I am a tech enthusiast dedicated to democratizing technology. My mission is to build products that make powerful tools affordable and accessible to everyone.
We ve gotten pretty good at measuring what an LLM costs. Tokens in.Tokens out.API bill. But an agent does a lot more than generate tokens. It might call three tools, run a search, query a database, invoke another agent, retry a failed step, and finally produce something useful. So what did that piece of work actually cost? That s the problem I ve been thinking about with Kopai. Every agent run should have a ledger: What did it do? What did it consume? What did it cost? And eventually what did it earn? Not just token accounting. A financial ledger for agentic work. Tell me what you are using to monetise you Agents
Not another chatbot builder. Not another connect your API to an LLM tool. I mean the boring, painful infrastructure that you don't want to build every time you ship an AI agent.
Hi Product Hunt Family, We ve been building something we think the AI agent ecosystem is missing.
Domain experts have knowledge worth paying for, but their income is capped by their calendar. One consultation, one hour, one client at a time. AI agents change that math: package what you know once, and let it solve the same problem for hundreds of people without you in the room.
Then we ran into a problem.Building the agent turned out to be the easy part. The real questions were:
