The AI employee
Hire an AI employee that gets better as you correct it.
Brief it like a new hire. Connect the work it needs, see useful work and the evidence behind it, correct it in Chat, and use the proof to decide what to trust next.
How trust grows
One employee, from first brief to earned trust.
Brief it in Chat
Train one ready employee on the real job in plain language.
Connect the work
Give it only the Connectors and data that job needs.
See useful work
Start cautiously and let the employee handle a realistic job.
Review the proof
Inspect the evidence, risk, cost, and any exact work it held.
Correct the employee
Teach the same employee in Chat and see its Training change.
Decide trust next
Use the evidence to choose that Action’s setting; safety floors can still hold work.
How it works
You don’t configure it. You talk to it.
Tell the same employee what you need in plain language — the way you’d brief a new hire. It asks for the Connectors, rules, and trust boundaries the job needs. No flowcharts, no separate setup flow, no empty shell to assemble.
- Describe the job and train the employee in the same Chat.
- Connect only the tools and data that job needs.
- Keep related work on the same employee so context and trust compound.
Why Vavio is different
Correct it in Chat. See its Training change.
When a run misses the mark, correct the same employee in plain language. The correction becomes a visible rule or preference in Training memory, and the next similar run shows whether the work improved. You can inspect, edit, or remove it.
- Your correction changes the employee you already work with.
- Every learned rule or preference is visible and editable.
- Before-and-after evidence shows whether the next run improved.
Works where you work
Keep talking to the same employee wherever you are.
Start in Vavio Chat, then continue with your employee through email, Slack, or Telegram — one owner conversation, with the same context and rules.
Connect the real work
Connect the tools and data the job needs.
Choose from the searchable Connector library. Each entry says what it can and cannot do before you connect it, so a read-first Connector never quietly promises writes.
- Named supported Connectors for messaging, calendars, documents, data, and research.
- A governed API connection for a supported long-tail system.
- A proven Supabase/Postgres database path through the Data API.
Your data
Review the proof
Trust grows from evidence, not promises.
Review shows what the employee checked, why it acted or held, what was risky, what it cost, and what it learned. Use that evidence to choose the setting for one Action. Current safety floors can still hold work for approval when required.
- Set a trust preference per Action; current safety floors still hold risky or unproved work.
- Approve, edit, or deny the exact held work in Review.
- Use run evidence and cost — not a streak badge — to decide what to trust next.
Pricing
Start free. Upgrade when it’s pulling its weight.
Hire your first employee and see real work get done.
- One AI employee
- Channels & Connectors included
- Correction-driven learning
Scale AI capacity as the same employee takes on related work. Add another employee only when the job or permission boundary is genuinely different.
- Grow the same employee with related work
- Separate employees for genuinely different boundaries
- More AI capacity on every tier
Hire an AI employee today.
Free to start. Correct it in Chat, see what changed, and use the evidence to decide what to trust next.