DEV Community

Cover image for Most AI agents work alone. Mine hold meetings.
Jugg.ai
Jugg.ai

Posted on

Most AI agents work alone. Mine hold meetings.

Most AI agents work alone. You give one a task, it does the task, and it hands the result back to you. That's fine for a task. It falls apart the moment the work belongs to more than one part of the business.

Real problems don't respect team boundaries. A spike in refund requests is a support problem, an engineering problem and a billing problem at the same time. Somebody has to get those three in a room, agree what's going on and decide who does what. In most companies that somebody is you.

Jugg.ai gives every function its own standing AI team: support, engineering, ops, growth, finance. When work crosses between them, they don't wait for you to relay messages. They meet.

Jugg.ai is live. Set up your first AI team free and give it a job today.

A meeting you can watch

Pick the teams, say what needs deciding, and their leads talk it through at one table:

  • You watch it live. Every contribution appears as it happens, and you can drop a note into the room to steer the discussion.
  • It ends with decisions, not chat. Every meeting closes with a summary, the decisions made and a job for each team that agreed to one.
  • Jobs can wait on each other. If billing needs engineering's fix before it refunds anyone, billing's job waits for engineering's to finish, then starts with its report in hand.
  • There's a transcript. Read it afterwards, download it, or show it to the people it affects.

Teams call meetings themselves

You can call a meeting whenever you like, but you don't have to. When a team needs another team to agree something, it calls the meeting itself.

For example, imagine support notices that a third of this morning's tickets are about being charged twice. Its lead calls a meeting with engineering and billing:

  • Engineering takes the job of finding and fixing the duplicate-charge bug.
  • Billing takes the job of refunding every affected customer, waiting for engineering's fix so it refunds the full list once.
  • Support takes the job of replying to everyone who wrote in, and proposing a help-centre update you can approve.

You find out from the summary, not from a pile of tickets.

You decide how much it does on its own

Coordination only helps if you can trust it, so the controls come first:

  • Agreed jobs can wait for your OK. Choose whether the jobs a meeting agrees start straight away or wait for you.
  • Anything risky asks first. Refunds, emails to customers and deletions wait for your approval unless you've given that team or that connection full access.
  • Hard budget caps on every team and every job, plus a kill switch on every team.
  • Your own model key. You pay your AI provider directly, and Jugg.ai never marks up tokens.

From one team to a whole company

Meetings are what let this scale. One team handles one function. Several teams that can agree with each other handle a business. Give a mission to a CEO team, and it sets up the departments, funds them from your budget and lets them coordinate, while you sit on the board instead of running every meeting yourself.

Each team also brings what it knows to the table. Teams remember what they learn, read your docs and policies before they act, and connect to the tools you already use, close to a hundred of them with a single sign-in.

What I'd love to hear

Which two parts of your business spend the most time waiting on each other? That's where your first AI meeting should be.

Start free at jugg.ai: sign up free, pay as you go, bring your own model key, and set a hard budget cap. Your first team takes about two minutes to set up.

Top comments (0)