I'm super excited to be speaking at O'Reilly's July 23 Superstream. I'll talk about freeing your agent from the terminal and using it as your anything assistant. Be sure to check it out! lnkd.in/eE3ca5c2?

On last night's "Show Us Your (Agent) Skills Episode 5" I demo'd Rook, my personal agent that follows me _anywhere_ and gains the skills necessary to manipulate new environments we encounter. Video: youtube.com/watch?v=6zju... Show notes (w/ timestamps linked to video): github.com/hugobowne/sh...

Show Us Your (Agent) Skills Episode 5 - w/ John Berryman, Isaac Flath, & Matt Palmer

YouTube video by Vanishing Gradients

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On Thursday I'm presenting a fun project I've been working on. I'm building "Rook", an agent that follows me anywhere (websites, native applications, physical locations). And wherever it goes it gains the skills of it's environment. I have plans for the beast and I need your help! luma.com/0t8kiodw

Show Us Your (Agent) Skills Ep. 05 · Luma

What are people at the top of the game building with AI agents and how are they doing it? Are they Claudemaxxing with 8 terminals open at once? Or…

luma.com

Models have gotten good at implementing a mechanical workflow as a skill. However, implementing a workflow that makes decisions based upon "taste" is going to continue to be challenging. How do you all deal with matters of "taste" in AI workflows?

I built an agent skill that edits video - ums, silences. Recorded a walkthrough on how it works; the skill edited that recording! Post shows setup, edited vs raw, and the skill to fork. https://arcturus-labs.com/blog/2026/05/31/my-ai-skill-edited-this-video-that-explains-my-ai-skill/

You don't need to rip out your search stack to add agentic AI to it. A thin AI layer on top of what you have is enough. I mapped out 4 levels of adoption with a live demo at each stage. http://arcturus-labs.com/blog/2026/01/18/incremental-adoption-of-agentic-search/

Twin Sun's code review bot approves 70% of PRs on its own. No human sees that code until it's merged. Two principles that make a dev factory work - and neither is 'just be generic.' https://arcturus-labs.com/blog/2026/05/03/the-dark-factory-how-twin-sun-automated-their-entire-dev-pipeline/

www.youtube.com/watch?v=kkvi...

The Dark Factory: How Twin Sun Automated Their Entire Dev Pipeline

YouTube video by Arcturus Labs

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AI product development evolves by learning from prior eras: prompt tricks -> chat/tool use -> workflows -> agents. I mapped the arc from 2022 to now: https://arcturus-labs.com/blog/2026/03/22/the-ai-product-era-youre-building-for-might-already-be-over/ Which lesson do we still underuse?

We need to Unharness our agents from the IDE. "Agent harness" frames them as coding tools – but agents are the building blocks of the future AI products, carrying context, memory, skills, and interfaces across whatever software we move through. arcturus-labs.com/blog/2026/04...

Unharnessed Agents Power the Future of AI Products

The next era of AI products will not be built around individual chatbots or coding assistants. It will be built around agents that carry context, tools, skills, and interfaces across every part of dig...

arcturus-labs.com

E-commerce sites - are you looking to improve your product search? It's time to look into AI. It's simpler than you think! In my new post I'll explain how to adopt AI incrementally, improve search relevance, customer experience, and conversion rate. arcturus-labs.com/blog/2026/01...

Incremental AI Adoption for E-commerce

Transform your e-commerce search from basic keyword matching to conversational AI—one step at a time. Learn how to incrementally adopt AI without overhauling your existing infrastructure, starting wit...

arcturus-labs.com

𝐓𝐡𝐢𝐧𝐤 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐋𝐋𝐌 𝐚𝐬 𝐚𝐧 𝐢𝐧𝐭𝐞𝐫𝐧 𝐨𝐧 𝐭𝐡𝐞𝐢𝐫 𝐟𝐢𝐫𝐬𝐭 𝐝𝐚𝐲. The AI intern is: - 𝐁𝐫𝐢𝐠𝐡𝐭 𝐛𝐮𝐭 𝐧𝐨𝐭 𝐩𝐬𝐲𝐜𝐡𝐢𝐜 - 𝐏𝐫𝐞𝐟𝐞𝐫𝐬 𝐟𝐚𝐦𝐢𝐥𝐢𝐚𝐫𝐢𝐭𝐲 - 𝐍𝐞𝐞𝐝𝐬 𝐭𝐢𝐦𝐞 𝐭𝐨 𝐭𝐡𝐢𝐧𝐤 - 𝐇𝐚𝐬 𝐚𝐭𝐭𝐞𝐧𝐭𝐢𝐨𝐧 𝐢𝐬𝐬𝐮𝐞𝐬 - 𝐂𝐚𝐧 𝐛𝐞 𝐚 𝐜𝐨𝐧𝐯𝐢𝐧𝐜𝐢𝐧𝐠 𝐥𝐢𝐚𝐫 - 𝐇𝐚𝐬 𝐮𝐧𝐮𝐬𝐮𝐚𝐥 𝐯𝐢𝐬𝐢𝐨𝐧 - 𝐂𝐚𝐧'𝐭 𝐟𝐨𝐫𝐦 𝐧𝐞𝐰 𝐦𝐞𝐦𝐨𝐫𝐢𝐞𝐬 Full blog post is here arcturus-labs.com/blog/2025/10...

Context Engineering Requires AI Empathy

Transform your AI applications by thinking like an AI intern on their first day. This post reveals how empathy-driven context engineering leads to better LLM performance, covering everything from hand...

arcturus-labs.com

I had an absolute blast talking about the "7 Deadly Sins of AI Applications" with Hugo Bowne-Anderson, and I'm really pumped to see it in text form now! (But I do think that neither cartoon John or cartoon Hugo are as handsome as the real deal.) hugobowne.substack.com/p/patterns-a...

@jnbrymn.bsky.social and I are going to have a controversial discussion where maybe we don't agree maven.com/p/3ad9c7/ai-...

AI Chat Startups - Is the bubble about to pop?

Investor money chases chat-style interfaces for every domain. I believe this is wrongheaded: ChatGPT and pals will do your domain better as they address more and more long tail-use cases, and better i...

maven.com

I'm super excited to present to 7CTOs tomorrow on "Wresting with AI Evaluations" Register here: lu.ma/u9cp3exb

Cutting Through AI Hype with John Berryman (Part 2 of 2) · Zoom · Luma

Join us for the second in a two-part series that goes beyond AI buzz and into practical insight. This event will feature a dynamic blend of presentation, group…

lu.ma

You probably knew you could turn an LLM into a classifier. But the basic approach returns a hard classification – yes or no; good or bad. In this post I'll show you a simple technique to make your LLM classifiers more nuanced – they tell you HOW good or HOW bad something is.

With the staggering amount of AI paradigms – Workflows, RAG, Agents – it seem impossible to get started learning AI and building your own projects. But once you realize that all of the ideas are built upon the same simple foundations, you become free to let your ideas flow.

The Hidden Simplicity of GenAI Systems

At first, GenAI seems neatly split into agents, RAG, and workflows, but up close, it’s messy. This talk clears the fog by uncovering the small set of principles behind all major patterns. Once you gra...

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This should be a really fun talk, Shawn Simister and I have been recalling to ourselves how it all worked. What we realized is that we were doing an early form of LLM-as-judge back in early 2023. maven.com/p/da8264/how...

How Evals Made GitHub Copilot Happen

GitHub Copilot stands as one of the first commercially successful generative AI applications. To make the product work, the copilot team had to invent evaluation methodologies with no existing bluepri...

maven.com

I'm looking forward to seeing you live-code a vector database. Lucky for me my only job for the call is to throw tomatoes. :D

Doug Turnbull@softwaredoug.bsky.social · last yr.

Live coding a vector db (HNSW) Wednesday. It'll be fine right? Be kind @jnbrymn.bsky.social

MAJOR ANNOUNCEMENT SoftwareDoug LLC has accepted $2K in seed funding from Turnbull Family Grocery Fund to bring you search/AI/RAG consulting, coaching, and training

OpenAI just revolutionized image generation, but that's just the beginning. The real game-changer? Visual reasoning is coming - where AI won't just manipulate images, but will actually think through problems using visual simulation.

@merlehazard.bsky.social well hi! Any new economic ballads recently? Surely you've no lack of inspiration right now. There's got to be some sort of ballad related to tarrifs.

Exciting times ahead! As we enter a new golden age of creation with LLMs, I dive deep into RAG, AI-assisted coding, and the future of dev tools in my latest podcast with @dmitrykan.bsky.social for Vector Podcast

Dmitry Kan@dmitrykan.bsky.social · 2y ago

People in every walk of life are much more effective and efficient at creating.. if you love creating, I think we are approaching a new golden age, and it is exponential” youtu.be/60HAtHVBYj8 new episode with @jnbrymn.bsky.social

👋 Want to know how to build AI agency into your application? Do it incrementally. Vlog here: youtube.com/watch?v=f5qW... and original post in video description. 🤙

Building Reliable AI Apps? Start by Firing Yourself. Don't dive straight into complex AI agents. Start manual, document processes, then systematically automate each task. Full breakdown + case study: arcturus-labs.com/blog/2025/01...

Turnbull's law: "The best way to get the right answer on the Internet is not to ask a question; it's to post the wrong answer." I love it! :D

Home for the holidays means cozy blankets, the scent of pine, and a tech book in the stocking. Prompt Engineering for LLMs—the perfect gift for the developer who finds magic in code and creativity in AI.

I recorded 2 podcasts this week all about LLM application development. My recordings will be out soon, but until then make sure to check out these great programs: How AI is Built w/ @nicolaygerold open.spotify.com/show/3hhSTyH... Vector Podcast w/ @DmitryKan open.spotify.com/show/13JO3vh...

How AI Is Built

Podcast · Nicolay Gerold · How AI is Built dives into the different building blocks necessary to develop AI applications: how they work, how you can get started, and how you can master them. Build on ...

open.spotify.com

This is super exciting: Prompt Engineering for LLMs, has been selected for an upcoming beta feature on the O'Reilly Learning platform—AI-powered audio summaries. They've created two versions (next posts) tell me what you think.

Look out folks! I am Liu-certified to be an AI Consultant now! Kidding aside, this course really helped me organize how I think about consulting. If you're thinking about tech consulting (even outside of AI), you should consider joining the next cohort maven.com/s/course/3aa...