Clones join your organization like employees. Each one takes a real role with areas of responsibility, works your channels — email, phone, SMS, Slack, Teams — and reports the KPIs, engagement, and value it creates. You stay in charge; they do the work.
Deploy them into the channels your organization runs on.
Every clone carries a job description: named areas of responsibility, the skills to own them, and the KPIs it answers for. Your Commander learns your goals and recommends the right hires from the marketplace — one click, and the new clone leads its own onboarding.
Every clone reports to a dashboard — who's working, who's blocked on you, and the value each one is creating. Every skill it runs lands in an execution log you can open from any chat.
We have hundreds of pages of contracts and specs per job. Now I just ask our clone what the payroll rules or the spec for a scope of work are, and I have the answer in seconds instead of digging through PDFs.
Todd M.CFO, Precision ManufacturingWe invited the clone into our meeting expecting a gimmick. Fifteen minutes later everyone was just asking it questions. It had the answers point by point, faster than any of us.
Bill J.HomebuilderIt's become part of how I work every day. Prep, follow-ups, research, first drafts. I hand it off, review it and move on. It's like adding a teammate who never drops the ball.
Tom H.Product Development ExecutiveDescribe the skill in plain language. SkillForge researches the API, architects the toolset, writes the code, trains the operator, deploys a real container, tests it the way your users will — and repairs itself until the tests stop teaching it anything. Built for developers; loved by anyone technical enough to watch the build narrate itself.
Yes, frontier models run under the hood — the difference is the factory around them. Eight specialist stages (research, architect, planner, author, reviewer, DevOps, tester, analyst), each in a fresh context, handing signed artifacts down the line.
Every skillset ships with a trained operator — a failure-hardened instruction layer that routes natural language to the right tool. The test harness drives the exact instructions that ship to production.
Four layers: syntax, pytest, live HTTP against the deployed container, then an AI acting as your user — with real credentials, no mocks. Failures trigger bounded repair rounds: re-author, redeploy, re-test — stopping only when the loop proves there's nothing left to learn.
One click: image built, service deployed, verified, semver-tagged, registered to your org. Memory sized automatically. No YAML, no pipelines to babysit.
A GitHub App opens a pull request in your repo for every version, authored as you — the Python, the operator instructions, and every stage's documentation. Your git history is the version archive.
OAuth is vended by the platform at runtime; skills read named variables. Deploys are blocked if code reads a connection nobody declared.
Stand up your org and hire clones into real roles — your Commander runs it with you.
Each clone learns your mission, your culture, and the skills its role demands.
Wire them into your humans and your customers — phone, SMS, Teams, Slack, email, and more.
Power, engagement, KPIs — every action on the record. Expand what works.