# Nate's Substack Daily newsletters on AI strategy, news, and implementation for practitioners and leaders who are past the hype and ready to build. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Why "good enough" everyday AI could strengthen the case for Apple DevFeed: [Why "good enough" everyday AI could strengthen the case for Apple]() Original publisher: [Read original article]() Author: Nate Published: 2026-09-14T13:03:21Z Content type: opinion Language: en Sources: [Nate's Substack]() Topics: [Artificial Intelligence]() Tags: [ai]() ### AI overview The commentary argues that everyday AI may soon become good enough and presents this as a strong case for Apple, while suggesting that the argument evaluates the wrong measure. ### Source excerpt Everyday AI is about to be good enough. That's the strongest case anyone has made for Apple in two years, and it measures the wrong thing. ## Why the Assumption That Someone Must Win Is Shaping AI Decisions DevFeed: [Why the Assumption That Someone Must Win Is Shaping AI Decisions]() Original publisher: [Read original article]() Author: Nate Published: 2026-09-13T15:03:46Z Content type: opinion Language: en Sources: [Nate's Substack]() Topics: [Artificial Intelligence]() Tags: [ai]() ### AI overview The article argues that AI decisions are being shaped by the assumption that someone must win, and questions whether that assumption is correct. ### Source excerpt Almost every decision being made about AI right now assumes someone is going to win. That assumption shapes what gets built and what gets restricted -- and I think it's wrong. ## Omarchy lets an AI agent rewrite the whole desktop. Here are 8 changes you can make on your Mac instead. DevFeed: [Omarchy lets an AI agent rewrite the whole desktop. Here are 8 changes you can make on your Mac instead.]() Original publisher: [Read original article]() Author: Nate Published: 2026-09-11T13:00:25Z Content type: opinion Language: en Sources: [Nate's Substack]() Topics: [Artificial Intelligence](), [AI Agent]() Tags: [ai](), [ai-agent]() ### AI overview An opinion piece arguing that AI makes interfaces easier to imagine and build, and introducing Omarchy in the context of computers for AI agents. ### Source excerpt AI is making interfaces cheaper to imagine and build. A growing population of agents will need computers of its own. Enter Omarchy. ## GPT-6 Astra, computer use, and longer-running agents DevFeed: [GPT-6 Astra, computer use, and longer-running agents]() Original publisher: [Read original article]() Author: Nate Published: 2026-09-07T13:03:27Z Content type: opinion Language: en Sources: [Nate's Substack]() Topics: [computer-use](), [gpt-6-astra]() Tags: [agents](), [astra](), [computer-use](), [gpt-6-astra]() ### AI overview The article considers how better computer use and longer-running agents could make more possibilities worth exploring, and discusses what work to reconsider giving GPT-6 Astra. ### Source excerpt Better computer use and longer-running agents make more possibilities worth exploring. What to reconsider, and how to give Astra the work. ## GPT-6 Astra and Fable 5.1: Starting and Reviewing Self-Directed Work DevFeed: [GPT-6 Astra and Fable 5.1: Starting and Reviewing Self-Directed Work]() Original publisher: [Read original article]() Author: Nate Published: 2026-09-06T15:03:01Z Content type: opinion Language: en Sources: [Nate's Substack]() Topics: [gpt-6-astra](), [Fable]() Tags: [fable](), [gpt](), [gpt-6-astra]() ### AI overview The article discusses changes involving GPT-6 Astra and Fable 5.1, focusing on starting self-directed work with minimal input, how long it can run without supervision, and the role of the user when it returns. ### Source excerpt What changed this week, with GPT-6 Astra and Fable 5.1, is how little you have to say to start one, how long it runs without you, and what your job is when it comes back. ## Auditing an AI setup and keeping key components independent of providers DevFeed: [Auditing an AI setup and keeping key components independent of providers]() Original publisher: [Read original article]() Author: Nate Published: 2026-09-02T13:01:35Z Content type: opinion Language: en Sources: [Nate's Substack]() Topics: [Artificial Intelligence](), [audit](), [prompt](), [test]() Tags: [ai](), [audit](), [plan](), [prompt](), [setup](), [test]() ### AI overview The article discusses a $600-plus AI setup, components kept outside individual providers, and a test used to evaluate expensive plans. ### Source excerpt My $600-plus AI setup, what I keep outside every provider, and the test each expensive plan has to pass. ## How Industry Background Qualifies You for a Forward-Deployed Engineer Role DevFeed: [How Industry Background Qualifies You for a Forward-Deployed Engineer Role]() Original publisher: [Read original article]() Author: Nate Published: 2026-08-23T15:02:42Z Content type: opinion Language: en Sources: [Nate's Substack]() Topics: [Job](), [Artificial Intelligence]() Tags: [ai](), [industry](), [job]() ### AI overview The article discusses the forward-deployed engineer role at AI labs and argues that industry experience can qualify candidates for it. ### Source excerpt The forward-deployed engineer is what every AI lab is hiring while promising autonomy. Your industry background is the part that qualifies you. ## Using GLM-5.3 for Expensive API Work in an Existing Coding Harness DevFeed: [Using GLM-5.3 for Expensive API Work in an Existing Coding Harness]() Original publisher: [Read original article]() Author: Nate Published: 2026-08-21T13:02:04Z Content type: article Language: en Sources: [Nate's Substack]() Topics: [coding]() Tags: [coding](), [cost](), [model]() ### AI overview The article discusses retaining an existing coding harness while using GLM-5.3 for expensive API work, with attention to whether the cheaper model reduces costs. ### Source excerpt Keep the coding harness you already built while GLM-5.3 moves expensive API work to a much cheaper model in minutes. ## A guide to building personal software for non-developers DevFeed: [A guide to building personal software for non-developers]() Original publisher: [Read original article]() Author: Nate Published: 2026-08-19T13:01:12Z Content type: tutorial Language: en Sources: [Nate's Substack]() Topics: [Software](), [coding]() Tags: [guide](), [personal](), [software]() ### AI overview A guide for non-developers on turning a personal software idea into a working project by choosing an appropriate approach and making key decisions. ### Source excerpt Build it! The complete guide for non-developers: pick the right shape, make the few decisions that matter, and turn one stubborn wish into working personal software. ## A positive review of Grok Bot for first-time AI users DevFeed: [A positive review of Grok Bot for first-time AI users]() Original publisher: [Read original article]() Author: Nate Published: 2026-08-14T13:03:41Z Content type: opinion Language: en Sources: [Nate's Substack]() Topics: [Bot](), [Artificial Intelligence]() Tags: [ai](), [bots]() ### AI overview The author gives a strongly positive opinion of Grok Bot, describing it as especially approachable for people who have never used an AI product. The supplied text also mentions two Bots the author would recommend, but does not identify them. ### Source excerpt I'm having more fun with Grok Bot than anything I've touched this year. It's the first AI product I'd hand to someone who has never used one, and here are the two Bots I'd start with. ## Why Teams Resist AI Rollouts: Concerns About Job Security and Organizational Change DevFeed: [Why Teams Resist AI Rollouts: Concerns About Job Security and Organizational Change]() Original publisher: [Read original article]() Author: Nate Published: 2026-08-09T15:00:34Z Content type: opinion Language: en Sources: [Nate's Substack]() Topics: [Artificial Intelligence](), [Tool]() Tags: [ai](), [ai-tools]() ### AI overview The article argues that team members may resist AI rollouts because they are concerned about the personal and employment consequences if the tools succeed. ### Source excerpt Your team isn't asking whether AI tools work. They're asking what happens to them if it does. ## Three Checks for Verifying an Agent's Email Attachment Before Sending DevFeed: [Three Checks for Verifying an Agent's Email Attachment Before Sending]() Original publisher: [Read original article]() Author: Nate Published: 2026-08-07T13:02:23Z Content type: tutorial Language: en Sources: [Nate's Substack]() Topics: [email](), [file]() Tags: [agent](), [email](), [file]() ### AI overview The article describes an agent attaching the wrong file to an email and incorrectly reporting success. It presents three checks for verifying the attachment before sending, along with a preliminary question. ### Source excerpt An agent attached the wrong file to my email and reported success. I almost hit send. Here are the three checks I run now, and the question I answer before all of them.