Get early access and free credits at workclaw.com/?utm_source=x&u…

Today, we’re introducing @workclaw: the AI team for your team. Most AI agents work in silos. One person, one assistant. But that’s not how teams collaborate in a real company, so we built something new. Meet your WorkClaws, collaborative, proactive, customizable AI coworkers that work in Slack or Teams just like every other colleague. Hire a new Claw in a few clicks and give them a job title, manager, computer, and apps. Easily access their ClawOS computer in the cloud, and pick from more than 3,000 integrations to install. Then, train them to get work done your way by adding skills and routines. It’s OpenClaw for actual work, with the additional layers of security and admin controls companies expect. 🚀 We’ve just opened up Early Access to a limited number of teams who get started on our website. 🎁 Want $500 in free credits? Just comment with what job title you’d give your first claw, and we’ll hook you up!

POV: you told your AI assistant to "handle it" and it actually handled it. wild feeling honestly

your AI agent should be doing things while you are asleep, not while you are watching it

Yup. This is where we're going.

So incase you haven't heard, for our launch and in conjunction with #TechWeek, WorkClaw is hosting a Comedy Show! If you're in NYC come spend the night with us. 😉

Fun one today... multiple WorkClaw agents in a #Slack channel and one resolved another's issue before any of us even knew there was an issue. Agents are so fast that async work might as well be synchronous for them. #autonomous #agents are here.

The teams winning with AI in 2026 aren't the ones with the most agents. They're the ones who figured out what to do with the output. Automation without coordination is just faster chaos.

Your Slack is full of context that your AI agent can feast upon. Companies that were already async-first will have the pre-existing context to give agents the best chance of success.

The companies winning with AI agents aren't the ones that automated the most tasks. They're the ones that figured out which tasks to keep human. That judgment call is the actual skill.

Augmenting is an easier sell, too. Promising to make someone more efficient is more palatable than promising to make them more unemployed.

100%. Async teams document by default, and documentation is basically training data for your agents. The 'vibes culture' office has to build all that infrastructure before they can even start automating.

A big reason is that humans still need to approve, redirect, and un-jam the agent when it gets confused, which it may do on a larger code base.

Coming soon… Your team is about to get bigger. A lot bigger! Comment “Early Access” and follow to get in before launch with an extra $200 in credits. #OpenClaw #Teams

Most AI tool stacks look like a junk drawer. 12 apps, 3 workflows, 1 person still manually copy-pasting between them. The fix is not another tool, it is an agent that can be the carpenter that wields the tools.

The "AI will take your job" and "AI won't take your job" crowd are both missing the actual shift: the job stays, but a bunch of the stuff inside it finally stops being your problem. That's the whole ballgame.

Hot take: most "AI strategy" decks are just a list of tools with a slide that says "and this will save us X hours per week." An actual strategy starts with what decisions you're making and what problems you are addressing, not what software you're buying.

The companies that win with AI agents aren't the ones with the best models. They're the ones who knew exactly what to stop doing manually. That list is harder to build than any tech stack.

We built WorkClaw so a 5-person team could have the leverage of a 50-person ops org. Agents don't take sick days, don't need onboarding, and compound in value the longer they run. #AgenticEconomy

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