What if your AI kept working after the task was done?

Every AI tool I used had the same shape: I typed a prompt, it did something clever, and then it waited for me. For one-off questions that's great. But most of the work that eats a week isn't one-off. It's the inbox that refills overnight, the checks that need doing every morning and the research that goes stale a week after it's written.

I've been writing C# and .NET for 20 years, and for the last year I've delegated whole pipelines to Claude. Once you've watched an AI carry a pipeline end to end, going back to prompting it one task at a time feels wasteful.

So I built Jugg.ai to bring that delegated pipeline to every part of a business, not just code: hand a whole function to an AI team and it keeps running without you.

Jugg.ai is live. Set up your first AI team free, hand it a job, and watch it run.

Hand over a job, a department or a company

You can start small and grow:

• One team. Give it a standing job, like "triage the support inbox" or "keep a competitor brief current". It works through the job, picks up new work as it arrives, and remembers what it learned for next time.
• Several departments. Support, ops, research and content, each with its own team, budget and memory, all working at once.
• A whole company. Give a CEO agent a mission. It sets up the departments, staffs and funds them from your budget, and keeps them running 24/7. You check in instead of prompting.

It's the same dial at every size.

What "keeps working" looks like

The difference from a chatbot is that you don't have to come back and ask:

• It notices new work. Put a team on call and it watches your inbox, tickets and tools, and starts on a new email, ticket or issue the moment it lands.
• It carries the job through. It works to a finished result, not one step at a time.
• It asks when it should. When a team hits a real decision, it brings that one question to you instead of guessing or going quiet.

Connected to the tools you already use

Close to a hundred services connect with a single sign-in: Gmail, Outlook, Google Calendar and Drive, Slack, GitHub, Notion, Linear, Jira, Stripe, PayPal, Help Scout, Calendly, Zapier, Supabase, Sentry, PostHog and many more. Anything else works too: any API with an OpenAPI description, or any MCP server.

Connect a tool once and every team can use it. You choose, per connection, how much a team may do on its own: ask before any change, ask only before something critical, or full access with no questions.

Teams that meet

When work spans teams, they meet. Pick the teams (say support, engineering and growth), say what needs deciding, and they talk it through at one table. You can watch it live, drop in a note and read the transcript afterwards.

Every meeting ends with decisions and a job for each team that agreed one, and a job can wait for another team's result before it starts. Teams also call meetings themselves when they need another team to agree something.

It learns your business first

Import your help centre or docs site by its address, or upload PDFs and Word files, and every team reads them before it acts. Importing again picks up what changed. When a team finds something missing or out of date, it drafts the fix for you to approve, or asks you to import the source it needs.

The Support Desk team starts exactly that way: it studies your docs, code and past tickets, proposes a knowledge base for you to approve, and then starts answering customers.

It builds what it needs

When a team keeps doing the same thing, it builds its own tool for it: a function, a report, or its own data tables. You approve each one before it runs, and a team can put them on a schedule, so the weekly summary just appears.

Memory that lasts, and is shared

Most AI tools forget everything when the chat ends. Here, memory is the point:

• Long-term memory. Every team keeps a memory that outlives any single job: findings, decisions, what worked and what didn't. When a job finishes, its report goes into that memory, and the next job starts from it. Nobody re-explains your product, your customers or last week's decisions.
• Group memory. The memory is shared by everyone on the team, so what one agent learns, the others can use. That's how a team stays coordinated without you in the middle.
• It compounds. The longer a team runs, the more it knows about how your business actually works, so week three is better than week one.
• You stay in charge of it. You can see what a team has remembered and delete anything you don't want kept.

Staying in control

Letting AI run unattended only works if you can trust the limits, so control came first:

• Hard budget caps for the company, each team and each job. A team that reaches its budget stops; it doesn't send you a surprise bill.
• A kill switch on every team.
• Approval before anything risky. By default, agents ask before sending email, inviting people or deleting things. You decide how autonomous each team and each connection is, all the way up to fully hands-off.
• Your own model key. You bring a key from Anthropic, OpenAI, xAI or DeepSeek and pay them directly. I never mark up tokens.
• Your data stays yours. Each organisation's data is kept separate and credentials are encrypted. Nothing is used to train models.

Built for the work that keeps coming back

Jugg.ai is made for work that never stops arriving: support queues, ops alerts, research that needs keeping current, content calendars and the monthly books. It's free to sign up and you pay as you go, or pick a plan when you're running several teams at once.

What I'd love to hear

If you could hand one recurring job to an AI team tomorrow, what would it be? And would you start with one job, or hand over a whole department?

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.