AI News & Strategy Daily with Nate B. Jones

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 notice each other, pass context, stop at the right moments, and bring you in only when judgment matters.Why a prompt is not the same thing as a loop How recurring jobs can hand off context without pretending to run your life What a school-trip workflow reveals about practical agents Where loops fit into research, open tasks, and daily attention How to spot one repeated job in your own life that could become a loopThis episode is for builders, operators, creators, and teams who want AI systems that carry real recurring load instead of adding another dashboard to manage. The shift is not magic autonomy. The shift is remembered workflows with clear state, useful triggers, and human boundaries.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.

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 stronger than the headlines suggest, and why the most important AI story may be happening outside the model labs entirely.Why the obvious OpenAI victory narrative is incomplete How Anthropic's pre-trained model position changes the race What talent movement says about recursive self-improvement Why Midjourney's medical imaging bet matters Where AI energy is moving beyond OpenAI and AnthropicFor builders, operators, and AI strategists, the shift is not just who wins the model horse race. It is where intelligence, capital, and applied products start compounding into new categories.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.

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 workHow prompt bloat turns into procedural debtWhat skills and runbooks actually make reusableWhere verification becomes the real quality barFor operators, builders, and teams, the opportunity is real: AI agents get more useful when your context and your procedures can move with you. OpenBrain gives agents the context; OpenSkills gives them the repeatable way to work.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.

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 do not capture the value- How harnesses turn raw intelligence into real work- What forward-deployed engineering reveals about deployment- Where companies should own the AI work layerFor operators, builders, and executives, the takeaway is direct: using AI tools is useful, but durable leverage comes from owning the harness around the model.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.

What's really happening inside the agent protocol stack as Google I/O kicks off? The common story is that every new protocol is a must-have standard — but the reality is more complicated.In this postcast, I share the inside scoop on the six agent protocols shaping how AI agents actually ship and how customers experience them:Why three protocols are becoming the real agent stackHow MCP, A2A, and AGUI map to core agent jobsWhat separates a standard from a contested protocolWhere payment protocols collide with customer trustFor builders and operators, the agentic substrate is a real lever on customer experience, but only if you stop chasing acronyms and start asking which protocols actually shape the workflow you're shipping.Subscribe for daily AI strategy and news. For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Hosted on Acast. See acast.com/privacy for more information.

What's really happening inside AI investment decisions at most companies? The common story is that you need an AI strategy — but the reality is more complicated.In this video, I share the inside scoop on how to allocate capital across build, buy, hire, and wait for AI agents and workflows:Why workflow shape, not AI strategy, drives investmentHow to pick between automate, build, buy, hire, waitWhat separates a real AI hire from a unicornWhere most agentic AI projects quietly failFor operators and executives, the agentic era opens unprecedented upside, but only if you stop chasing a singular AI strategy and start making disciplined capital allocation decisions one workflow at a time.For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Hosted on Acast. See acast.com/privacy for more information.