Featured dispatchJul 7, 2026 7 min read
Why We Break Agents on Purpose
We found that the only way to build truly robust autonomous systems is to subject them to chaotic, adversarial environments.
Read the dispatch02 / Field notes
Technical notes on operating AI agents, evaluating failures, and building reliable context systems.
We found that the only way to build truly robust autonomous systems is to subject them to chaotic, adversarial environments.
Read the dispatchHow Tracey and Atlas form the platform underneath Clara and Riley—the full-stack products that put agents to work.
Multi-agent systems are becoming distributed software. The hard problems are no longer prompts—they are contracts, context, observability, and controlled autonomy.