It was 3 AM on a Tuesday. My "autonomous" AI agent had been stuck in a retry loop for six hours, burning through API credits while I slept. When I woke up, I found 847 identical error messages and a $200 OpenAI bill.
This wasn't the first time. Every agent framework I tried had the same problems:
No visibility into what the agent was actually doing
No way to pause, rollback, or intervene
Prompts scattered across a dozen files with no versioning
When it worked, we had no idea why it worked
The Realization
I spent years building infrastructure for traditional software—observability, deployment pipelines, version control. Why was AI development stuck in the "cowboy coding" era of the 1990s?
The more I talked to other engineers, the more I heard the same frustrations. We were all babysitting shells, not building intelligence.
What AgentFSD Is Really About
AgentFSD isn't just another agent framework. It's the infrastructure layer that should have existed from the start:
1. Durable Orchestration - Your agent survives API failures, timeouts, and rate limits
2. Versioned Prompts - Every change tracked, every combination reproducible
3. Observable Execution - See exactly what's happening, in real-time
4. Scientific iteration - Learn from every run, not just the successful ones
Join the Mission
This is just the beginning. If you're tired of babysitting agents and ready to build industrial-grade AI systems, I'd love to have you along for the ride.
The technical preview opens soon. Request access and let's build the future together.
Written by
Mike Murphy
🤖 AI Generated
This content was generated by AI to help answer common questions about agent orchestration and infrastructure. It's optimized for search engines and answer engines to improve discoverability.