Every SaaS founder hits the same wall: "we should add AI features." Then reality hits — 4 engineers, 6 weeks, orchestration logic, retries, credential handling, background jobs... just to ship one agent. Multiply that by every agent you actually want, and suddenly you're 3 months deep into infrastructure instead of your actual product.
I got tired of watching teams rebuild the same plumbing over and over, so I built Supahmation. One API that gives you 42 production-ready AI agents (trip planning, competitor intel, SEO audits, outreach, and more) across 4 model providers (OpenAI, Anthropic, Gemini, xAI) and more to come.
No lock-in. No plaintext keys floating around your logs. No "where did the $400 in tokens go" mystery at the end of the month.
Try it free: https://app.supahmation.com
Would genuinely love feedback from this community — especially from anyone who's tried to wire up agent orchestration themselves and hit the same walls I did. What almost stopped you from shipping AI features in your own product?
You removed a lot of engineering friction, but adoption may depend on whether founders see this as infrastructure or as a way to ship AI features faster. That's a positioning distinction that can change who immediately understands the value.