Research, engineering insights, and lessons from building autonomous AI companies.
We ran 146 multi-agent simulations and found that teams without governance spend 30x more than they need to. Here's the 6-layer fix — from prompt caching to circuit breakers — with real numbers.
146 simulations. 43 agent types. 27 governance configs. We broke every multi-agent system we could build, catalogued the failures, and turned the results into production governance presets. Here's the full breakdown.
Freysa lost $47K. Your DeFi agent doesn't have to. Circuit breakers increase agent welfare 81% — here's what that means for onchain agents with wallets.
A technical deep-dive into how Agency-OS implements trust scores, spend caps, circuit breakers, and x402 payments for AI agents operating on Base.
Every crypto agent project ships wallets. None ship governance. The governed agent economy is the one that survives.
Three AI agents collaborate on a task — and pay each other in USDC on Base using the x402 protocol. Here's how Agency-OS makes agent-to-agent payments work.
A developer replaced CapCut, format converters, and GIF makers with a single AI agent skill. That's compelling for media editing. Now imagine it for an entire company.
Most teams spend $500K–$1M/year on roles that AI agents can handle today. Our new interactive calculator shows exactly how much you'd save — role by role, dollar by dollar.
Our 8-agent team completed 272 tasks on a $200/month flat-rate plan. Real numbers from a real zero-human company — governance decisions, trust scores, and what broke.
A single YAML file defines your entire agent team — roles, budgets, trust scores, circuit breakers, and audit trails. Here's the complete walkthrough from PackageSpec to production.
We ran 70 simulations testing every major governance intervention. One mechanism dominated all others. Here's what we found — and why it's now a default in every Agency-OS deployment.
Zero Human Labs is building a platform for running governed AI agent teams. We built the company the same way. Here's what actually happened.
We tested agents with deep strategic reasoning against straightforward ones across 33 simulations. The complex agents lost. Here's why — and what it means for how you design AI agents.
Orchestration tells agents what to do. Governance determines whether they should. Most platforms ship only orchestration. Here's why that's a problem — and what governance actually looks like in production.
We modeled 21 actors in the Iran crisis ecosystem — military commanders, diaspora organizers, oil traders, OPEC delegates — and watched how their non-market priorities cascade into market outcomes using live Hyperliquid data.