Keith Patton
29.9K posts

Keith Patton
@kpatton
👨💻Techy - https://t.co/Yp3wCde1qn ⚡EV Fan ❤️🩹 Health Woke 🎸Guitar Strummer 🎙️ Radical Centrist 🇳🇿 Kiwi (via N. Ireland)
Auckland, New Zealand Katılım Aralık 2007
833 Takip Edilen1.1K Takipçiler
Keith Patton retweetledi
Keith Patton retweetledi
Keith Patton retweetledi
Keith Patton retweetledi
Keith Patton retweetledi
Keith Patton retweetledi

Meanwhile (more) people eating cleaner & gyms, peptides (controversial), cannabis (controversial) & sauna industries are booming…
1 reason: The long arm of the lockdowns sensitized people to value of self directed health steps & that time & $ invested in health can also = fun.
New York Post@nypost
Even more California wineries shut down or will soon as industry crushed by major drinking habit changes trib.al/n4DcN2g
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suicide bombing in an age where drones exist, pure love for the game, you have to respect this dedication
Eyal Yakoby@EYakoby
BREAKING: Afghanistan announces they will use suicide bomber battalions.
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Keith Patton retweetledi
Keith Patton retweetledi
Keith Patton retweetledi
Keith Patton retweetledi
Keith Patton retweetledi
Keith Patton retweetledi
Keith Patton retweetledi

CLIs are super exciting precisely because they are a "legacy" technology, which means AI agents can natively and easily use them, combine them, interact with them via the entire terminal toolkit.
E.g ask your Claude/Codex agent to install this new Polymarket CLI and ask for any arbitrary dashboards or interfaces or logic. The agents will build it for you. Install the Github CLI too and you can ask them to navigate the repo, see issues, PRs, discussions, even the code itself.
Example: Claude built this terminal dashboard in ~3 minutes, of the highest volume polymarkets and the 24hr change. Or you can make it a web app or whatever you want. Even more powerful when you use it as a module of bigger pipelines.
If you have any kind of product or service think: can agents access and use them?
- are your legacy docs (for humans) at least exportable in markdown?
- have you written Skills for your product?
- can your product/service be usable via CLI? Or MCP?
- ...
It's 2026. Build. For. Agents.

Suhail Kakar@SuhailKakar
introducing polymarket cli - the fastest way for ai agents to access prediction markets built with rust. your agent can query markets, place trades, and pull data - all from the terminal fast, lightweight, no overhead
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Keith Patton retweetledi
Keith Patton retweetledi

1. go to chrome dev tools
2. in memory tab, take a snapshot & download
3. drop it into @cursor_ai
@cursor_ai will write python scripts to analyze the snapshot and point out what's making your website feel sluggish

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Keith Patton retweetledi
Keith Patton retweetledi

Wake up, eight sleep gives me a 72/100 sleep score.
Brush teeth with Oral-B iO, only 64% coverage.
Step on withings scale, body composition down 0.3%
whoop says my recovery is 41%
sit on the toilet Vivoo analyzes my urine in real time, 6.2 pH. suboptimal.
oura ring says my HRV dropped while i was pooping
open levels app, glucose spiked from looking at a banana
get in tesla, safety score dropped to 94 because i braked too hard arrive at work
manager says my productivity score is in the 38th percentile
go home, eight sleep starts cooling my bed at 7:43pm without asking
lie in the dark wondering what my existential dread score is
apple watch taps my wrist: "it seems like you're having a hard time. breathe."
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Keith Patton retweetledi
Keith Patton retweetledi

Very interested in what the coming era of highly bespoke software might look like.
Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week.
1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc.
But I still feel like the overall direction is clear:
1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you.
2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it.
So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations.
TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.

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