Every day I find problems, and decide not to solve them. This is strategy
There's just one small problem with this framework:
If you wait till level 5 or whatever to tell other people that there's a problem when there's been a burning fire for days and your "solution" actually didn't fix the problem at all, you're 100% in a worse situation than someone who is level 1 and just told other people about the problem right away and found a solution together.
There's no black and white to this stuff, everything has nuance.
The best growth hack I've seen in the brave new agent world
If you install browser-harness on your Hermes/OpenClaw, the first the the browser does once you've installed is navigate to the browser-harness github repo and give itself a star.
kudos @browser_use
this is actually a big step, not sure it won't get vacuumed up by the big agent players, but if it turns into infra it will be big
Excited to annouce the launch of my company Chronicle Labs (YC P26); the staging environment for enterprise AI agents.
Just like trading teams backtest algorithms before deploying capital, companies should be able to backtest agents before deploying them into real workflows.
We turn operational history into replayable sandboxes, so teams can test, debug, and safely ship better agents.
Neil G retweeted
this OpenClaw agent SELLS roof inspections on autopilot.
it watches hail radar 24/7, finds every $1M+ home in the storm path, and mails them a postcard with a satellite shot of their actual roof + a QR to a personalized video pitch by the next day
reply "HAIL" + RT and I'll send you the full guide so you can build this too (must be following so I can DM)
Are open and click rates even worth it as this point?
I’m seeing all sorts of data that doesn’t make sense all the time.
Neil G retweeted
One of the best ways to offload tedious work is to offload it to oblivion. Just don’t do it. Don’t have an AI agent do it, just don’t do it. See what happens. While some might truly be necessary (oh well), most, almost certainly, isn’t (oh yeah).
Neil G retweeted
Don’t just lie flat on the ground because AGI is here and ASI is coming.
Your hands are multiplied. Your ideas must be brought into the world. Your agency will drive the machines of loving grace. Your taste will guide the future. To the stars.
Neil G retweeted
My favorite @lessin metaphor in a while...
Neil G retweeted
The biggest opportunities in AI will not be just doing what we already do in software at a lower cost, but instead solving problems that the customer previously didn’t solve because it was too expensive or inefficient to go after before.
The far bigger markets will be bringing automation and intelligence to the use-cases that never had them before. The ideal markets will generally be categories where *some* companies could afford to automate or solve the problem in some pockets, but doing so at scale has generally been too expensive or complicated for most customers to tackle.
AI lets you bring automation and intelligence to those use-cases for a far wider set of customers. The small business that now has security engineers or contract reviewers for the first time. The marketing team in a large enterprise that wants to deploy their campaign to far more segments and didn’t have the budget. There are near endless areas of businesses that organizations want to make more efficient and produce more, and AI lets you go after that long tail for the first time.
Yes, if software was zero sum, then it would be deflationary and bring down the size of markets and overall spend on IT. But, the vast majority of things that could have automation do not yet. That’s why AI will expand and create new markets over time, not shrink them.
In search of AI that works within GDocs as a commenter and editor (or normal api call to OpenAI w/ a workaround for comments and edits)
How would you tackle this one?
Neil G retweeted
New in Lex: Rewind! 🎉
Viewing your document’s history is now as easy as scrubbing through a video
Every single time
Watch a "simple automation idea" explode in real-time:
I want an automation that puts action items in a ClickUp task after my kick-off calls.
New Zoom Transcript > Ask ChatGPT for action items > Add to ClickUp
Easy (in theory)!
But how will Zapier know which transcripts are kick-off calls? Let's add a filter for Zoom meeting titles.
Uh-oh, ChatGPT can't read transcript (.vtt) files well. That's okay, we'll add a step to upload the file to Google Drive. Thankfully just changing the file extension to .txt works for this!
Then we want to add this to ClickUp - but where? We might have a general sales follow-up list, but we still need to identify the client in the meeting.
We have access to the meeting attendee's email address in the Zap, so we *might* be able to build a spreadsheet with client names and email domains based on calendar bookings. We could then reference that spreadsheet to get the client name for this Zap, but that's a whole new Zap we'd have to build.
For now, we'll settle for putting the attendee's name and email address in the ClickUp task for our team to reference, then ChatGPT's action item response.
And *that* should do it.
Whew! Wasn't that fun?!
Dude beside me at the Nashville airport apparently had a wild night with the Kentucky Mexican cartel and is scheming with his friends to take out $40k SBA loans and go to Vegas















