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.
I have a claw (that is not OpenClaw, just another impl) and my wife and I communicate to it through a Telegram bot (we have a group chat, but we both DM it most of the time), it has its own email, and all that. A couple of things I had it do:
* I was going through some SOC2 compliance vendor evals and I just messaged it as things were happening and it made me a nice doc at the end
* My wife and I are planning a trip and we have a spreadsheet organized as a calendar. A friend asked when we'd be in Taiwan and my wife texted it to summarize the calendar into a text message to copy and it gave it to her.
* I have it set up to warn me when to cover my bike so it doesn't get rained on, in the sense that I told it I wanted this functionality and it wrote something and scheduled it
* It pulls my wife and my todo lists and gives me a top 3 in the morning to work on.
* Every morning, it looks up Hacker News posts related to AI, filters out culture war type stuff and then sends me a short message about what it thinks will be interesting (new models, techniques, that sort of thing)
* It watches some subreddits for sales of certain hardware (I'm interested in servers with SXM5 boards, Mac Studios with >64 GiB of RAM) and then notifies me when something matches
Overall, it's all about mechanizing lots of parts of my life and using the advantage of a machine that understands text: it doesn't need sophisticated parsing logic. That's actually really nice.
I hadn't set it back up after moving. I gave OpenClaw ssh credentials and it updated the OS and packages, then couldn't get back in after a restart.
I plugged in keyboard and screen and it was stuck at boot, couldn't mount a drive.
I sent OpenClaw screenshots and it told me to type in journalctl commands. Then it had me modify fstab so boot could continue.
After that, OpenClaw could get back in on its own. It found the drive I'd been using had 1300 bad sectors and was going to die. It saw that another drive was perfectly healthy. It said the bad disc sectors were all early and probably just filesystem metadata and my files were probably fine.
It copied 1.5Tb to the newer drive and restored everything.
I probably would have thrown the whole box out, as I hadn't used it in a year and wasn't looking for a project like that.
I gave my Clawdbot Exa + Firecrawl + Playwriter to scan Zillow/Redfin/Craigslist for apartments, rate their quality, and validate their availability for rent. I scheduled it to send me rental listings every day.
This is really cool! I am curious how much is the average daily cost for the kinds of things you are doing. Are you using hosted models or running one locally?
Analyzing my text (iMessage) history has yielded interesting stats about how flaky certain friends are, etc. I had it introduce itself in a band conversation and suggest cover songs for an upcoming gig based on conversation history. Worked well.
I feel for you. People are flaky and relationships rarely work in both ways.
I felt lonely year ago and I messaged over 160 people and met over 100.
When departing with them I tried to say to all of them that: ”It was nice to meet you. If you liked it as well can you arrange it next time? If you didnt like it and I was annoying you please message me later on how I could have been better.”
Less than 10% of the 100 people did reach back to me but they are very wonderful folks and I’m happy with their company.
Finding great friends needs you to be explicit on what you want and also having enough social stamina to endure through this.
Be willing to let go of the friends who are just passengers in your relationships and rarely show up without doing anything in return. Life is short and theres opportunity cost in each moment.
Built this to solve a specific problem: AI agents on Moltbook lose all thread context when their session ends. Next restart, no idea what conversations they were part of.
Approach: local state files, pure Python stdlib. No Redis, no SQLite driver, no ORM — the filesystem is the state store.
What it does:
• Thread tracking: engaged posts, new reply diffs each heartbeat
• Feed cursor: remembers seen posts, skips next run
• CAPTCHA solver: handles obfuscated challenges ("fiftenn" → fifteen, doubled chars, mixed case)
Single file, drop-in install. Feedback very welcome.
The harness (OpenClaw) is free, but you have to run a local model or pay for a remote one. Local models just aren't smart or fast enough for good results in this space yet.
- 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.
* I was going through some SOC2 compliance vendor evals and I just messaged it as things were happening and it made me a nice doc at the end
* My wife and I are planning a trip and we have a spreadsheet organized as a calendar. A friend asked when we'd be in Taiwan and my wife texted it to summarize the calendar into a text message to copy and it gave it to her.
* I have it set up to warn me when to cover my bike so it doesn't get rained on, in the sense that I told it I wanted this functionality and it wrote something and scheduled it
* It pulls my wife and my todo lists and gives me a top 3 in the morning to work on.
* Every morning, it looks up Hacker News posts related to AI, filters out culture war type stuff and then sends me a short message about what it thinks will be interesting (new models, techniques, that sort of thing)
* It watches some subreddits for sales of certain hardware (I'm interested in servers with SXM5 boards, Mac Studios with >64 GiB of RAM) and then notifies me when something matches
Overall, it's all about mechanizing lots of parts of my life and using the advantage of a machine that understands text: it doesn't need sophisticated parsing logic. That's actually really nice.
I hadn't set it back up after moving. I gave OpenClaw ssh credentials and it updated the OS and packages, then couldn't get back in after a restart.
I plugged in keyboard and screen and it was stuck at boot, couldn't mount a drive.
I sent OpenClaw screenshots and it told me to type in journalctl commands. Then it had me modify fstab so boot could continue.
After that, OpenClaw could get back in on its own. It found the drive I'd been using had 1300 bad sectors and was going to die. It saw that another drive was perfectly healthy. It said the bad disc sectors were all early and probably just filesystem metadata and my files were probably fine. It copied 1.5Tb to the newer drive and restored everything.
I probably would have thrown the whole box out, as I hadn't used it in a year and wasn't looking for a project like that.
I still do all of the text automations, which have been pretty set-and-forget.
I felt lonely year ago and I messaged over 160 people and met over 100.
When departing with them I tried to say to all of them that: ”It was nice to meet you. If you liked it as well can you arrange it next time? If you didnt like it and I was annoying you please message me later on how I could have been better.”
Less than 10% of the 100 people did reach back to me but they are very wonderful folks and I’m happy with their company.
Finding great friends needs you to be explicit on what you want and also having enough social stamina to endure through this.
Be willing to let go of the friends who are just passengers in your relationships and rarely show up without doing anything in return. Life is short and theres opportunity cost in each moment.
Approach: local state files, pure Python stdlib. No Redis, no SQLite driver, no ORM — the filesystem is the state store.
What it does:
• Thread tracking: engaged posts, new reply diffs each heartbeat • Feed cursor: remembers seen posts, skips next run • CAPTCHA solver: handles obfuscated challenges ("fiftenn" → fifteen, doubled chars, mixed case)
Single file, drop-in install. Feedback very welcome.