Reading up on ai-agents

Omarchy is blowing up. I've never been involved with anything in my career that has grown this fast. With Ruby on Rails, we had years to build solid institutions, teams, and relationships. With Omarchy, we've been forced to figure it all out in twelve days. It's exhausting, but also incredibly exciting. It was never sustainable with just Ryan and me running everything. That's how it was, more or less, up until Quattro. Lots of other contributors, but all the responsibility was on us to make sure the ship stayed afloat, the servers didn't crash, and fixes got pushed out quickly. Now it's time to build a proper institution. Durable, resilient, and competent. That's what we're doing here on Basecamp now. I'm spinning up teams for every facet of responsible distro management, and I'm getting an absolute outpouring of interest for all of them. Everyone wants to be part of this. We're winning hearts, minds, and volunteers at an astounding rate. Great! We need all of it to succeed. Because make no mistake: There are many people who'd love to see this rocket blow up before it reaches the moon. Aggrieved Linux users who don't like the sudden attention their exclusive hobby has received. Competing Linux distributions that are seeing our numbers explode. Mac stans who've sunk their identity into an apple. And, of course, any of the haters I've picked up in my quarter-century career speaking bluntly on the internet. They're not going to succeed. Because we've already become unstoppable. There's too much momentum, too much money, and too much support now backing this effort. We're living the Mandate From Heaven meme at the moment. And we are here to fulfill the prophecy: The Year of Linux on the Desktop! That has been a joke for two decades. But by the end of the year, nobody at Apple or Microsoft is going to be laughing. They're going to be scrambling. Because neither of these proud organizations currently has any method to counter the speed, vision, or ambition with which we're going to accelerate into the future of personal computing. This is the moment. This is the opening. This is our chance. For thirty years, we've been subject to one OS overlord or another. Dictating how we compute. Choking off competitors through platform malfeasance. Tollboothing the distribution. That ends now. Because Linux is going to win. And Linux is free. As in beer, speech, and source. But just because it's inevitable doesn't mean it's going to be easy. We have a lot of work in front of us if we actually want to make our mark. But there's never been a better time for this kind of delusional ambition. The age of agents is the unlocking factor. It sounds like a LinkedIn slogan, but it's true. Where the application of tokens goes, the innovation follows. We can fix everything. Let's do it together. Let's go. --- This is what I sent to the dozens of new volunteers who've signed up for teams within the new Omarchy organization yesterday. But we might as well broadcast our mission and intentions to the world too.

@dhh

I’m Noah, the founder of Instinct. Instinct is a personal agent that we’ve been building for the past few months. The interface is simple: there are no new interfaces. You can text or call it. It's trained to use a phone and a computer in the same way that humans do. Instinct combines simplicity with extreme capability. I’m thrilled with everything our early users are doing with Instinct. They’ve told us they’ve planned cross-country road trips, bought weekly groceries and concert tickets, and cancelled hundreds of dollars of subscriptions. Someone’s even planning their wedding with Instinct. We want to make Instinct the best personal agent for all of you. It’s available in an invite-only beta program while we’re actively bringing up more compute. I’m excited to see what you all do with it.

@noahrshinn

Really interesting new blog post from @openai for several reasons: 1) Shows an example of building with WebMCP, meant for when you want agents and and humans to collaborate on using a UI (like co-editing notebook cells). It's different than MCPs or APIs in that its exposed directly through the browser. Read the post for discussion of the tradeoffs. 2) They created a new kind of notebook which works with WebMCP that prioritizes meeting people where they are: you bring your own coding agent and files are just markdown. The author uses it to curate runbooks or high quality examples of how to run foundation model evals on their infrastructure. Notebooks are good for this since they require tinkering with state of long running jobs interactively while taking notes inline. And its open source ✨ Blog:

@HamelHusain

Friend just showed me how he's using a small army of voice agents with fake resumes to knock out expert network calls @ $1500/hr. The old world is unprepared for the new world.

@ChrisJBakke

i really don't want to use your agent, i want to use my agent to use your thing.

@ASpittel

Designing Grok Bot with Grok Bot

@johnbai

I'm kind of iffy on "skills discourse" but I think I came up with one so good that its worth sharing. The basic ask is to "describe the UX of my application completely". In doing so, agents will discover inconsistencies, bugs, and design errors that have never come up before

@steveruizok

The more capable AI agents become, the more SaaS they eat, the more I think SaaS as we know it will consolidate around System of Record software. AI doesn't replace a CMS / CRM. I expect to see those spaces get even more competitive, and even more niched down.

@yongfook

Cursor Designer, Ryo Lu: "Right now I'm running 10-20 GrokBot agents that automate 90% of my routine I have a Chief of staff agent. He knows about all my other bots and manages everything" In a 20-minute podcast, a Cursor Designer explained how to build a team of GrokBot agents that will work for you 24/7 Worth more than a $500 course on agentic engineering Watch today, then read how to build a Grok agents team from scratch in article below

@maestrooth

This is my desktop now. I have 7 random text edits holding prompts for my agents for different situations. Surely, this is not the future and a sign of how early it is.

@Suhail

Spencer is delivering on our promise for the fully agentic OS of The Future. This is even running off a local Qwen 27B model! We'll be shipping a version of this in Omarchy 4.1. GET READY TO ACCELERATE! 🤖🚀

@dhh

Claude Managed Agents can power many different UIs. Our new cookbook pairs Claude Managed Agents with AG-UI, @CopilotKit's open Agent-User Interaction Protocol.

@ClaudeDevs

Computer use, the browser tool, the Skills API, and the Files API are now generally available on the Claude Platform. Automate work in applications that have no API with fewer round trips per task, and build Claude Managed Agents on versioned skills and reusable files.

@ClaudeDevs

I've been tinkering with an AI to increase my “luck surface area” (basically, to find interesting opportunities that exist across my entire network) and the results are ... pretty interesting. Built on my corpus of personal & professional data - everyone I’ve met with, emailed, talked to, thousands of call notes, LinkedIn connections, emails, Slacks etc. Plus it does its own desk research on my contacts overnight (did that by itself without being asked, weirdly). Example - it suggested I introduce Marco (an insurtech founder, hiring for multiple roles) to Ben (an insurance headhunter I really rate). It pieced that together through a combo of Granola transcripts, emails, LinkedIn messages, and internal Slack messages. Powered by a social graph algorithm that scores relationships and potential intros - based on things like relationship strength, recency, communication style, and “likely-mutual-value”, etc. I left it running overnight, and it: > found people who have helped me with intros & advice, but where that help hasn't been reciprocated by me - then it suggested actions I could take to repay the favours > remembered that a colleague described her ideal mentor to me in a meeting *a year ago* - found someone in my network with the exact right experience, and drafted an intro > surfaced a bunch of insights about my own life - like a drop-off in social & fitness activity since becoming a dad(!) - and set up a local run club on WhatsApp The suggestions are… surprisingly good! And devoid of the usual AI slop. I talk a lot about luck surface area - putting yourself in situations where good things tend to magically happen. This is the first time I’ve built something that actually tries to increase that surface area for me and my network. I’m quite encouraged by the results, and it was surprisingly easy to build (with @claudeai, of course). Happy to share how for anyone who is interested in building their own. @bcherny

@edleonklinger

I just hired @bot as my Entrepreneur in Residence for

@iannuttall

we've kicked off an internal @sesame hackathon this week and there's so many cool projects floating around. digging into a few ideas myself now. what would you like to see built with sesame? (for those unfamiliar: remarkably lifelike voice personal agents)

@Stammy

Idea for SaaS: AI agent that observes your competitors "feature comparison with <your app>" lists. Builds the features they say you don't have. Then auto files a trade libel dispute requiring them to remove false information. Comparison lists are dumb in a post AI world.

@yongfook

Very excited to announce that general sign ups are now open at code[dot]storage We built this to be the fastest, most robust code storage platform available, and they only one made specifically for you and your agent

@pierrecomputer

Today we’re releasing an early preview of the /design command in Claude Code! from CC Desktop or CLI, try something like "/design a few options for {feature}" before you build — pick your fave artboard, edit it and implement.

@nateparrott

Code is mostly solved, but design isn’t. Introducing Tastelint! An agent that runs on every PR and surfaces design feedback. Reply below if you’d like to try it.

@shl

I think Grok @Bot is a glimpse into the future of personal AI agents. Here's my new tutorial where I show you how to set up 5 useful bots: 1. An advisor to create and manage your bots 2. A YouTube researcher to find outlier videos 3. An X scout to find viral and funny tweets 4. A digital Marie Kondo to clean up your inbox and save money on paid subscriptions 5. A personal concierge to save money on trips I also tested a Gamer bot to see if Grok Bot can install and play classic games like Doom, Red Alert, and Commander Keen. Plus, I discuss the biggest barrier to Grok Bot adoption and whether it can replace ChatGPT as my daily driver. 📌 Watch now:

@petergyang

Running list of AI agent ideas to make you more productive and more money: 1. The onboarding rescue agent. Watch PostHog for any new signup who stalls on the same step for more than 10 minutes, then have an agent send them a Loom style personal message or a CustomerIO email that answers the exact thing they're stuck on before they give up. 2. The pricing page bounce agent. Fire a PostHog webhook when someone hits your pricing page twice and leaves, have the agent enrich them with Apollo, and send a short email with the objection handler for their specific company size when it matters. 3. The second product in support agent. Point an agent at your Intercom/Plain inbox etc and have it tag every request that isn't actually about your product, the adjacent thing people assume you also do. It ranks them by frequency. 3. The you already answered this agent. Have an agent read your sent folder, your Intercom replies, and your sales emails, and pull the clearest explanations you've ever written about your product. It drops them into a swipe file your landing page and cold emails pull from. 4. The internal tool to product agent. Point an agent at your team's GitHub scripts, Retool apps, and Google Sheets, and have it flag the ones 10 other companies in your niche would pay for. 5. The review mining agent. Apify scrape every review of your top 3 competitors on G2 and Capterra, cluster the 1-star complaints with Claude, and get a ranked list of the features to build and the exact words to use in ads to poach those unhappy customers. 6. The sell what you give away agent. Once a week, feed your Granola/Gmeet call notes and Intercom threads into an agent that hunts for every task your team did for free that took more than 30 minutes. It clusters them, counts how often each came up, and ranks by demand. The top 3 become paid add ons. 7. The win pattern cloner. Pull your last 50 closed-won deals from HubSpot or whatever CRM you use, have an agent find the firmographic traits and the trigger event those buyers shared before they bought, build a lookalike list in Clay, and feed it straight into Instantly. 8. The self improving ad agent. Wire an agent to your Meta ads account that pulls the winners daily, uses Perplexity to scrape fresh Reddit pain points, generates new static creative with Nano Banana, checks it against your brand guide with a vision model, publishes, kills the losers, and scales the winners on a loop. An entire performance marketer running 24/7. 9. The first hour agent. Pull your last 500 signups from PostHog, split them into power users and churned users, and have the agent diff the first session event streams to find the one action power users took that churners skipped. Then force that action into onboarding with a PostHog feature flag. 10. The lost deal rescue agent. Have an agent pull your closed lost deals from your CRM, then monitor those competitors' status pages and pricing pages with a daily Firecrawl. The morning a competitor has an outage or raises prices, it drafts a personal reach out to the buyers you lost to them. 11. The Gemini video scout. Point Gemini at your competitors' YouTube demos, webinars, and conference talks, and have it watch the actual footage, not the transcript, to pull the features they're teasing and the UI they're showing. It reads what they demo on screen, not just what they write down. 12. The wrong answer agent. Run your product's top buyer questions through ChatGPT, Claude, Gemini, and Perplexity every week on a cron, and have the agent log the moment any of them start saying something false about your pricing, features, or positioning, then Slack you the exact wrong claim and the source it likely pulled from. Honestly the fun part is that once you build one of these, you can't stop seeing them everywhere, every manual task starts looking like an agent you haven't set up yet. That's kind of where my head is at lately, so I'll keep dropping agent ideas here and on @startupideaspod as I go, and if you build one that rips, tell me, I want to see it. Grab whatever idea is useful. I'm rooting for you.

@gregisenberg

The question I get most right now is "what should I turn into an AI agent?" Here is the 5 part test I use (works for Claude/Codex/Grokbot etc): 1. It has a repeated trigger, so the same kind of task keeps happening over and over. 2. The inputs are stable, so the information comes in a predictable shape every time. 3. The tools are clear, so there is a defined set of things it can actually go do. 4. There is a measurable finish line, so you can tell when it is done and whether it worked. 5. There is judgment in the middle, so each run is a little different and needs a real decision made in the moment. The first 4 are really just asking "can this be automated at all?" The 5th is the one that matters, because judgment in the middle is what makes it an agent instead of a simple automation. Once you see it this way, you start spotting agent work pretty much everywhere.

@gregisenberg

One person plus 20 agents working simultaneously can outperform an entire department of engineers at a magnificent 7 big tech co https://app.dealroom.co/news/note/garry-tan-on-the-new-rules-for-founders-the-2-4b-palantir-miss-and-why-a-markdown-file-is-an-employee

@garrytan

Hey @steipete you know I’m the ultimate clawboi - if you want my true competitive analysis openclaw ++ vibes / personality + local device (but tbh other than being cute doesn’t matter w cloud APIs, but we love a Mac mini moment) + hackable + multiplayer use (good in a group chat for slack) + crons - connector / MCP / gog constant death loop and management - maintenance while traveling grokbot @laurenleeplace ++ connector experience + consumer friendliness (AI pilled my very not ai native friend) + bot to bot hand offs - no multiplayer - vibes - opaque - not hackable eve @shardara @cramforce ++ enterprise connectors + easy to collaborate on building the bot + simple framework for config + evals, monitoring etc + I love chatSDK + tool control / approval UI is great - not consumer friendly - not really self service for non eng - vibes but that’s kind of a me problem codex @ajambrosino ++ just the best ++ code code code ++ computer / browser use + vibes are fine - actually hate the connector experience - no multiplayer - no little computer in the cloud hermes - vibes off just can’t do it

@clairevo

How the day begins in the age of agents.

@dhh

One of the biggest consumer AI opportunities is helping people close the tiny loops they keep avoiding. Think about the 47 little things sitting on your list that you keep not doing. Emailing back the person you owe a reply, disputing the wrong charge, rescheduling the appointment, things like that. Each one is small, but each one requires digging up context, making a decision, and sending a slightly uncomfortable message. So they just kinda sit there lol. The opportunity is an agent that does the hard 90% of each loop, finds the context, makes the call, drafts the message, so all you do is hit send. The wedge is going after one loop first and nailing it. Examples: 1. Warranty and rebate claims. People throw away hundreds because filing feels like homework. The agent watches your purchases, knows what's claimable, fills the forms, and hands you the check. 2. The "I should switch" loops. You're overpaying for insurance, your phone plan, your electricity, and you know it, but comparing is a slog. The agent monitors and drafts the switch when it's clearly worth it. 3. The kid-logistics loop. The permission slip, the form the school needs signed, the birthday party you never RSVP'd to, the summer camp that's about to fill up. For any parent, it's a hundred tiny deadlines a month, and the agent catches each one and drafts the response. Things like that. Just giving some ideas to get the creative juices flowing. Tons of apps like this will be created over the next 12 months. It just makes sense.

@gregisenberg

Agent Plugins are the future of Agent Skills

@GoogleCloudTech

introducing http://omg.dev a personal computer for your coding agent. always on. work less, not more. live today.

@BennyKokMusic

We built a software factory for AI SDK. Each step is an agent, and humans merge changes. Four weeks in: ▪️ The factory authors up to 35% of merged PRs ▪️ It closed 70% of issues in July ▪️ Open bugs are down 25% https://vercel.com/blog/building-a-software-factory-for-ai-sdk

@vercel

/show-me: compact visual representations for coding agents

@dexhorthy

I made an Open Source version of the Grok Bot complete with all the features It does not need any subscriptions at all and uses the existing subscriptions you already have It can spin up virtual machines from @asciidotdev It uses @trycua for computer use It also has plugin support supporting all the integrations by @composio Routines coming soon :D Link to the repo in the comments

@milindlabs

Introducing Grok Bot, now in early beta. Bots are AI teammates that do real work for you. They sign in to your tools, use them just like you do, and come back with finished work.

@bot

Hiring Agents Is the Easy Part

@AlanaDLevin

Linux adoption among programmers is about to go parabolic. Any missing app can be recreated easily. The open-source advantage with agents is unstoppable. Nobody is going to be waiting for Apple to sign their shit. Just keep a Mac Mini as a remote builder for iOS work. Done.

@dhh

Fair warning: Omarchy is leaning fully into the future and the age of agents. This is how we truly democratize Linux, bring the malleable OS to all, and capture as much of this newfound intelligence as possible. If that's not your jam, there's a lot of anti-AI distro options ✌️

@dhh

I’ve been asked for an updated daily schedule given Superlogical, second kid, and AI usage. Here you go: - 530 awake, 20 minute interval cardio - 600 review nightly agents, start new - 700 wake and feed newborn - 730 wake, dress toddler - 745 breakfast with family - 800 off to work - 1200 lunch (often with wife) - 1530 to 1945 family time - 2000 hang with wife, start new nightly agents Early 2026 I mentioned a goal of “always have an agent running” but admitted I was realistically only getting agents for a couple hours off work. As of today, I’ve gotten a LOT better, I regularly have at least 2 agents running constantly with many running through most of the night. I’ll cover this in more detail another time!

@mitchellh

We're recording round two of this on Monday! While the calendar says it's only been a year, it feels more like twenty since we've entered the age of agents.

@dhh

Spotify has run this exact play before. In March 2020 they open sourced Backstage, the internal portal their engineers built to manage 14,000 software components. It became the industry standard for developer portals. Over 3,400 companies adopted it, including Netflix, American Airlines, and Expedia. Then Spotify built a paid enterprise product, Portal, on top of the free standard they created. Xirp is the sequel, aimed at a bigger prize. Look at what it actually does. Every agent session runs in its own git worktree, so 50+ agents can work on the same codebase in parallel without touching each other. And context lives outside the agent itself, so you can switch from Claude Code to Codex to Gemini mid-project and the full working state carries over. That second part is the whole strategy. Anthropic, OpenAI, and Google are spending billions to make their agent the one your team depends on. Xirp makes them interchangeable. Your dependency moves up a layer, to the environment holding your sessions, your service catalog, and your architectural decisions. Which happens to plug into Portal, the product Spotify sells. The model vendors are fighting to own the agent. Spotify is betting the agent becomes the commodity and the context becomes the product. Last time they made that bet, 3,400 companies took the free version and Spotify sold them the enterprise one. The music streamer from Stockholm is quietly building one of the better dev tools businesses in the industry, and almost nobody noticed the first time.

@aakashgupta

the coupling of a filesystem to agents was so dumb why did we do this if you want to support skills even for a dumb in memory agent loop you need a virtual fs why why why

@thdxr

If you’re not reading the code, whether explicitly or through agentic inquiry, one or more of these is true: ○ You’re a beginner ○ Software is throwaway ○ You’re prototyping ○ You have no users / revenue ○ You’re taking on debt & risk ○ Your problems are basic And btw. All of this is fine. But the reality is that models are still not at the “full autonomy” stage yet. They make rookie mistakes, they go down bad architectural paths. I just had the best model in the world add a nonsensical 700ms delay to “settle” something and it told me “you’re right, I was cargo-culting” 🤨 I am on the camp that this need will diminish more and more. Most code is indeed going to be assembly-like. But we also have the global internet and software infrastructure riding on these models and narrative, and we have to respect that.

@rauchg

Today, we kill the AI agent and introduce the AI employee: Lindy Teammate. It’s just like working with a real employee. Everyone on your team can simply hit it up on Slack and get 10x more done. Lindy also keeps learning, and becomes the self-updating brain of the whole business. Live now:

@Altimor

Are agents really killing UI?

@posthog

Great to see Dell collecting their well-deserved accolades for the XPS 13. And doubly so that YouTube reviewers are now focusing so much on Linux compatibility! The XPS 13 is a great choice for an Omarchy terminal/agent deck. https://www.youtube.com/watch?v=A2B7oI0FYqo

@dhh

this is great! but don't leave claudes alone :( in herdr any agent can talk to any agent. no protocol, no MCP, no setup. it's just terminals.

@herdrdev

Omarchy and AI makes it so easy to customize this. I just prompted my agent to make a personal plugin for the speedtest that "looks like a mustang speedometer", and voila, I had dhh.speedtest plugin. AI truly enables the malleable operating system!

@dhh