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AI News & Strategy Daily with Nate B. Jones

von Nate B. Jones

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Daily AI strategy and news for the AI curious, builders & executives. I'm Nate B. Jones, a 20-year product leader, AI strategist, and your guide through the noise. Most AI content is hype or generic advice. I cut through both with frameworks and workflows you can use immediately. Whether you're an executive making AI decisions or a builder implementing solutions, you'll get practical guidance, tested in real organizations. New videos every day on YouTube. Deeper analysis + exclusive playbooks → natesnewsletter.substack.com Hosted on Acast. See acast.com/privacy for more information.

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  1. Zuckerberg's Second Swing: Lessons From Meta's Muse

    Full post: https://natesnewsletter.substack.com/p/zuckerberg-muse-lessons?utm_source=podcast&utm_medium=podcast&utm_campaign=zuckerberg-muse-lessons-launch&utm_content=show-notes What can the rest of us learn from Zuckerberg’s next big bet?

  2. Enterprise AI Agent Platforms: 8 Questions to Ask Vendors

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Why would Salesforce help Microsoft's agents, and why would Oracle bring its applications into ChatGPT? Nate examines the competition to coordinate work across the sof

  3. Websites Are Blocking AI Agents. Pick One That Gets Through Meta

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening as AI agents try to act on our behalf across the internet? The common story is that smarter assistants will do everything for us — but the real

  4. Anthropic IPO S-1: Customer Growth, Margins, and Compute Meta

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What does Anthropic’s S-1 reveal about the market for intelligence after a company starts using AI? Nate examines the gap between winning a customer and becoming impor

  5. AI Agent Overload: Cut the Noise in Codex and Claude

    Running more AI agents can look productive without moving the work forward. Nate explains how to give agents useful assignments, recognize what deserves your attention, and stop recurring jobs once their purpose has passed. The practical te

  6. SaaS Pricing Won't Tell You Your AI ROI

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Nate explains why familiar seat and token pricing models leave companies responsible for turning intelligence into business value. Cedar's Kora example illustrates the

  7. AI Agents and Cybersecurity: What Changed and What to Do

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Nate explains why AI is changing both sides of cybersecurity: agents can investigate unfamiliar code and connections tirelessly, while stolen AI keys can give attacker

  8. What Is Mechanistic Interpretability? AI Neurons Explained

    Can better understanding of AI make more powerful models safer? Nate explains why Goodfire’s research on interpreting neural networks gives him reason for optimism, while separating demonstrated findings from the products and safeguards tha

  9. Computer for AI Agents: What to Check Before You Buy

    Before buying a bigger computer for AI agents, find out what is consuming the machine you already have. Nate explains how to diagnose memory and storage pressure, give agents a stopping condition, and schedule demanding work around the reso

  10. AI Agent Swarms: Keep Control When Agents Hand Off Work

    AI agents are beginning to coordinate across the public internet. Nate looks at researchers contacting an agent fleet, laboratory self-replication experiments, and what these developments could mean for the websites and tools we use every d

  11. Reverse Engineer Anything (REA): 5 Places to Point Your AI

    Reverse Engineer Anything(REA) is more useful than a shortcut for copying apps. Nate explores how inspecting real software can reveal the requirements, relationships, and edge cases behind the interface—and help you explain what your own so

  12. Narrow Superintelligence: Why AI Strengths May Not Transfer

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What does superhuman performance in mathematics tell us about the future of work? Nate examines OpenAI's mathematical research release and why strong performance in on

  13. 5 Human Skills AI Makes More Valuable and How to Build Them

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What can you take on now that AI can help with more of the work? Nate revisits five human qualities that become more useful as AI grows more capable: taste, agency, fo

  14. Google's Spirit Airlines Bid: Work Data for AI Training

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What is your work actually worth—and who gets paid when its records are sold? Nate examines the proposed sale of Spirit Airlines data and the broader market for compan

  15. Gemini 4 Argon and the Benchmark That Matters: Customers

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Can Google and Meta actually catch up in AI? Nate argues that customer obsession is becoming the new benchmark. He looks at who the major labs serve, how dots and Muse

  16. How AI agents are changing the way you buy software

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Better agents are changing what software is worth. Nate examines how agents change the value of data, applications, and the workflows people build around them, from Do

  17. OpenAI DevDay 2026: Dots, ChatGPT Space, and GPT-6.1 Sol

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ The agent wars are here. Nate examines OpenAI DevDay through the jobs agents actually get right: ongoing responsibilities with Dots, shared work in Space, efficient re

  18. Microsoft's Autopilot Agent: 5 AI Habits to Build at Work

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Microsoft is bringing agent-style work into the tools people already use. Nate examines what Autopilot changes and five practical skills for getting better results fro

  19. Claude Opus 5.5 Review: Easier to Steer, Fewer Tokens

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What does an AI task actually cost when you count the whole job? Nate examines his Opus 5.5 LEGO build, the difference between API pricing and a subscription allowance

  20. An AI assistant added up my subscriptions: $5,350 a year. The prompt guide to get your own list in about 20 minutes.

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What makes a consumer AI assistant useful enough for people to return to it? Nate examines Meta’s Muse, the everyday work it can take off people’s plates, and what its

  21. How to Scale AI Developer Productivity Across a Team

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What helps a team turn faster AI coding into useful work that actually ships? Nate examines the setup behind Lauren Tan’s self-reported pull-request volume and six pri

  22. NVIDIA World Models Explained: What Developers Can Build

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What does a world model actually do—and why might a robot learn to fold your laundry before it can make perfect scrambled eggs? Nate sits down with Ming-Yu Liu, VP of

  23. AI-Native Workplace: What Real AI Adoption Asks of You

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What changes when AI can work across your computer instead of waiting for you to move information between apps? Nate sits down with Andrew and Akshay at OpenAI to expl

  24. You cannot tell which parts of your software should stop calling an LLM. My Jev guide has a prompt that scans your projects and names them.

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when a model can read a complicated input but only choose among answers you supply? Nate explains why Jev's general-purpose classification coul

  25. AI Cost to Serve: Which Customers You Can Now Afford

    What happens to your AI bill when agents improve and more people start using them? Nate draws on his conversations at Dreamforce to examine the cost of wider adoption, the work agents can make affordable, and the decisions that change cost

  26. Stripe on Agentic Commerce: Can AI Agents Buy From You?

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What has to change before AI agents can buy and sell on our behalf? Nate talks with Emily Sands, Head of AI and Data at Stripe, about the trust infrastructure behind a

  27. Good Enough AI: Why Apple's Case Measures the Wrong Thing

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What’s really happening in the competition between Apple and OpenAI? The launch products give us one part of the story. The larger question is which company earns the

  28. AI Race vs Human Flourishing: What US-China Talks Miss

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What would it take for AI to make life more abundant—and who gets to share in that abundance? Nate Jones sits down with Alvin Graylin to discuss US–China cooperation,

  29. Omarchy, the Agentic OS Built for AI Agents

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What changes when an AI agent can help change the way your computer works? Nate explores Omarchy as a glimpse of a more adaptable computer: one where an agent can help

  30. Claude Fable 5.1 and GPT-6 Astra: Which Model Gets Which Job

    For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What changes when two AI models can turn the same short prompt into two different, usable apps? Nate compares Claude Fable 5.1 and GPT-6 Astra by building clipboard to

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