RaabtaHQ

Operate

Agents that work on their own

Wakes up, does the work, asks you when it matters

Give an agent a job and a time. It wakes up, works, splits the load when the job is big, and stops to ask you before anything you would want to check.

  • Starts on a schedule, on an event, or on a button
  • Splits big jobs across helpers that work in parallel
  • Parks and asks a person, then carries on with the answer
  • Shows what it did in plain language, not logs
AI activity in RaabtaHQ: every conversation an assistant has handled, with its cost, status and how long ago it ran.

A screenshot of the running product. The names and numbers are invented; the software is not.

01 / 05

It no longer waits to be messaged

An agent used to need a customer to say something first. Now it can start every Monday at nine, or the moment a deal reaches a stage, a contact is created or a booking changes — or when you press a button. Nothing about the job has to involve a customer at all: reviewing last month’s ad spend is a perfectly good thing to give one.

  • Recurring — daily, weekly, monthly, at a time you choose
  • One-off — once, at a date and time
  • On an event — a deal moves, a contact arrives, a booking changes
  • By hand — a button, for the ones you want to watch

02 / 05

It stops and asks you, instead of guessing

When an agent hits something only a person can settle, it parks the job and puts the question in a queue — an approval, a choice between options it has already narrowed down, or a plain question. Answer it and the job carries on from exactly where it stopped, with your answer folded in. Every question carries a deadline and a stated fallback, so silence never gets read as approval.

  • Approve, decline, choose one, or type an answer
  • A live countdown, and a fallback you set in advance
  • Who may answer depends on what is being asked
  • Keyboard triage when the queue is busy

03 / 05

Big jobs get split across helpers

When a job has parts that do not depend on each other, the agent hands each part to a helper that works on it separately and reports back — all at the same time, rather than one after another. It decides what to split, at the time. There is no flowchart to draw and no boxes to connect.

  • Helpers work in parallel, then hand their findings back
  • Each helper gets only the tools it needs, never more
  • Helpers never message customers — they cannot
  • One spend limit covers the whole job, helpers included

04 / 05

And it tells you what it did, in words

Every run reads as a short story — “Asked you a question”, “Split the work into three pieces”, “Booked Tuesday at 2pm” — with no jargon and no log lines. The full technical trace is one click away when something needs debugging, but nobody has to read it to know what happened.

05 / 05

Nothing gets stuck, and nothing runs away

A job that waits too long gives up and carries on with what it has. A helper whose parent has finished is called off rather than left running. Costs are capped per run and across the whole account, and a run that crashes is picked up and retried rather than lost.

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