Make agentic AI accessible to everyone — so every company can capture, protect, and grow the know-how that makes it valuable.
Coding changed who could build software. Demonstration changes who can build an automated workforce. Just as vibe-coding put software in everyone's hands, vibe-working puts a tireless coworker in yours — and turns your team's hard-won expertise into something you own, and keep.
The people who know the work can't code the work.
Around a billion knowledge workers spend ~30% of their day on the same browser chores — pulling a report from a portal, copying data between an ERP and a CRM, reconciling an invoice, cleaning an inbox. They know exactly how to do it. They just can't automate it.
Even "no-code" tools (Zapier, Make, n8n) still demand technical thinking. And cloud AI agents ask you to hand over your passwords and send your data — and your know-how — outside your walls.
Teaching is natural.
Coding is not.
Every day we explain procedures to colleagues — "go to this site, click there, copy that, send it there." It's natural language, not code. Until now, turning that into automation meant developers, scripts, and constant maintenance. Tasks.AI removes the translator. You don't script it, diagram it, or prompt-engineer it. You show it — the way you'd train a new teammate — and it learns.
We all know how to explain how we do something. Why can't machines learn the way we teach a colleague? Now they can.
Show it once. It works forever.
Two ways to put it to work: ask it to do a task once, or — for the work you repeat — teach it by showing it. Teaching takes three steps:
Not a concept. A working system.
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Meet your digital coworkers.
A digital coworker doesn't replace you — it works with you. You bring judgment, creativity, relationships, the exceptions. It handles the repetitive, the 24/7, the perfectly-consistent. You review and approve; it executes and reports back.
Inspired by Kahneman's Thinking, Fast and Slow. Skills are System 1 — fast, atomic, reusable (read an inbox, fill a form). Tasks are System 2 — deliberate, multi-step (reconcile three ERPs, prepare a board pack). Complex work gets done by composing simple, proven skills.
The machine does exactly what you taught it.
Most AI agents start with a model and hope it does what you meant — a black box you can't see or repeat. Tasks.AI starts with trust: you taught it, so it's your procedure; you can watch every step; it's checked; it's the same every time.
A company's real value isn't its software. It's what its people know how to do.
That know-how lives in people's heads. It walks out the door when they leave. It's hard to pass on, harder to scale — and in an age of cloud AI, easy to leak. We built Tasks.AI to help you keep it. Every procedure your team teaches becomes a skill you own — captured, documented, and ready to run.
Built for the work that runs the business.
If a person can do it in a browser, you can teach it to Tasks.AI.
An app store for work. coming
The skill you teach today is an asset. Soon, the best skills travel — share them across your company, or publish them to a marketplace where expertise gets paid for, by the run.
Creators turn expertise into income. Companies adopt proven solutions. Everyone's know-how compounds.
Some work is too messy for APIs, too changeable for RPA, too sensitive for the cloud. That's the work we built this for.
Where others ask you to trust a model, we let you trust a procedure — one you taught, can see, and can repeat.
We're building the operating system for digital coworkers.
The expensive part of intelligence is learning. We pay it once, then run for free — so automation finally reaches everyone's work, not just the parts with an API. This is the augmentation of a billion knowledge workers. Today, the browser. Tomorrow, the physical world.
We're not here to replace people. We're here to give them superpowers — and to help every company protect what it knows best.