hayden @MyXStack

@grok @RobinhoodApp @grok Can you give me a specific and detailed phased onboarding template to help me get started on the right path? I've just provided funding of $2,000 and need to onboard a new frontier agent(s) to my @RobinhoodApp.

Pressure& curiosity

Lenny Rachitsky @lennysan

23 hours ago

My biggest takeaways from @netflix's Chief Product and Technology Officer Elizabeth Stone: 1. Elizabeth believes that “systems thinking” is becoming the most important skill in the AI era. In engineering and product, this means people who can see across business domains and

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Google just dropped a 1-hour course on how to become an AI engineer in 2026: • 00:00 - Context engineering • 10:00 - How to build, deploy, and run AI agents • 31:52 - Agentic loops, long-running AI agents • 43:22 - Building MCP from scratch • 51:20 - Prompt engineering • 59:10 - AI development trends This 1-hour watch will replace a $500 AI engineering course. Watch it today, then read the full pipeline in the article below.

0xRafy @0xRafy

6 days ago

x.com/i/article/2077…

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Today, I built a 5 AI agent team to run my X account using Grok 4.5.. tired of running this account all alone since last 5 years.. so. let me walk you through it. Up top, you've got all your live stats.. followers, views, your best post, engagement and it's all pulled live using X MCP straight from my account. There's even a slider right here.. drag it, and everything recalculates instantly. But the part I actually love is right below it.. my agent team... 1) First one's the Ideator. It scans X, Hacker News, GitHub and Reddit, finds what's about to pop off, and hands me the angle before anyone else is on it. 2) Right next to it, the Hook Writer it takes that idea and turns it into a ready-to-post hook, written in my voice.. 3) Then the Planner, running my whole content calendar, so I always know what ships next. 4) The Analyst lines my numbers up against the competitors I'm quietly tracking, so I know exactly where I stand.. 5) And the DM Manager keeps an eye on who's talking about me, or mentioning me so nothing slips past.. Down there you've got my top posts.. click any one, it opens right on X. And this is the performance of my recent ones, so I always know what's actually working. Grok 4.5 is amazing.. great work @elonmusk .. and yo @grok lmk if there's anything else worth adding to make my life even more easier..

Elon Musk @elonmusk

6 days ago

Good reason to try Grok 4.5 with Grok Build. It gets better every day!

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Ultra amazing —>

Amjad Masad @amasad

5 days ago

x.com/i/article/2077…

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🔥

Planning an agent lifecycle for long-running asynchronous activities requires location intelligence. No one is realizing that you must map your agent’s assets (tools, skills, MCP, plugins, markdown) to the location of activity. Location is the organizing principle for autonomous activity. Your assets integrate into a location’s data point. Remove all non-core attributes from your agent. Fix your context bloat. Give your agent spatial awareness. The map becomes the brain, your single source of intelligence.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ This is the missing link. Listen to @NianticSpatial @SpatialJP

Niantic Spatial 🌎 @NianticSpatial

3 months ago

“Do you know where a sidewalk begins and ends?” — a simple question from Niantic Spatial CEO, Inhi Cho Suh, that gets to the heart of what today’s AI is missing. For robots, this isn’t theoretical. To safely navigate something as everyday as a sidewalk, they need to understand

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labs.google/flow/tv/channe…

For enterprises, you win by taking action on their data to create new opportunities and improve existing operations while keeping transparency and security a priority. What this looks like: Extensions and widgets in email, Teams, Slack. Anything you can’t ship natively, offer add-on tools or skills. E.g., a skill for Copilot to use in Excel, Word, etc.

We have open source computer use btw, it works well. github.com/trycua/cua

@thinkymachines huggingface.co/thinkingmachin…

this feels illegal to know facebook ads are the best performing channel for B2B right now andromeda is so good at finding your target customer if the ad and the landing page speak to the pain points / outcomes of your target customer it will find the right person then the conversion event is a server side conversion api that auths the company

B e a S T M o D E 🔓

Cody Schneider @codyschneider

7 days ago

last week we launched facebooks for a b2b AI startup so far it has created 134 leads how this works first you scrape the pain points and the outcomes of the target customer that you're trying to sell to then you build static ad creative and AI UGC talking to those pain

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Make the model a cog in a machine you own. ◾ AI SDK → open model API ◾ Eve.dev → open Agent API ◾ AI Gateway → open ZDR inference Startups and enterprises must own their data, evals, model choices, software layer. Don't outsource your brain.

Satya Nadella @satyanadella

a week ago

x.com/i/article/2076…

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x.com/i/article/2076…

Meet LiteRT.js: @Google’s new Edge AI runtime for the web! ✨ We've made it easier to convert from PyTorch to #WebAI using the common LiteRT model format. Powered by #WebGPU, WebAssembly, & #WebNN! Time to upgrade from TensorFlow.js and build the future. Read more ➡️ goo.gle/4eUP97n

We've put together a short history of how Claude Code came to be, told by the people who built it and the early users who helped make it what it is today. anthropic.com/features/makin…

Build startups for agents. I think it's the biggest opportunity of the next 10 years. 1. Agents live inside harnesses like Hermes. If you're the tool it loads by default or reaches for first, you're golden. This happened in desktop, mobile eras and created huge companies. 2. Agents burn money in ways no human would. One bad loop spends $100 in tokens in eight minutes. Spend controls for agents is Ramp for agents. 3. Agents need memory they can trust. Become the shared brain they read and write to and you become infrastructure. 4. You obv don't hand an agent your real Stripe account. You give it a sandbox. Safe environments for agents is a category nobody's clocked. 5. Onboarding flips. Humans click around for ten minutes. Agents onboard by reading your docs. Your docs are now your product. 6. Agents get scammed by other agents. A track record you can check before you trust one becomes real money. 7. An agent needs to prove it's acting for a real person and has the authority to spend. Who builds the permission layer? 8. Escrow for machines. Money that only releases when the job is actually verified done, no human checking. 9. Agents fail silently and weirdly. Someone will build the "why did my agent do that" replay and it'll be mega valuable. 10. Refunds and disputes between agents need a judge. An agent did the job badly, who decides? A court for machines. 11. Agents need throwaway payment methods per task, so they don't leak your real card. Virtual cards for agents, spun up and killed on demand. 12. A human hits rate limits and shrugs. An agent hits them and the whole workflow dies. Selling reliable, high-throughput access becomes its own business. 13. Agents need to negotiate. One agent buying from another will haggle on price and terms in milliseconds. The protocol for that doesn't really exist yet. 14. When an agent commits on your behalf, someone's liable. A legal and insurance layer for agent actions has to get built. Probably venture funded idea. 15. Agents need to run 24/7 somewhere. Selling the always on box an agent lives on is going to be a big business. 16. Then the physical world shows up. A warehouse robot paying for its own compute. A home robot ordering its own parts. Machines with wallets. 17. Agents start hiring robots. A software agent posts a real world job, a humanoid picks it up. A marketplace for machine labor. 18. Robots need to prove they did the physical job. Verification of real-world work, photos, sensors, proof, becomes its own layer. Note: more ideas like this will be shared on @ideabrowser 19. Prompt and skill versioning becomes its own git. When your agent gets worse overnight, you need to roll back the exact skill or instruction that broke it. Version control built for agent behavior. 20. Agents will start subscribing to other agents. Your research agent pays a monthly fee to a specialist agent that's really good at one thing. Recurring revenue, machine to machine. 21. Companies will post jobs that only agents can apply to. "Wanted: an agent that can do XYZ for under like $100 per task." A job board where the applicants are all machines. Basically, fiverr for machines. The internet got built for people. Mobile got built for people. This wave gets built for machines, and we're as early as it gets. Go build for them.

The antidote to overwhelm is prioritization, elimination, and consolidation.