Describe a task to your Aivell the way you would brief a new colleague. It asks until the goal is clear, drafts the chore in plain language, proposes guardrails and a schedule, and hands you the draft. Nothing runs until you approve — and the draft stays readable enough to check in a minute.
starts when: You describe a task to your Aivell in the chat
Everyone has a list of things that should be automated. Almost none of it happens, because the person who knows the procedure — how orders really get checked, who really approves what — is never the person who can build the automation. The knowledge sits with the office manager; the tooling sits with a consultant who costs money and needs a specification. Between them, 62% of employee time keeps going to repetitive work that everyone agrees a machine should do.
The specification is the real killer. Writing down a procedure precisely enough to automate it is itself a skilled, tedious job — so the backlog grows and the retyping continues.
The procedure that lived in someone’s head is now written down, reviewed, guarded and running — and writing it down cost a conversation, not a project.
No flowcharts, no code — a chore is just a message to your Aivell, in your own words. It shapes it into a solid, guarded procedure and follows it to the letter. This one:
listen to the task description; keep asking until the goal is unambiguous
check existing chores first — extend one rather than duplicate it
draft the steps in plain language, short enough to read in a minute
propose a guardrail for every tool the new chore would touch
flag anything that mails outside the company or moves money
suggest a trigger or schedule, but leave it switched off
send the draft to Luca; nothing runs before his yes
after the first week live, report what the new chore actually did
Connected with single-click passkeys — no copied tokens, no OAuth hell.
Every tool can be limited to exactly what this chore needs. For this one, you might set:
No. The conversation produces a draft, and a draft is inert by design — a guardrail keeps every new chore switched off until a human activates it. Talking about mailing customers never mails a customer.
On the box, next to everything else. The chores it drafts, the conversations that produced them, the knowledge base it checked — all onboard, behind your firewall. Your operations manual doesn't become someone's cloud data.
It can propose a change — say "the invoice chore should also handle credit notes" and it drafts the amended version. The same rule applies — the current chore keeps running untouched until you approve the new text.
Then you edit a sentence — the draft is plain language, not configuration. And because the first week ends with a report of what the chore actually did, a wrong rule surfaces as a line in a summary, not a surprise in production.
Expense, discount and purchase requests arrive pre-checked: case summarized, policy applied, one tap to decide. All prepared on your own hardware.
Every manual, contract and memo indexed on a box in your office. Your team asks in plain language and gets cited answers — nothing leaves the building.
Merge CSVs, convert files, dedupe exports — your Aivell writes and runs the script in a no-network sandbox on the box. Data in, result out, nothing else.
An Aivell is an on-premise AI colleague: a small box that plugs into your network, runs its own AI onboard and takes the repetitive work off your desk. Prompts, documents, data — nothing ever leaves your office. Unplug the internet: it keeps working.
You describe each task as a chore, in plain language. Your Aivell turns it into a solid, guarded procedure and runs it in the background — with guardrails on every tool, a complete audit trail, and approvals in your hand when you want them. One-time setup, fixed monthly fee. No tokens, no overages.
onboard inference · air-gapped · fixed monthly fee