The Open Enterprise AI Stack. Put frontier intelligence in every employee's hands and every business workflow.

Joined June 2026
people are now arguing about whether an agent should be allowed to approve the refund. a year ago the fight was over letting it answer the ticket at all, and nobody brings that one up anymore
When you have been in the game for 20 years... stopping agents to do work for the customer, is the same I have seen for such a long time. But they will not be stopped.
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Building an agent is easy now. Handing it to a client is the hard part. @ZooWorkAI lets you build one by chat (or with Codex or Claude and their SDK) and deliver it as a link, an API, or a Slack or WhatsApp bot. Your expertise, deployed in minutes: zoowork.ai/?utm_source=x&utm…
🤖 Made with AI
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3.8x on cost for five points of intelligence, and on everyday work those five points barely show. we route the boring stuff to the cheaper models, and that routing is where most of our model savings come from
Five frontier models now sit within five points of each other in terms of intelligence, but their cost per unit differs by 3.8x. Why could this be?
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10 years sounds about right from where we sit. getting an agent to run inside someone's actual POS system for months is where most of them stall out.
You can pause frontier research today, and it would take AI another 10 years to diffuse into the economy. We're working with solutions partners to accelerate that.
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In retail, your AI agent can look up a customer’s order, but should it also be able to issue a refund? Here’s how we decide what an agent can see and do:
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Data access and permissions belong in the solution design, and the client’s own systems should enforce them. Human approval is one gate. It does not replace backend authorization.
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Where does your team draw the line between what an AI agent can do on its own and what needs approval?
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A stylist that knows your closet. A bot that reads every filing before the market opens. How much can you ship between breakfast and 6 PM? Nov 7 · NYC · with @AITinkerers · $100 in credits per builder · 100 spots Apply 👇 nyc.aitinkerers.org/p/fashio…
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Before we build an AI agent, we agree with the client what “done” looks like. Here’s why, and what we agree on before any code gets written:
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A demo proves the happy path. Acceptance criteria determine whether the system should scale, keep piloting or stop.
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What’s the first thing you’d want agreed before an AI agent touches your business systems?
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