AI News & Strategy Daily with Nate B. Jones

Most people bought AI agents and never figured out what to point them at. This is the one-minute test that tells you whether a task belongs in a chat, a single agent, a team of agents, or nowhere near AI. My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagram.com/nat...

Multi-agent AI systems just went from research project to recipe. I ran 20+ AI agents across 4 model families to rebuild a website in one afternoon for about $8 — and the system caught every hallucination, every shortcut, and even the boss model's own bug without me lifting a finger. Full post: https://natesnewsletter.substack.com/p/trust-ai-agents?r=1z4sm5&utm_campaign=post&utm_medium=web...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when AI execution gets cheaper but everything starts to feel the same? The common story is that cheaper models make advanced work a commodity, but the reality is that value moves toward the people who can imagine better work, bring context to it, and give themselves permission to run the experiment. In...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when an email/calendar agent becomes useful enough for real paperwork? The common story is that AI agents need a totally new setup for every hard job -- but the reality is that the same safe skeleton can learn on email, then carry into insurance appeals and tax-prep packets. In this episode, I share th...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when every AI model suddenly looks replaceable? The common story is that model choice is the strategy, but the reality is that useful work comes from matching the model, the task, and the workflow surface. In this episode, I share the inside scoop on how to pick AI models without turning model selectio...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when agents stop being generic chatbots and start working from your memory, skills, and owned context? The common story is that AI agents are just another interface for automation - but the reality is that the ownership layer around memory, permissions, and workflow is becoming the product. In this vid...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when every major AI story starts pointing at context instead of raw intelligence? The common story is that the AI race is still only about who ships the newest frontier model -- but the reality is that the next advantage is who can connect useful intelligence to the context where work and life actually...

Cheap intelligence is here, but that does not mean the model is the bottleneck. In this briefing, I breakdown GLM 5.2, the cost pressure open-source models are putting on frontier labs, and why the next competitive edge is likely to come from the context and harness layer around AI work. The core question is not whether a cheaper model can answer a prompt. It is whether a team has enough of its ow...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when every AI tool becomes useful, but none of them know how to pass work to each other? The common story is that agents will become autonomous and take work off your plate - but the reality is that the bottleneck moves to handoffs, state, receipts, and review. In this video, I share the inside scoop o...

What's really happening when AI moves from one-off prompts to recurring agents that reduce the work sitting in your head? The common story is that better prompting is the path to better AI - but the reality is that most useful work is a recurring situation that needs memory, context, and boundaries. In this episode, I share the inside scoop on the "loop of loops" idea: how small AI workflows can n...

Fable 5 is not just another smarter model. The important shift is that the bottleneck starts to move from model capability to our ability to imagine bigger, better-scoped work. Nate walks through five resets created by Fable 5: why benchmarks matter less than task size, why review queues and management matter more, and why the next edge belongs to people who can define whole jobs instead of writin...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening in the OpenAI versus Anthropic race? The common story is that OpenAI had the winning week and Anthropic is on defense — but the reality is that talent, pre-training cadence, and recursive self-improvement may tell a very different story. In this video, I share the inside scoop on why Anthropic may be s...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/p/ai-agent-ownership What's really happening when an AI agent starts doing real work for your team? The common story is that agents are confusing because nobody can agree on the definition — but the reality is simpler: if a system reads context, produces work, or touches a workflow, somebody has to own it. In this video, I sha...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening inside AI agents and OpenSkills? The common story is that better AI memory solves agent work — but the reality is more complicated. In this video, I share the inside scoop on why AI agents need portable procedures: Why memory alone does not solve agent work How prompt bloat turns into procedural debt W...

OpenAI filed to go public, and the headline question is whether the company is worth a trillion dollars. What kind of business the market is trying to value? In this executive briefing, I break down the four stories inside OpenAI's valuation: software, utility, infrastructure, and deployment. The episode explores why compute costs matter, how revenue quality changes the multiple, and why the harde...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening inside the OpenAI and Anthropic IPO story? The common story is that public markets are pricing better AI models — but the reality is that investors are also betting on the work layer around those models. In this episode, I share the inside scoop on the trillion-dollar AI bet: - Why cheap tokens alone d...

Read the full post on Substack: https://natesnewsletter.substack.com/ Codex is changing how I work because it is not just giving me better AI answers. It is letting me hand real computer jobs to an agent: find the files, read the transcript, compare versions, render the artifact, check the result, and keep going until there is something real to inspect. In this episode, I walk through why the unit...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when people argue about Claude Code versus Codex? The common story is that this is a coding-tool matchup — but the reality is that each interface trains a different way of working with agents. In this video, I share the inside scoop on why Claude makes steering agents feel natural, why Codex makes disp...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when people brag about burning AI tokens? The common story is that token burn is waste, a status flex, or just another confusing AI metric - but the reality is that it can become a feedback loop for delegated intelligence, better AI habits, and faster learning. In this video, I share the inside scoop o...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening with Opus 4.8, Claude Code, and the AI model race in 2026? The common story is that a stronger model automatically becomes the default tool — but the reality is that harnesses, compute, reliability, and workflow design now matter just as much as raw model capability. In this episode, I share the inside...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when AI makes everyone's work look polished? The common story is that AI makes people more productive -- but the reality is that it also makes old evidence less trustworthy. In this episode, I share the inside scoop on how to prove you are good at work when outputs are easier to generate than ever. Why...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when AI stops being a chat box and starts becoming a working context system? The common story is that better prompting is about clever wording — but the reality is that the work is moving toward cleaner context, better task shape, and agents that can stay oriented through long runs. In this video, I sh...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Product management is changing as AI makes first versions cheaper. The obvious advice is that PMs should prototype more, but the deeper shift is about judgment: deciding what should exist, what should be deleted, who a product is for, what standard it needs to meet, and what the company is willing to rely on. Nate walks throu...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ What's really happening when your user is no longer just clicking, but delegating work to an agent? The common story is that agent failures are engineering incidents — but the reality is that many of them are product analytics failures hiding inside the agent run. In this episode, I share the inside scoop on why product teams...

For deeper playbooks and analysis: https://natesnewsletter.substack.com/ AI can make PowerPoint decks, Excel workbooks, and Word documents faster, but faster is not the same as trustworthy. In this episode, Nate breaks down a practical workflow for AI Office files: prepare the sources, define the structure, constrain the artifact creation, and verify the output like a skeptical reviewer. The key i...