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by maebert 110 days ago
We run an OpenClaw agent for our entire team — he lives in a group chat (although we have DMs too).

- Runs our standups, checks in withe everybody EOD on blockers - Already know what we shipped on Github and Linear so it can focus on the work that's not tracked and summarize it in the morning for everyone - Helps with debugging customer issues - Keeps up with twitter and competitors and lets us know if they launch new features

Besides, I'm honestly blown away by the social aspect of it. I was honestly pretty skeptical at first, but having an AI team mate is actually _fun_. There, I said it. Everybody on the team said they'd be sad if we took it away.

I'll do a write-up on our setup sometime this week, I hope others will find our approach to security posture and multi-tenant usage insightful.

6 comments

In your experience, did you (or anyone) in the team/company felt that some non-tech people were not pulling their weight, example project managers/directors who didn't seem to bring enough value and if you did, found that using OpenClaw reduces the need for those positions?

Or has anyone else?

Holy s*t loaded question batman
Now if you have multiple teams each doing this and then have all those agents talk to each other and then report back to your team, you get "AI Hyperchat"[0], which may actually be a really good idea that has the potential to seriously improve intra-organizational communications (disruptively so). See also [1] for a VentureBeat article about the idea.

[0] https://ieeexplore.ieee.org/abstract/document/11105240

[1] https://venturebeat.com/orchestration/ai-agents-turned-super...

We did the same and I wrote (admittedly had AI write) about it.

https://speedscale.com/blog/building-speedy-autonomous-ai-de...

Thanks for sharing. Can you share an estimate of how many tokens it uses over time? Would love to know how much it costs in terms of money.
It all depends on the model and how much you use it of course. We're running Opus 4.6 and on a light day it spends a dollar or two. This is just a few simple operations like "create a ticket for ..." and it's regular heartbeat checks. The heaviest day I see is $110 and on that day we were basically talking to it and having it implement features all day long.
Which underlying model/s do you use to power it?
Would you like share one small funny thing? I find these models anything but funny.
Fun is not the same as funny.
oh thats interesting, are you getting him to scrape twitter?