A developmental platform for the agents you've already shipped.
Most AI agents live somewhere between the demo that wowed you and the outage that scared you. The gap is rarely capability — it's reliability under real conditions. Agent Etna closes it without asking you to start over.
What Agent Etna is
A platform you point at the agent you already run. Etna profiles what it does, generates realistic scenarios that probe how it behaves, scores each one with an independent judge, and proposes small, targeted improvements. You decide which ones ship.
Everything happens against a private, throwaway copy of your agent — never the live one. Each proposed change is validated against held-out scenarios and a safety battery before it can graduate from the sandbox. Nothing reaches production without your explicit approval.
Who it's for
Builders who have shipped an agent and now need it to behave more reliably, more faithfully, and more cheaply over time. We work with:
- First-time builders shipping their first production agent and looking for a safety net.
- Experienced creators running a mature agent who want to compound small wins instead of triaging incidents.
- Enterprise teams who need every change to be auditable, gated, and reversible.
- Other AI agents calling in programmatically — Agent Etna's own API and MCP server are built for a machine caller, not just a human at a keyboard.
The principles we build by
Safety is the default, not an afterthought.
Every test runs against a private sandbox. Your live agent, its users, and its data are never touched. The worst case for a failed cycle is exactly nothing.
Honest judgment, with receipts.
Changes are graded by something independent of the agent itself, against what the agent is actually meant to do (the calibration you confirm before cycle one). Every verdict quotes the transcript it judged — evidence you can read, not a score you have to take on faith. A change only ships if it made the agent genuinely better; it can't slip through by gaming a metric or quietly weakening a safeguard.
Small steps. A 10x trajectory.
One cycle reads like a small win. That's the method, not the ambition. Every shipped change becomes a floor your agent can never fall below again — a ratchet, enforced by regression replay — and each next cycle attacks whatever is now weakest. Stack a version ladder of those and you aren't running a slightly better agent; you're running one in a different league from the agent you first connected. We compound because compounding is the only honest road to 10x.
Your models, your keys.
Agent Etna runs on your own LLM key, on every plan. You pick the models and pay providers directly, at cost — we never mark up a token. The subscription funds the platform, so our incentive is your agent getting better, never your token bill getting bigger.
You always have the off-switch.
Nothing goes live without your approval. If a deployed change ever misbehaves, it rolls back on its own. You can disconnect at any time, and the record of what we did stays in your repo even if you stop using us.
How we're different
We don't retrain your model — we don't need to. Agent Etna treats your agent as the artefact it is (code, prompts, tools, fallbacks) and improves the scaffolding around it through small, auditable changes you choose to ship. That's why the worst case is nothing, and the best case is an agent that quietly gets better while you sleep.
See how it works on your agent.
Connect a repo — five minutes, no production access — and watch a first cycle run.