
@SpaceXSI Ambassador @grok @bot @cursor_ai Tampa Bay @gauntletai AI Engineering Fellow @micro1_ai AI Training MA Sustainability BAs Psych & Comm @USouthFlorida
St Petersburg, FL
Joined March 2023
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Alberto Jauregui retweeted
I built a shelf for Grok Bots 🤖📚
25 bots you can import in one tap, from me and Nick @thecsguy 🙌
🔐 audit your code for security holes
🎼 your own iPod for Apple Music
📚 keep your bots from forgetting what you told them
💽 clean up your Mac, 🔥 track your burn rate, 🍣 get sushi delivered
Search with typos, filter by creator, share any view 🔎
Built a bot? Reply here or tag me with your x.ai/bot link and I'll add it 👇
grokbotshelf.vercel.app
Alberto Jauregui retweeted
Over the last year, I've fallen in love with Rust.
I was a C programmer for about a decade, really loved C, then moved to Python, but always kinda missed C.
Then I discovered Rust, and well, I like it more than C.
I also think we're moving into a time where we can see code as art in many ways. Code can be beautiful, or at least, it is to me.
And while we all write code with agents now, that doesn't mean we can't write beautiful code, and work on improving our code quality.
In a world where agents write all our code, writing better code is actually even more important imo.
Soooo, I've been working on a skill that I use with my agents to write better Rust code, distilled from the Google Rust style guide, the official API Guidelines, Effective Rust, and a couple of others.
Thought I'd share it, it's called BeautifulRust 🦀 ✨
github.com/morganlinton/Beau…
Alberto Jauregui retweeted
Cursor can now control your computer.
Agents can drive desktop apps like the iOS Simulator to test the features they build.
Streamers, devs, designers, chat enthusiasts! The Codex x TwitchCon Hackathon with @TwitchDev and @OpenAIDevs is live! Build something streamers and their community on Twitch could really use. Codex helps you get set up with the Twitch API, EventSub and chat, so you can focus on the idea. $25,000 in prizes and the top 5 get shown on the Codex Booth at TwitchCon San Diego on Nov 15. Deadline: Mon Nov 2, 2:00 PM PT. Register today: bit.ly/twitchcodex26t
An urgent notice from the Railway team
blog.railway.com/p/security-…
Alberto Jauregui retweeted
I spoke about how after a period of stagnation in coding agent harnesses due to smarter models, we're now at the beginning of the flywheel once again. Tons of recent harness innovation including the software factory, Cursor projects, and @bot.
Check it out now on youtube!
Inside Grok Bot: is the agent harness dead?
@jediahkatz of @SpaceXSI explains why smarter models let Cursor remove prompts and guardrails, and why Grok Bot is adding them back.
Watch his AI Engineer New York talk:
youtube.com/watch?v=7Y4sbZgB…
grok bot apple watch app now available on testflight
58 people testing since last night, gathering feedback and working on improvements, ty you guys!
testflight link below 👇
Alberto Jauregui retweeted
grok bot 0.71.2 is out
- smarter notifications
- files up to 250 mb (1 gb for video), 20 per message
- forms arrive pre-filled
and a lot more!
x.ai/changelog/bot
if you have claude code on a mac, you need this grok bot.
text it a task from anywhere, it runs it in a claude code session and pings you with the results. reply and it goes to the same session.
grab the template 👇
x.ai/bot/aB0M7wQOAcFgd_G0rTE…
Alberto Jauregui retweeted
You already gave the LLM the answer. So why is it writing it out from scratch?
Introducing a new AI model architecture: Constrained Decoding Models (CDMs)
LLMs were built to write. Most production workloads just need an answer: fast, consistent, and affordable.
CDMs are purpose-built for 1 task each. They read your input once and skip the token-by-token generative loop that makes LLMs slow and expensive.
Not just a decision model, but a family of 3 CDMs live today:
• Classify: define your labels and get back a calibrated probability + reason for each. Used for routing, tagging, and intent detection.
• Extract: describe the entities in natural language and get back well-formed JSON with confidence scores + citations. Used for web scraping, document processing, and PII redaction.
• Summarize: pass in long text, images, or PDFs and get back a consistent summary under 1,000 tokens. Used for context compaction, metadata generation, and transcript digests.
Built for production:
• 1M tokens of multimodal (text + image) input, 31x larger than Jev
• 77.2% on DecisionBench vs Jev's 72%
• 200x faster, 467x cheaper than frontier LLM APIs
• $0.05/M input tokens. Output is free (yes, even for summarize)
Live on your favorite platforms today:
@OpenRouter @vercel_dev @LiteLLM @LangChain @TrustedRouter @itsArthurAI @useRouterPlus
Get 50M input tokens for free (for the first 50 hours) at link below 👀
🤖 Made with AI
Alberto Jauregui retweeted
Very excited to share my everyday workflow using
@bot for engineering work.
Come to Compile to hear how :-)
cursor.com/compile/new-york
Alberto Jauregui retweeted
Introducing American Forge: a six-month residency for exceptional engineers ready to take on the toughest problems in American government.
Run by National Design Studio in partnership with @cognition
forge.ndstudio.gov/?s=x
Alberto Jauregui retweeted
Supabase is now available in Grok Bot!
Find the Supabase connector from the app store and have fun building full-stack applications with Supabase and Grok Bot!
Alberto Jauregui retweeted
Cloud agents can now build interactive canvases.
Ask for a dashboard or report while the agent works, then share the finished canvas with your team as a link.
Alberto Jauregui retweeted
We’re rolling out Gemini 4 Argon in Antigravity to paid Google AI Pro subscribers today. Demand has been incredible and we've scaled capacity deliberately to get here. We’ve rolled out a separate weekly-only Argon quota for Pro on top of the existing Gemini bucket for 3.8 Flash so you have the best of Gemini for all your tasks.
Alberto Jauregui retweeted
Live on Claude now.
The ultimate trading card market tool.
Instead of having a million tabs open, or trying to spend a bunch of money for different dashboards or whatever.
It's all in our AI. The AI can create the charts, and graphs, and do analysis for you.
claude.ai/directory/trading-…
Effectively as much data on the trading card market I could collect over the past x amount of months.
Organized in a way with a lot of pre computations and structuring such that it uses less context for more actionable results.
Haven't posted much about my Pokemon/TCG data work.
But in the meantime here is the ultimate TCG analysis tool.
Forget all of these different dashboard companies, these.
Everything should just plug into ChatGPT, Claude, Muse, whatever.
You just ask it questions and then it decides how to present the data.
its fast, has access to ALOT of data raw assistants just don't, and its designed in a way to not eat nearly as much usage as if you just asking raw assistants these questions.
Prices, Volume, Graded, Ungraded, Sealed, Population Data, Sentiment Data, Restock Data, etc etc etc.
And i'm constantly fine tuning the machine learning models that I will release through there.





























