Product

Agents that work the way your team does.

DoubleOh is where your team works next to its AI agents: watch them on a practice copy, fix what they get wrong in one click, and every fix becomes a lesson they keep.

See it in action Read the docs

An agent pauses before posting a vendor bill in Odoo; the team fixes the chair line and the agent keeps the lesson.

One loop, from first try to trusted.

An agent earns its freedom task by task, the same way a new hire does.

Try it on a copy

Describe an agent or connect yours, give it a task. It works on a practice copy of your system, so nothing real moves.

Watch it, live

See its screen and what it's thinking, in plain sentences. Anyone on the team can join and leave it a note.

Step in

Before anything it can't undo, it stops and shows you the difference. Approve, fix the numbers, or take the wheel.

It keeps the lesson

Your fix becomes one sentence it follows from the next task on, for every agent doing that job, on any model.

Everything a team needs around an agent.

Live roomThe agent's screen, its steps and who's watching, in one place. Share the link with whoever owns the process.

Stops before it can't go backPayments, posted bills and sent emails wait for a person, who sees what would change before it does.

Fix it, don't redo itChange the amount or the line right in the card, or take over the browser and hand it back where you left it.

LessonsEvery undo, fix and note drafts a lesson. Keep it for every agent on the task, or just this once. Edit or retire it any time.

Trust, earned per taskWatched, then supervised, then trusted, after a clean streak and one click from a person. A mistake drops it a level.

Rules in plain words"Refunds over $500 need finance." "Never change bank details." Checked on every action, at every trust level.

Practice copiesReal screens of the systems your agents use, with the same rejections and checks, so the first mistakes cost nothing.

A ledger you can show an auditorEvery action, who allowed it, what changed and why, with signed exports.

Any model, any frameworkOne base URL and a header. Claude, GPT, Gemini, Mistral, your own. Self-host the whole thing if you prefer.

Already have an agent? It's one line.

Point your model client at DoubleOh and name the agent. Its tool calls show up live, risky ones wait for your team, and the lessons ride along in its prompt. Nothing else in your code changes.

Quickstart

const client = new Anthropic({
  baseURL: "https://api.doubleoh.ai/v1/proxy/anthropic",
  defaultHeaders: {
    "x-doubleoh-key": process.env.DOUBLEOH_API_KEY,
    "x-doubleoh-agent": "ap-clerk",
    "x-doubleoh-irreversible": "confirm_bill",
  },
});
// the rest of your agent stays exactly as it was

See an agent learn in 90 seconds.

An AP agent enters a vendor bill in Odoo, catches a mismatch, takes a fix from the team, and keeps the lesson.

See it in action Pricing