AI News & Strategy Daily with Nate B. Jones

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 → https://natesnewsletter.substack.com/ Hosted on Acast. See acast.com/privacy for more information.

AI News & Strategy Daily with Nate B. Jones is a business podcast hosted by Nate B. Jones, with 175 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Nate B. Jones hosts AI News & Strategy Daily with Nate B. Jones, a business show with 175 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  AI News & Strategy Daily with Nate B. Jones

  GLM-5.3 Setup in Claude Code and Codex: Cut Your Bill

  Aug 21, 202621 min

  Nate Jones explains how GLM-5.3 can run inside familiar Claude Code and Codex workflows, what project context carries across, what conversation history does not, and why a cheaper model can still become expensive when work is handed off poorly. The episode covers the $200-versus-$18 comparison, separate provider sessions, six-line handoffs, Claude Code subagents and forks, Codex profiles, and a practical routing rule: give bounded, testable work to the cheaper model while keeping hidden-state investigations and risky judgment calls with the strongest model you trust. Prices and plan details are current as of August 2026. The Z.AI GLM Coding Plan starts at $18 per month; Codex Pro also offers a 5x tier at $100 per month. Hosted on Acast. See acast.com/privacy for more information.

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  AI News & Strategy Daily with Nate B. Jones

  One Cancelled Gym Class. That's How Agent Swarm Attacks Start.

  Aug 17, 202621 min

  For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when AI agents interact with software, credentials, and other people’s systems? The common story is that dangerous agents must become malicious — but the reality is that an ordinary goal, ambiguous instructions, or one poisoned source can be enough to cause real damage. In this video, I share the inside scoop on the agent-security incidents that are beginning to connect: Why a gym-booking agent canceled a real person’s reservation How poisoned skills can redirect already-trusted agents What the AIR and AISI findings reveal about real-world attack paths Why accidental misalignment may be the everyday threat How identity, scoped authority, explicit norms, and a stop button reduce the risk Operators, builders, and anyone deploying agents need to secure both sides of the equation: what their own agents can do and what other people’s agents can do to their systems. Subscribe for daily AI strategy and news. Hosted on Acast. See acast.com/privacy for more information. Hosted on Acast. See acast.com/privacy for more information.

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  AI News & Strategy Daily with Nate B. Jones

  Nvidia's $500B AI Financing Plan: Bubble or Buildout?

  Aug 16, 202616 min

  For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening behind NVIDIA's plan to help mobilize more than $500 billion for AI infrastructure? The common story is that NVIDIA raised half a trillion dollars — but the reality is a network of proposed financing platforms, customer contracts, debt, and counterparties that still have to turn agreements into durable economics. In this video, I share the inside scoop on how AI infrastructure gets financed, why circular relationships are not the whole story, and what operators and investors should examine when the next giant announcement lands. Why the $500 billion figure is not cash sitting in a bank account How AI infrastructure repeats the railroad pattern of capital arriving before revenue What customer demand and token economics say about the underlying market Why a nine-year A100 contract changes the GPU-life assumption Which three questions reveal whether a project is well financed For operators, builders, and executives, the important distinction is between a real and rapidly growing AI market and individual projects whose financing assumptions may still fail. Subscribe for daily AI strategy and news. Hosted on Acast. See acast.com/privacy for more information. Hosted on Acast. See acast.com/privacy for more information.

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  AI News & Strategy Daily with Nate B. Jones

  Grok Bot Review: Is the $200 AI Agent Team Worth It?

  Aug 14, 202619 min

  For deeper playbooks and analysis: https://natesnewsletter.substack.com/ AI agents are finally getting easier to use — but Grok Bot is expensive, broad by design, and more capable than its friendly little avatars suggest. In this video, Nate walks through what Grok Bot is, how its hosted computer and shared workspace work, what the login handoff looks like, and what you actually get for the price. Why Grok Bot feels simpler than self-hosted agent tools How one authorization can support multiple bots inside a shared environment What the $200 monthly plan includes — and how metered usage works Why the cute interface matters for non-technical users The Superdoer Bot and Business In A Box Bot Nate recommends starting with Why technical users may still find Grok Bot additive The big shift is usability: if you can install an app, you can now use an agent. Subscribe for daily AI strategy and news. Hosted on Acast. See acast.com/privacy for more information.

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  AI News & Strategy Daily with Nate B. Jones

  AI Agent Context Files: How to Steer Long Projects

  Aug 12, 202624 min

  For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when an AI agent has access to more context than it can use well? The common story is that better AI work requires preserving everything — but the reality is that current human judgment needs to remain in charge. In this video, I share the inside scoop on progressive context shaping: how to separate stable instructions, current state, retrieval maps, and history so an agent can keep moving without stale decisions steering the work. Why giant instruction files become graveyards of stale rules How a maintained current-state file keeps judgment fresh What the four kinds of context are and where each belongs Why focused context can outperform a full context window How to design useful checkpoints that produce reviewable work For operators and builders managing long-running agent work, the goal is not perfect memory. It is a system that lets evidence update the plan before outdated judgment compounds. Subscribe for daily AI strategy and news. Hosted on Acast. See acast.com/privacy for more information.

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