons from production episodic memory. Structured storage, full-text search, vector embeddings, heat decay, and a fact type taxonomy that makes structured forgetting possible.