Most "AI automation" projects look great in a demo and fall over in production. This isn't that. The workflows you see here run live, every day, on real client infrastructure — designed to keep running without anyone watching them.
See the work →I'm Mit. I build AI automation systems for teams that need their workflows to actually run — not just demo well in a sales meeting. Lead research, invoice extraction, content briefing, custom internal tools, whatever the bottleneck is.
Every system shipped here is self-hosted on infrastructure I run, debugged in real failure modes, and built with retry layers, error workflows, and observability from day one. The kind of work that holds up after the demo ends.
Three production builds, each with its own page — the brief that came out of it, the architecture behind it, and the way you'd actually deploy this for a team.
Drop me a line with the rough shape of the problem — what's manual today, what tool you live in, what good would look like — and I'll tell you honestly whether it's a fit and what it'd take to build.
hello@autom8ic.com →