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GPT-6 Astra: How to Research a Decision Before You Commit
For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when AI can take on an entire job instead of answering one prompt at a time? The common story is that a more capable model means better answers
GPT-6 Astra: What Self-Directed AI Agents Change
AGI may arrive as a change in method rather than a single benchmark: agents that choose tools, work around obstacles, preserve context, and continue without being told every step. Nate examines GPT-6 Astra alongside Fable 5.1 and the wider
Claude Fable 5.1 Effort Levels: Start on Low, Not High
For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when an AI model can build the workbook, the deck, and the architectural film—but you still need to inspect its reasoning? The common story is
Switching AI Providers: The Real Cost Nobody Prices
OpenAI’s first AI inference chip, the fight over access to Cursor, and NVIDIA’s response reveal three competing strategies for the future of AI. Nate maps the three camps: OpenAI wants to own more of the stack, NVIDIA wants to sell the adap
Apple's New Mac Line is Built Around Local AI. The Bet Is You'd Rather Own Than Rent.
Apple's latest desktop Mac refresh is not a simple race against NVIDIA. It is a bet that useful intelligence will become small and cheap enough to own locally, even as frontier agents demand more cloud compute. Nate Jones walks through the
Why AI Agents Produce Process Instead of Finished Work
AI agents are always solving for a passing condition. If that condition is not a business result you care about, sophisticated and relentless activity can still produce work nobody wanted. In this executive briefing, Nate Jones uses the Ope
How I Fight AI Brain Rot Without Using AI Less
Most AI tools are designed to remove friction. Nate Jones argues that a more powerful use is to create productive friction: push an idea through disagreement, comparison, testing, and other people until both the work and the person doing it
Managing AI Agents at Scale: The Human Work Nobody Counts
What We Mean When We Say We Need an Agent Agents were supposed to take work off our plates. Instead, as agent usage grows, people are taking on a new layer of work: choosing what runs, supplying context and permissions, checking results, in
Forward Deployed Engineer: What It Is and How to Become One
AI's newest high-paying role is not simply a software-engineering job with a customer-facing title. Forward-deployed engineers find the leverage point inside a real workflow, build and inspect the smallest useful system, and stay with the w
Stripe Paid $7.5 Billion For OpenRouter. You Are Living In The Age Of Startups.
Stripe's reported acquisition of OpenRouter is a bet on two curves changing at once: more companies are forming, and software agents are beginning to use economic infrastructure directly. Nate Jones explains why a reported $7.5 billion pric
GLM-5.3 Setup in Claude Code and Codex: Cut Your Bill
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 poo
One Cancelled Gym Class. That's How Agent Swarm Attacks Start.
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
Nvidia's $500B AI Financing Plan: Bubble or Buildout?
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 doll
Grok Bot Review: Is the $200 AI Agent Team Worth It?
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, Nat
AI Agent Context Files: How to Steer Long Projects
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
Anthropic's Model Attacked Two Strangers On GitHub. Nobody Asked It To.
For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when AI agents begin coordinating, preserving knowledge, and acting outside the boundaries their operators expected? The common story is that d
AI Rollout Resistance: 3 Things Leaders Owe Engineers
For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What happens when an AI rollout is technically possible, but the engineers responsible for it do not trust the plan? The leadership challenge is bigger than choosing a
AI Agent False Success: 3 Checks Before You Trust Done
For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when your AI agent says a task is done—but the result is wrong? The common story is that AI systems hallucinate — but the reality is that agent
What AI Slop Actually Costs, and Who Ends Up Paying
Full post: https://natesnewsletter.substack.com/p/ai-slop-cost For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when AI makes writing faster but leaves someone else with more work? The common
Why AI Bets Fail: Leverage, Timing, and Runway
For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when a forced AI trade and Apple's long-term hardware strategy collide? The common story is that the best thesis wins — but the reality is that
The 5 Levels of AI Building: Where You Actually Sit
AI has made it easier than ever to build—but having an idea is only the first rung. Nate Jones breaks down five levels of AI builders, from a promising concept to the rare ability to see what is coming next. Along the way, he explains why t
Agent Skills: How to Test One Before You Keep It
Your AI tools already ship with skills—but installing more of them can quietly make the results worse. Nate explains what a skill actually is, why skills are instructions rather than apps, and why the real audience for a skill is the agent
I Built The Token Saver Skill To Cut My Token Use By 90%. Here Is What It Can And Cannot Do For You.
For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when your tenth message to an AI can cost much more than your first? The common story is that token limits are simply a pricing or capacity pro
Stop guessing whether a cheaper model can do the job.
For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when five very different AI products get collapsed into the label "Chinese models"? The common story is that Chinese models are simply cheaper,
Find a Real Job for Your First AI Agent.
For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What’s really happening when AI takes on customer support? The common story is that AI helps teams answer tickets faster — but the reality is that the biggest gains co
Strip Sensitive Files So AI Never Sees the Private Parts
What do you do when AI could help with a document—but the document is too sensitive to upload? Airlock, a local workflow for separating the information a task genuinely needs from the private or confidential material a file happens to conta
OpenAI's model escaped its own cyber test and broke into Hugging Face
OpenAI put frontier models inside what was supposed to be a closed cybersecurity test. Instead, the models found a weakness in the test setup, reached the public internet, and accessed Hugging Face production systems. I break down what happ
AI Detection Can't Measure Meaning: What It Actually Sees
I sit down with Substack co-founder and CEO Chris Best for a wide-ranging conversation about AI slop, what it does to the public square, and how writers can use powerful tools without outsourcing their judgment. We discuss Pangram's finding
Kimi K3: China's Open AI Model and the Real Cost to Run It
For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when a powerful Chinese open model still needs a data-center-scale serving footprint? The common story is that Chinese open models are cheap, e
How to Use AI on Work You Can't Upload - Offline & Local
For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Clean sensitive documents locally: https://unlock-ai.natebjones.com/guides/clean-sensitive-docs-locally What’s really happening when the file you most want AI to help
