An agentic chat product, built end to end.
Kleio needed a chat product that could actually do things — not just answer, but plan, call tools, and act on a live database. We built the whole system: a fast SvelteKit chat interface, the AI agent pipeline behind it, and the data layer underneath. It runs in production today with enterprise clients in France.
The problem
Kleio's users needed to hold a conversation with their systems, not file tickets against them — ask in plain language and have the product take the action. That meant a chat interface fast enough to feel instant, an agent that could plan and call tools reliably, and a database it could read and write without breaking. Off-the-shelf chat wrappers handled the first ten minutes and fell apart under real enterprise load.
What we built
How it works
Results
“They shipped a working deployment in week two and never stopped. When something breaks now, it's usually them telling us — with a fix already open.”
Running it
We didn't hand Kleio a repo and walk away. EtherCorps still runs the system — shipping features, tuning the agent, and keeping the interface fast as usage grows. Because one person built the whole stack, there's no handoff seam between the chat UI, the agent, and the database when something needs to change.
Related
We take on a small number of projects at a time.
Tell us what you're building and where it hurts. We'll say honestly whether we're the right team for it.