Reading up on ai-agents

- ux is :chefskiss: designers cooked - browser use/audio to text is not best in class - was wowed by front end design. did a great job at my newsletter pdf - love primitives of goals, ideas, library - was surprised by podcast gen, cool! - love lineage of tasks and then detailed history of tool calls, etc. more coding agents need this pretty ux - avatar generation is delight delight delight - gonna be great for: personal wellness, shopping - progressive permissions were really nice - felt like it was earning trust - voice not annoying: good job

@clairevo

best multi agent harness outside of the labs?

@saranormous

OK, this is fun. The next @NotionHQ agent will now also do this. 🫡

@mschoening

I recorded how I use agents day to day. In this video: • Agents spawn other agents to check whether performance improvements actually helped in production. • I have an agent fix UI flicker and test the result in a portal. • We investigate and fix an `amp clone` bug for a Nix user. • I toggle feature flags directly from the remote machine. • I ask an agent for "irrefutable proof" that its fix works. You can see all the prompts, what the agents do, and how I review their work (or don't). Timestamps: 0:15 Shipping and monitoring performance improvements 2:11 Investigating an amp clone bug in Nix 3:51 Fixing UI flicker and testing in a portal 5:55 Starting an agent to promote Recap to an opt-in experimental feature 7:45 Previewing the sidebar flicker fix in a portal 9:38 Reviewing production performance canaries 11:45 Checking in on the production fix and granting read-only log access 12:47 Check Recap Experimental Setting Copy 13:39 Check in on amp clone Nix fix 14:49 Sidebar fix deployment check schedule 15:35 Checking in on performance fix thread's log analysis 16:14 Asking the agent for irrefutable proof of its fix 17:00 Checking Recap experimental setting 18:31 Testing a mechanical refactor of the CLI 21:48 Checking amp clone nix fix agent evidence 23:20 Checking feedback from Slack

@thorstenball

That's why Tobi is the CEO, not a random employee. This idea that a private company should be a small "democracy" and hierarchy shouldn't exist is total bs. I run my companies the same way. I make the calls, my AI agents/employees execute. I don't involve them in the decisions and I don't expect them to particularly care - I pay them to do a job and they get it done. Bad/good decisions are on me, for better or for worse.

@SimonHoiberg

TL;DR of my new article: the 9 Instinct prompts people are actually running. Instinct is three weeks old and invite-only, and The Information says it is already in talks to raise another $1B at a $10B valuation, two weeks after being valued at $2.5B. The public argument about it is a privacy fight. Meanwhile the people who actually have it are quietly using it to find money. I ran @slashlast30days on it eight times, then six direct X sweeps, and pulled the 9 prompts worth stealing. 💰 The unclaimed-property sweep. @peterpham's tip got him $845. My tightened version got $2,182.72 across 5 properties, found my SSN proof, and signed the forms off a passport photo. Then @morganb ran my exact wording and posted $2,222.57 🧾 @EliLanger's Amazon back-refund audit: a numbered checklist across your ENTIRE order history, not just recent orders. His run took 5 hours over 16 years of purchases. Check the refund card is still active first ✈️ Track the fare after you already bought it and chase the airline for the difference (@DavidPawlan). It tracked fine, then needed a human for the actual call 🔭 Monitor-and-book as a standing order. @VoyageBliss connected secondary frequent-flyer accounts instead of his primary, and scoped a read-only token for everything else. Read-only, single purpose, revocable 📸 Screenshots plus "can you do this for me". Six words got a soccer registration form filled, a password reset, and a birth certificate pulled out of an old email ☎️ Bill negotiation with a hand-back. @pitdesi went $100 to $60 on Comcast. When it hit a wall it handed him the number AND the exact script. The call took 3 minutes 📬 Forward the email instead of connecting the inbox. Your Instinct got its own address on Sept 8, so you can hand it one thread instead of your whole account 🔍 "Show me your activity log." @jbahrdestefano got banned by Resy, asked his bot what it had been doing, and found a reservation monitor quietly running 200 API requests an hour around the clock. He called the ban fair 🏷️ Make it prefix every message with an ALL-CAPS project tag (@EliLanger). Everything lives in one iMessage thread, and that is currently the only way to search it 🧨 The honest part: two of the nine payloads are the exact wording the person posted. I wrote the other seven from what they described, in the shape of the two that provably worked. And Reddit produced nothing usable in 8 runs, because everyone who can actually run these is posting on X

@mvanhorn

OK legit question for the AI-pilled, since there's no info on this anywhere. What are y'all mfs using for an agentic IDE, meaning, to multiplex 10-20 or more agents? Superlogical? Herdr? github/bb? Something else? I use Emacs, and I wouldn't wish it on you. But I want *something* good to recommend. What do people use?

@Steve_Yegge

You can now build on top of the same voice system that we shipped to 1B users in ChatGPT. So many fun applications of a full duplex system with solid toolcalling. Going back to text-only experiences after this feels harder than I had expected.

@thsottiaux

This is the AWS moment for agents. OpenAI just shipped the Agents API, and everything that made agents hard to build is now something you rent instead of build. Keeping one running for days, remembering what it's doing, using tools, recovering when a step fails. Now it's an API call. Before AWS, you had to buy and run your own servers, so only well funded teams could build real/scalable products. AWS made the hard part rentable, and all the value moved up to whoever had the best idea for what to build on top. Same thing is happening here. I'll be honest, my first reaction was that this is bad news for a lot of people I know. If your whole company is an agent platform, the thing you spent the last year building is now included for the price of tokens. But the more I sat with it, the more I think it's really good news if you're building for one specific industry. Basically, vertical software type stuff. If the hardest engineering just became a line item, then the only thing left that's actually hard is knowing the job. Like what counts as a done claim, what makes a filing get rejected, where the money leaks. So the wedge now is owning one painful workflow with your own tools, data, approvals, and a clear ROI. Freight exceptions, insurance reviews, security triage, revenue leakage, healthcare admin, compliance ops. I see a lot of doomers on X saying software is over (and sometimes I feel the same way), you'll just use Claude or ChatGPT for everything. BUT, if that were true, OpenAI wouldn't be shipping infrastructure for other people to build agents on. They're telling you exactly what they think: the general model is theirs, the 10,000+ specific jobs it needs to be pointed at are yours. I think software is just evolving. It's becoming an agent internet, and every layer of it, the tools, the workflows, the boring jobs, gets rebuilt for a user that doesn't have eyes or hands. That's a lot of companies waiting to be built.

@gregisenberg

This is essentially my belief too And I'm confused why so many people don't think this yet The AI chat apps will slowly eat up most services and provide them to users directly, many times without even an app or interface, just do whatever the user wants Dario Anthropic said it himself "in the end there will be just Anthropic and world governments" or similar, as they (and the other AI labs) will replace all work and all services The question is the timeline

@levelsio

I can finally talk about this! I'm using Projects since I joined. I believe I immediately onboarded after a few days because it works very well with my planning workflow (blog post coming). It just clicks. I have multiple projects, each coordinator managing tens of agents. Coordinators can talk to the agents, can spin up local, remote and cloud agents. They are very powerful. I'll go more into how I use Projects and how I plan my work in detail soon.

@fatih

i gave astra a robot, a paint brush, and a camera then asked it to paint the golden gate bridge in real life! it figured out how to control the robot, and progressively got better throughout its attempts. the timelapse is sick

@cdngdev

We (@mercury) are pushing the envelope on agentic banking. Already have agentic cards, MCP and Command (our AI agent). What other features would people like to see us build?

@immad

0.9.0 is here, and it brings the most wanted herdr feature: all your machines running herdr, in a single client 🎉 control your agents and projects across local and remote machines without jumping between terminal tabs.

@herdrdev

Who's doing the first agentic bank? I want to give my machine an agent account, an allowance, and permission to just take care of stuff.

@dhh

Found a GitHub repo that gives your AI agent 50 marketing specialists for free. It's called marketingskills, built by Corey Haines, and it sits at 46,800 stars with 7,300 forks. The idea is simple. Skills are markdown files. Each one teaches an AI agent how to do one marketing job, with the frameworks and checklists a good marketer carries in their head. There are 50 of them, covering copywriting, CRO, cold email, pricing, SEO audits, A/B testing, churn prevention, ad creative, launch planning, referral programs, and the list keeps going. They're also wired together. One skill called product-marketing holds the context about your product, your audience, and your positioning. Every other skill reads that file first before doing anything. So the copywriting skill and the pricing skill work from the same understanding of what you sell. A few of them caught my eye. marketing-council spins up a simulated board of advisors so you get several expert takes on one question instead of a single answer. marketing-loops sets up recurring workflows an agent runs on a schedule without you re-prompting it. marketing-ideas is a bank of 139 ideas for SaaS products you can pull from when you're stuck. Installing is one command. It works with Claude Code, Codex, Cursor, Windsurf, and anything else that follows the Agent Skills spec. You type "help me optimize this landing page for conversions" and the right skill kicks in on its own. Is a folder of markdown files worth more than a $5,000 a month marketing hire?

@alex_verem

Wrote a short blog post about how I manage and work with my Cloud Agents! It's more about a method, and there are hundreds of them, but it's working well for me. Still writing it but subscribe if you're interested in.

@fatih

This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.

@OpenAI

New plugin alert: watch all of your agents work inside of a pixel art office!

@get_bb_app

Introducing WebMCP + agent-browser The web is becoming agent-native 𝚊𝚐𝚎𝚗𝚝-𝚋𝚛𝚘𝚠𝚜𝚎𝚛 𝚠𝚎𝚋𝚖𝚌𝚙 <𝚕𝚒𝚜𝚝|𝚒𝚗𝚟𝚘𝚔𝚎> → Discover & call tools → For missing tools, falls back to browser automation

@ctatedev

Really nice walk-through of Omarchy by Microsoft's Dan Wahlin. Super cool to see him use Copilot for all his agentic alterations! Omarchy supports every major harness right out of the box. (Now can we talk bringing Office to Omarchy, @satyanadella 😄?)

@dhh

Calling it now, @Tailscale will be one of the most important parts of the agentic tech stack. Once a non-tech workflow is embedded into existing applications, it's a wrap.

@waynesutton

Driving agents from Basecamp turned out to be a night-and-day improvement for me. It brought a much-welcomed sense of calm when moving multiple things forward at once. We’re actively working on this problem, and first-class support is coming soon. But since many people have asked for it, here is the experimental connector we have been using internally.

@jorgemanru

On a mission to make agents less verbose

@karrisaarinen

so true, tons of innovation in building agentic workflows etc with so much willingness to pay for simple and effective APIs for services in the cloud that are still stuck behind SaaS UIs and business models (HT @zachmccullough )

@scottbelsky

AI Engineering Skills Map: Software engineering fundamentals

@AndrewYNg

(1/6) i'm the pm on Wave at @Amplitude, our agent for self-improving products. for the past few months we've had it running on our own product. it finds problems, ships fixes, and measures whether they worked. here are some highlights:

@Jacob__Newman

This is the type of in depth sauce most people charge $997 for. You can hand this article to your AI agent and have it build the entire funnel in about 10 minutes. You’re welcome.

@coreyganim

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