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🔒 Q&A w/ Nate is happening in 6 days
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🚀New Video: What Karpathy Joining Anthropic Actually Means For Claude
Andrej Karpathy just joined Anthropic, and the why behind it is way more interesting than the headline. In this video I break down how Karpathy's recent work on context engineering, the LLM Wiki, and /goal-style autonomous loops lines up almost perfectly with what Claude Code has already been shipping. Then I share three predictions for where Anthropic goes from here, including a possible app store for context and an education layer for packaging your own workflows.
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🚀New Video: How to Use Your Claude Code Projects in Codex in 5 Mins
Both Claude Code and Codex can run on the same project. You just need to know what each one looks for so you don't have to duplicate files or rebuild your setup. This video walks through what to swap, what stays the same, and a quick prompt you can use to convert any Claude Code project so Codex can read it too.
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🏆 Weekly Wins Recap | May 9 – May 15
From €17K agentic systems and $35K builds to AI leadership roles, first workflows, and launched products - this week inside AIS+ showed what happens when consistent reps finally start compounding. 🚀 Standout Wins of the Week inside AIS+ 👉 Malek Kilani closed his first €17K agentic AI build for a sales coaching company using enterprise presales experience as the unfair advantage. 👉 @Michael Elliott shipped a $35K certification platform with 100+ API endpoints, Stripe integrations, AWS infrastructure, and recurring monthly revenue attached. 👉 @Ailin Werner landed a Head of AI role after 8 months out of work by building publicly, sharing demos, and consistently showing her work online. 👉 Ismail Islam officially launched TradePulse — a full AI-powered trading intelligence platform combining dashboards, Telegram automation, and economic analysis workflows. 👉 @Cagri Sarigoz launched HeyNews on Product Hunt after 12 months of iteration and more than 600 AI-assisted newsletter issues. ⸻ 🎥 Super Win Spotlight | @Ailin Werner Ailin’s LinkedIn Ailin joined AIS+ after losing her job and deciding to fully commit to AI automation. At first, she was learning step-by-step through ChatGPT, debugging workflows manually, and spending countless hours figuring things out alone. Then she joined AIS+ planning to stay for just one month. That quickly changed.
🏆 Weekly Wins Recap | May 9 – May 15
Karpathy posted one line last week that changed how I use Claude:
"Audio is the best input to AI. Vision is the best output from it." I tested it on the next plan.md Claude handed me. Never going back. Here's what was happening before: For months, Claude would hand me a 200-line markdown plan for a feature. I'd scroll to the bottom. Type "looks good." Ship code I never actually read. but I know I'm not the only one doing this. Then I switched the same plan to HTML output. Same model. Same prompt. Different format. And I actually read the whole thing. I caught the gaps. Pushed back on weird design choices. Spotted three things that would've broken in production. Karpathy's full frame is sharp: → A third of your brain is dedicated to visual processing → It's a 10-lane superhighway into your head → Markdown rides a bicycle on it Since that post, every major plan, every feature spec, every report on my current client build → HTML, not markdown. Try this on your next Claude session: "Structure this as a single self-contained HTML file. Open it in the browser." You'll catch things you would've nodded through in markdown.
Karpathy posted one line last week that changed how I use Claude:
Exploring the ecosystem of workflow orchestration? 🛠️
Check out "xyops" ❤️‍🔥 by PixlCore, a powerful open-source framework designed to unify job scheduling, workflow automation, and infrastructure health monitoring into a single control plane. 🔗 Repository: https://github.com/pixlcore/xyops xyOps vs. n8n: Key Technical Differences While n8n excels at enterprise application integration (SaaS, APIs, and data syncs), xyops is purposefully built for infrastructure engineering and DevOps: 🔎 Core Focus: n8n automates business workflows and data pipelines. xyOps acts as a "next-gen cron" built to execute shell scripts, manage system processes, and deploy server migrations. 👓 Observability: xyOps integrates native real-time server metrics (CPU, RAM), alerts, and incident response tickets directly alongside your running workflows (a loop n8n isn't built to handle natively.) ➿ Resource Safety: xyOps allows you to enforce strict resource guardrails (like Max Memory or Max CPU %) directly on workflow nodes to prevent runaway scripts. 💡 Hint: Choose n8n for API-heavy application logic, and xyOps for close-to-the-metal infrastructure orchestration. ❓ What would you like to automate using xyops? Please share your idea in the comments 👇🏻
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Exploring the ecosystem of workflow orchestration? 🛠️
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