The ease of using in building AI workflows, I usually struggle with code tools but it gives a very easy to use builder. I found all the integrations I needed to build my flows (native Slack integration + Notion were there). It was super fast to make, and i was able to diagnose the issues super quick. The onboarding was a bit tricky, but given its a dev tool, I found it much less technical.

The thing that keeps me coming back to Fastn is how quickly I can take an agent from "connected to nothing" to "actually doing work." Wiring up a connector, testing it against the live API, and orchestrating it into a workflow all happen in the same place, so I'm not bouncing between half a dozen tools to get one integration working. That tight loop is where it earns its keep for me.

What I value most about Fastn is how it collapses the gap between an AI agent and the tools it actually needs to act on. The MCP gateway lets me expose a whole set of connectors—Notion, Slack, Gmail, and others—through a single endpoint, so instead of wiring up bespoke integrations for every agent I build, I point it at Fastn and the tools are just there. That's saved me hours on every agentic project. The connector and workflow layer is the standout for me. Being able to build, probe, and publish a custom connector against a real API, then orchestrate it in a workflow without leaving the platform, means I can go from idea to working demo in a single session. The OAuth handling in particular removes a chunk of auth plumbing that usually eats the most time.