AI News & Strategy Daily with Nate B. Jones

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 software should do.Examples include authenticator codes, Notion copy and paste, Windows Calculator percentages, accounting behavior, and game mechanics. The practical takeaway: investigate a behavior, predict its result, and build checks that show whether you understood it.

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, focus, resourcefulness, and follow-through.How taste turns care about a problem into something you can build and test.Why agency means making an attempt and learning from it.What sustained focus contributes when starting new projects gets easier.How resourcefulness helps you keep the intent while changing tools.Why shipping a first version is only part of finishing the job.For builders and leaders making plans for 2027, the practical question is which previously ruled-out project deserves another look—and what it would take to make it useful to someone.Subscribe for daily AI strategy and news.Hosted on Acast. See acast.com/privacy for more information.

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 company records used to train AI agents.He distinguishes the work that creates value from the messages, documents, and presentations left behind. Through an invoice example, he asks who defines a task as done, what simulations can teach agents, and how workers and employers can preserve the context that makes work useful.Subscribe for daily AI strategy and news.Hosted on Acast. See acast.com/privacy for more information.

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 complement each other, and why useful product experiences matter more than leaderboard positions.From sorting a personal library to helping people manage everyday tasks, the next opportunity belongs to builders who understand their customers and use the products they sell.Subscribe for daily AI strategy and news.Hosted on Acast. See acast.com/privacy for more information.

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 DoorDash to Microsoft, Salesforce, and recruiting.He explains why a tool can become easier to leave while a trained agent becomes harder to replace, and what software buyers, sellers, and individual team members can do about it.Subscribe for daily AI strategy and news.Hosted on Acast. See acast.com/privacy for more information.

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 reasoning with Sol, and new opportunities for builders.He compares agent form factors with practical utility, explains why context matters, and weighs faster models and higher subscription tiers against time saved and value created.Subscribe for daily AI strategy and news.Hosted on Acast. See acast.com/privacy for more information.

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 from AI: defining the assignment, supplying the right context, making useful work repeat, matching reasoning to difficulty, and improving the next run.He explores why enterprise distribution matters, how source conflicts undermine answers, and why the price of a model is only part of the cost of getting a job done.Subscribe for daily AI strategy and news.Hosted on Acast. See acast.com/privacy for more information.

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, and why fewer retries can matter as much as the price per token.He also explores writing that preserves your intent, clearer stopping conditions for overnight work, and a practical way to rerun your own assignments when a new model arrives.Subscribe for daily AI strategy and news.Hosted on Acast. See acast.com/privacy for more information.