AI News & Strategy Daily | Nate B Jones

AI News & Notes: Week of Sep 8

AI TechTalk with Nate and Mike [Episode 2]

Beat the 95%: Why AI Projects Fail—And How Builders Win

Claude Code Interpreter Deep Dive: Real Workflows + Prompts

Beat Knowledge Rot: The 3 Types of Reading You Need in the Age of AI

Prompting Playbook 2025: 4 Beginner Moves, 12 Pro Patterns

6 Rules for Winning with AI: Startups vs Enterprises

In this monologue podcast, the speaker explores the differences in how AI-native startups and AI enterprises are adopting and implementing AI technologies, highlighting the disparities in their approaches, tool stacks, and constraints. The speaker presents six core learnings derived from studying both types of organiza...

Why GPT-5 Writes Like a Robot (And How to Jailbreak It)

ChatGPT-5 Prompting is Too Hard: This Video Makes it Easy for You

7 Fatal Mistakes with MCP That Kill AI Projects

Manus AI: What Manus Tells Us About the Future of AI Agents

n8n: How to build AI agents that don't break

In this monologue podcast, Nate discusses the challenges and best practices for building AI agents using tools like N8n, particularly for users in the "Goldilocks" zone—those who want customizability without being full-fledged coders. He warns against the complexity trap of visual workflow builders, advocating for simp...

Stuck in the Chatbox? Here's When You Actually Need the API

In this podcast, the speaker addresses the gap in guidance for chatbot users transitioning to AI APIs, highlighting the misconception that APIs are exclusively for developers. The speaker argues that chatbot interfaces are intentionally limited demos of the full AI capabilities and encourages listeners to consider APIs...

The New AI Operating System of Work—Goodbye Docs, Hello Executable Artifacts

Nate B Jones discusses the shift towards a new operating surface at work, driven by advancements in AI like ChatGPT-5, Claude, and Gemini. He argues that the main bottleneck in modern companies is proving decisions, traditionally done through documents, spreadsheets, and slides. He proposes a move from static deliverab...

AI Didn't Kill Engineering: It Raised the Bar

AI Video, Taylor Swift, and Sydney Sweeney: How AI Broke Marketing's 20-Year Optimization Status Quo

In this monologue podcast, Nate discusses the impact of AI on marketing, focusing on how it accelerates existing feedback loops and leads to a local maxima where artificial authenticity outcompetes genuine authenticity. He uses examples like the Sydney Sweeney ad controversy and Taylor Swift deepfakes to illustrate the...

I made 17 AI Predictions for 2025—Here's What Actually Happened (41% Were Right)

In January 2025, Nate B Jones made 17 predictions for the year and now, eight months in, he reviews their accuracy. He categorizes them into "hits," "partials," and "misses," detailing his reasoning for each. Seven predictions were "home runs," including the rise of AI creators and synthetic content. Six were partial h...

AI Bubble? Why the Doom Narrative is Wrong

Nate B Jones discusses the narrative that AI is in a bubble, driven by factors like GPT-5's disappointing rollout, Meta layoffs, Sam Altman's bubble admission, and studies showing AI project failures. He argues this narrative overlooks key facts: chatbot use case saturation, progress in complex agentic applications, ex...

23 Ways ChatGPT Still Sucks After 3 years (And How to Fix Them)

Anthropic's Trojan Horse: How Claude Code Plus a Million Tokens Could Win the Workplace