Building reliable AI‑agent products for indie founders

After running into countless production pain points while building AI agent projects, I’ve launched BuildPilots.

Most open‑source agent frameworks shine for local demos. Once real‑world user traffic arrives, you quickly need observability, step tracing, input validation, and workflow stabilization — components rarely included out‑of‑the‑box.

Enterprise platforms are bloated and expensive for solo builders and small teams. BuildPilots aims to fill that gap: practical, production‑oriented tooling for shipping robust AI‑powered applications, without building every supporting system from scratch.

Right now I’m iterating heavily based on real‑world feedback.

Curious what pain points you are hitting when you try to take your AI agent projects from prototype to production. What parts slow you down the most?

Would love thoughts and feedback from this community.