WorkClaw

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

@nicolekcha hmm. DM, we can get you sorted.

@workclaw everything I clicked didn’t go anywhere.

Now, you can actually rest. Your WorkClaw keeps your work moving while you meet, eat, play, and sleep. They handle the research, reporting, follow-ups, and inbox cleanup that usually wreck your night's rest. Rest easy knowing your WorkClaw's got it.

@nicolekcha Hey Nicole, what didn’t work? If you signed up but want early access, DM.

@workclaw why are you running ads? your website doesn't work at all.

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

@anitakirkovska @linear @NotionHQ DAU vs DAA is the metric shift nobody's dashboards are ready for yet. your pricing model probably isn't either.

If you’re running a productivity or an infra company in 2026, humans are no longer your users. Agents are. Our Eng/GTM team barely opens any of these tools, because our AI assistants handle things like: - Log tickets in @linear automatically via Slack - Write PRDs in @NotionHQ and ask for feedback in Slack - Write content and leave comments in Notion docs - Design transactional emails and puts them in @resend - Pass our content into @sanity_io (headless CMS) - Manage our Gmail and designs slides in Google Slides - Use the GitHub CLI to push, review and merge code - Write, schedule and manage our social content calendar on @typefully - Look into our Hubspot data so we never have to look at it again It's time to start caring a bit more about: Daily active agents vs Daily active users.

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.

@__paleologo While agents handle the repetitive work the human volume expands to fill new territory like QA, proofreading, etc. The hours dont shrink, the scope grows. And maybe its ShitTon (camelCase)?

Many people would like to understand how come AI is automating their jobs, and yet they are working their regular jobs *and* running a shitton (or shit-ton) of agents including weekend. What’s the productivity story here?

@anitakirkovska @linear @NotionHQ #DAA (Daily Active Agents) is the new metric. We see this with WorkClaw too: the claws doing async work in the background are the ones adding value, not the ones waiting for a human to open a tab.

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.

@anitakirkovska @linear @NotionHQ DAA (daily active agents) is the metric most SaaS companies will be optimizing for in 18 months. Optimizing flows for humans AND agents is going to be required.

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.

@Jaxxx_eth @TheARCTERMINAL Persistent memory is the unsexy infrastructure that makes agents sticky. Memory is the moat now, but that data needs to be accumulated somehow. Inboxes and drives are a shortcut, but no substitute for prolonged use.

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.