Jon
421 posts

Jon
@jonathanmaestas
Engineer and Founder of @Player1Training — AI-powered sports coaching that helps athletes train smarter.
Katılım Ağustos 2010
551 Takip Edilen127 Takipçiler
Sabitlenmiş Tweet

@SouthDallasFood Molcajete! My go to when we have a night out for some Mexican.
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> be roblox
> launch a gaming platform
> 70M daily active kids click their screens to hatch virtual pets
> every click is actually a proof-of-work hash calculation
> harness planetary-scale compute to brute-force crypto wallets
> pay the labor with digital hats
CG@cgtwts
> be niantic > launch Pokemon go > 500M players scan real-world places while playing > scans turn into 30B geo-tagged images > niantic builds a 3D map of the world > robots and AR apps use it to navigate within centimeters without GPS this is actually insane.
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@SportsCenter @PeteThamel just change the background image to wood.
no one would know.
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@jonathanmaestas validation. the agent does its thing, then the script checks the output before it goes anywhere. stuff like "does this have the right format" or "did it actually include all 5 sections i asked for." if the check fails the agent has to redo it. examples coming in a thread.
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your OpenClaw agent is ignoring half your instructions and you probably don't know it.
Anthropic's new skills guide confirms what i learned the hard way - language instructions drift. you tell your agent "always validate the output" and it skips it 40% of the time.
the fix is stupidly simple.
write a script instead.
a 10-line python file that checks the output beats a paragraph of instructions every single time. code is deterministic. language isn't.
i moved all my critical checks from instructions to scripts inside the skill folder. overnight difference. the agent stopped cutting corners because it couldn't - the script either passes or it doesn't.
if your agent is producing inconsistent results, this is probably why. stop asking it nicely. make it mandatory.
i can drop a thread on this to teach you how to do this!
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Cool chart showing the ratio of Tab complete requests to Agent requests in Cursor. With improving capability, every point in time has an optimal setup that keeps changing and evolving and the community average tracks the point. None -> Tab -> Agent -> Parallel agents -> Agent Teams (?) -> ???
If you're too conservative, you're leaving leverage on the table. If you're too aggressive, you're net creating more chaos than doing useful work.
The art of the process is spending 80% of the time getting work done in the setup you're comfortable with and that actually works, and 20% exploration of what might be the next step up even if it doesn't work yet.

Michael Truell@mntruell
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Google just dropped an official CLI for gmail, drive, calendar sheets and more
Adding it to my openclaw right now
Addy Osmani@addyosmani
Introducing the Google Workspace CLI: github.com/googleworkspac… - built for humans and agents. Google Drive, Gmail, Calendar, and every Workspace API. 40+ agent skills included.
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@AlexChhk @marshallrichrds got it going.
he's the one who got me to buy one of these phones to tinker with. cheaper than a pi and nearly as good.
Marshall Richards@marshallrichrds
I gave ClawPhone a phone number so it could start texting people and turned it into an appointment scheduler. Agent-controlled hardware is definitely the future.
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@jonathanmaestas oh nice and can it do things like access other app data (e.g your photos etc or even like your browsing history and stuff) this way?
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