Give Inself a goal. Get results.
You type a business goal. Inself reverse-engineers it, does the work, checks its own work, and keeps going — until you have the result.
That's the whole interface. You don't tell it how. You tell it what you want.
You don't pick a tool. You don't configure anything. You name the outcome — Inself works out everything between here and there.
One night inside Inself — the plan, the work, the self-correction, the result.
You gave it the goal. It figured out the work.
Inself isn't a team of bots you have to manage. It's one intelligence, surrounded by everything it needs: the best models for each job, the tools to do the work, the knowledge to decide, and a loop that checks and improves its own work.
You never touch any of it. You set the goal. The system does the rest.
Under the hood, Inself is a universal computer-use agent surrounded by a system of models, tools, databases and evaluators. The system continuously supplies the agent with context, instructions and knowledge, then reviews the agent's output against your objective and routes deficiencies back for revision — a closed loop, not a one-shot prompt.
This is why it is not a shelf of single-purpose agents you have to hire, configure and manage: there is one intelligence to direct, and the orchestration is our problem, not yours. Models are selected per task; tools are granted per plan; every run is logged and reviewable from your cockpit.
Your data is encrypted in transit and at rest, and is never used to train models.
Real goals, executed by Inself. We don't publish testimonials — we publish work.
Chat ends when you stop typing. A goal doesn't. Inself works, checks itself, and keeps going until the result is there — or you tell it to stop.
Every piece of work lands in your cockpit, logged and inspectable — nothing happens in a black box.
Drafts wait for your approval by default. Nothing is sent or published until you say so.
Grant more autonomy per goal when you're ready — your choice, changeable anytime.
Autonomy without losing control.
No. You don't need to know what an agent is, how prompting works, or which model to use. You describe what you want. That's the whole job on your side.
A chatbot answers the message in front of it and waits. Inself takes your goal, works out the steps itself, uses real tools to do them, checks its own work, and keeps going — for days, months or years, even if you never chat with it.
You enter your email and land in your cockpit. Inself asks any clarifying questions, reverse-engineers your goal, and builds the plan. You approve it, work begins — your first result lands in about 3 minutes.
Not by default. Drafts wait for your approval. You can grant more autonomy per goal — your choice, changeable anytime.
Your first result lands about 3 minutes into onboarding. Bigger goals compound from there.
It researches alternatives, changes approach, and asks you only when your judgment is genuinely needed.
Yes. No contracts — cancel from your cockpit in one click.
Encrypted in transit and at rest. We never train AI models on your data.