Reading up on automation

In case it's not clear: I will spend the next several months making as many parts of the Apple app ecosystem work well with agents and frontier AI. There's momentum at @macstoriesnet and I can't be stopped. 💪

@viticci

We just killed Exa, Tavily, SerpAPI, and Brave. Your agent can now search & fetch any webpage for 100% FREE. Them: $7 per 1,000 searches. Us: $0. No subscriptions, no quotas. Humans search Google for free. Agents shouldn't have to pay either. Made possible by @Tiny_Fish and @MonidHQ.

@shengkunye

After Reminders and Apple Notes, I'm building a CLI for Apple Music. It's already pretty great to discover new releases from artists in your library, fully manage the library, search Apple's catalog, and more. Any requests? 😅

@viticci

folks that orchestrate: what's your workflow? seen lots of folks say the "plan with fable, implement with XYZ". how? what's the UI/UX/flow/tooling for that?

@Shpigford

Claude now has its own built-in browser in Cowork. When your task involves a website, a browser opens in Cowork's side panel, and Claude navigates, fills forms, and finishes the job.

@claudeai

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

A few updates to scheduled tasks in ChatGPT Work on web and mobile: Plus and Pro users can now set tasks to respond when something changes in Slack, Gmail, and Github, rather than just run on a set schedule. We’re also rolling out scheduled tasks in ChatGPT to Free users, who can create up to three tasks. You can also now share your favorite tasks for others to customize and use.

@ChatGPT

HEY what!? HEY yes! The HEY CLI and TUI is out! Calling all terminal dwellers, automation aficionados, and agents. Get your CLI right here:

@jasonfried

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

incredible use of computer history “based on my computer history, what single-use software would make my life easier?” computer history turns your activity across apps and websites into memories and a timeline, so codex can spot repeated workflows and build the little tools that make them easier

@reach_vb

Here's how I'm running my $4M/year SaaS with a $260/month executive team of Grok Bots: Inbox Triage - is logged into my email, Facebook, X, LinkedIn. It ignores/closes all emails and DMs that don't need a reply from me. It opens an inbox item in Trello with a link to the email or DM if it needs a reply. Assistant - helps me plan my day and week schedule. Has access to my calendar. I chat back and forth to plan out fitting lunch, gym, meetings, handling my inbox, and "creative time" boxes into my day. COO - is logged into Intercom and Slack to give me a report on any customer requests or project deadlines slipping. Daily News - summary of news for each of my stock investments ($RIVN, $QXO, $FLUT, $CHTR, and $TINY.TO), the latest Reddit or social media thing going viral in my business niche which is Ubiquiti stuff. CMO - this one hasn't been useful tbh because I don't trust it to give it access to social media accounts, blog, or website and as a thought partner it's not very intelligent. It seems to me that Grok Bots are for actually doing things, Grok direct is still best for strategy and thinking through ideas. CISO - I put it in a group chat with all the other bots and they were given instructions on what not to do by the CISO bot for security purposes. CFO - I give it access to QuickBooks, ProfitWell, and our internal reporting dashboards then ask it questions and bounce ideas. They're all running around logged into my accounts via a web browser in the Grok Bot provided VM. Zero APIs or integration setups needed.

@rchase

Built a little agent automation where I paste a link to a cool website I want to save: → checks for duplicates in my notion db → extracts metadata (favicon, x handle, title) → ai classifies as personal site or company/product → pings a small endpoint to capture light and dark mode screenshots → adds the site + all details to my notion db → purges the cache on my /sites page → replies with a tweet draft (in case I want to share) It's probably slightly inefficient compared to making this fully deterministic, but I like having an agent take care of it because I can say things like: - oh, that site you captured has a weird loading state, recapture after waiting 3 seconds - review all sites I've saved in the notion db and see if we accidentally captured loading states/403 errors and re-process Yesterday I tried to save a link that 403d so I had my agent wire up a rotating residential proxy to get around it. Look ma no hands! →

@brian_lovin

macOS harness and chill https://github.com/browser-use/macos-harness

@gregpr07

OpenAI for anything you can do in your browser:

@gdb

just paid $12,000 to outbid others with Outrank now let's see if I just lost my money 👀

@tibo_maker

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

things i use codex browser/chrome/computer for - closing the books our accounting software - clearing my linkedin queue - managing gmail / clearing inbox - setting up stripe radar rules - iterating on images in midjourney - browser based QA on every PR - build inspo library from other websites - completing security questionaires - signing up for procurement systems - research + outreach for vendors who only have crummy online forms - configuring saas when API is not available - registering for conferences - cancelling subscriptions - using iphone mirroring to use mobile apps from my desktop (look ma, no hands!) what else should I be doing?

@clairevo

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

Your software factory should be a monorepo. All your company context (design, marketing, sales, engineering, support…) in one place for agents to build upon

@rauchg

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

For fifty years, you operated the computer. Tonight, we trade places. A small box plugs in and does the work on your screen — any app, even 20-year-old software, no API. Anything irreversible waits for a key under my finger. No software can fake your control. This is Violoop.

@Jaylen_Vio

Something I routinely am in awe about is the compute amplification every commit has today vs. 20 years ago, at least personally. Back then, my personal computer was only non-idle when I was working locally. I ran tests locally. When I pushed, there was no CI. The tests themselves were minimal maturity (simple unit tests, some e2e). Today when I push, CI exists. It fans out to 200+ jobs across macOS, Linux, and Windows that take ~20 minutes to complete in totality. A successful CI triggers ~8 beefy machines for tip releases. Tip releases trigger Apple notarization machines. Simultaneously, I have dedicated machines running 24/7 doing fuzz testing at basically 100% CPU constantly. Locally, my computer is using CPU much more of the day due to background agents. My average CPU utilization on my M4 Max overnight the last 7 days was over 20%. "Low" but before my average would've been 0% (deep sleep)! Plus, those agents are commanding a ton of GPU utilization elsewhere. I'm not making any judgement here of whether this is good or bad, because I think there are both good elements and bad elements. Simply that its quite astonishing how much compute my daily work amplifies in 2026 vs. 2006.

@mitchellh

is it time to switch off github actions? what are the best alternatives?

@thdxr

9 things that took my Claude Code from okay to unreal: 1. Workspace: a repo that explains itself 2. Memory: the files that tell it how you work 3. Brief: plan mode before it touches anything 4. Ticket: one clear task with a finish line 5. Eyes: it opens the app and clicks through like a customer 6. Review: it checks its own work against your standards 7. Schedule: routines that run while you sleep 8. Permissions: what it can do freely vs what stays with you 9. Skills: reusable actions, plus connectors and hooks Note: thanks to @AnthropicAI for sponsoring today's ep. I go through all 9 with the exact prompts/best practices and a 7 day plan to set it up in the full episode. Once these are in place, Claude Code just hits different Watch

@gregisenberg

Codex Remote is a glimpse of the future:

@athyuttamre

What is an obvious thing that we should do with Codex, API or our models that we should just do but haven't yet? What is 100% within reach, but we just seem to be missing?

@thsottiaux

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

Wow making YouTube videos fully agentic is such a sick experience now. - Davinci Resolve + Fusion - Remotion - Blender - Seedance 2.5 - Elevenlabs Man you can make some cool videos! I'm about to launch a few new faceless channels with cool startup/technology documentaries. Being a solo founder in 2026 is the best.

@SimonHoiberg

I've been keeping a daily journal for the past ~10 years. Last year I moved everything into Notion. This year I've been steadily adding enrichment automations to fill in a daily recap with meetings from that day, people I met with, highlights from work, and things I read (syncing data from all my main apps). Everything connects nicely with other stuff in my Notion workspace, too. For example, if the automation sees I met with someone new that day, it adds them to my People database + kicks off an enrichment process to pull an avatar, website, x/linkedin/github profiles, etc. — like a little self-populating contacts list. Together, this adds a lot of texture to every journal entry + adds cues for me to journal about by hand. Anyways: connected tools + automations + a great writing surface are pretty great, highly recommend.

@brian_lovin

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

A weird experiment I've been trying the last few weeks is having Claude take over day-to-day maintenance of our apps. Seeing early signs of life that this might be possible. The setup is straightforward: we have a Slack channel called proj-claude-maintains-apps. In it, Claude Tag runs a bunch of daily routines across iOS, Android, Desktop, web, CLI, and Agent SDK: - Crash fuzzer: open the app in a simulator and tap around to find ways to crash it, then root cause and fix the crashes - Dup unifier: scans the codebase for similar-yet-slightly-divergent abstractions, and puts up PRs to unify them - Dead-code remover: removes statically unreachable code, and adds logging to suspected dead code to check if it's really dead and if so, remove it the next day - Abstraction police: fixes leaky abstractions - a bunch more.. Results have been surprisingly positive. Over the last few weeks, these routines have opened 388 PRs across our repos, 180 of which we merged after Claude Code Review + human review. We're now thinking about how to streamline this to make merging these kinds of mechanical changes easier. Claude generally gets these PRs right on the first shot, and if it doesn't, we ask Claude to tune its routines so it's better the next day. Sometimes it takes a few days of tuning. To try a similar workflow, ask Claude Code or Tag, or create some routines directly at

@bcherny

AI-driven SEO. From onboarding to growth tasks in 30 minutes. No agency. No consultant. Just AI. $9/mo → http://cogny.com

@CognyAI

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

we moved a lot of our data pipeline to cloudflare and i made a quick video showing it off yes this video is NOT ABOUT AI incredible

@thdxr

Bannerbear is now fully MCP friendly and can connect to your AI clients with OAuth 🐻 46 tools and counting!

@yongfook

Your Claude in Chrome sessions now carry over to desktop, web, and mobile. Conversations are saved, and your skills and connectors work in the browser. Available on Max and Team today, rolling out to Pro in the coming weeks.

@claudeai

first small step along the way to making Atuin sync SO MUCH faster

@ellie_huxtable

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

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

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

BREAKING: Today we've ended unemployment. I just watched Claude pay me $1,548.33 to wait for its replies. This is so absurd.

@chddaniel

I’ve been using it for ~2 hours and I’m absolutely blown away at how I could automate a bunch of my workflows. Cursor team built a way for “normies” to automate stuff. Feels like an OpenClaw 2.0 moment. (Zero affiliation, I upgraded to Ultra to use it and absolutely worth it.)

@GergelyOrosz

I love open source. I was mid Zoom customer pitch when my agent took over my entire Mac to run UI tests on a Mac app I'm building. Told it: never again. Find an open source project or build something. It found a 3-day-old zero-star repo by @clairernovotny. I recognized her from her contributions to @slashlast30days. I became star #1. It clones a Tart VM, runs the suite headless, drops the xcresult, deletes the VM. Desktop free. Mac not hijacked since. I've been using it every day. Now 13 stars. Please go star it:

@mvanhorn

I got early access to Grok Bot and I'm hooked. I haven't been this excited about a new AI product in a while. It's like OpenClaw, but super easy, reliable, and less scary to use. I think this will be a huge new product line for Cursor/Grok/SpaceX. I've already found so many ways to use it that have meaningfully made my life better: 1. Matchmaking people looking for jobs with companies who are hiring (see below) 2. Auto-replying to support emails (saves me hours!) 3. Scanning my credit card statements and finding recurring subscriptions to cancel 4. Sending me (really good!) briefs for upcoming podcast guests See below for my actual set of agents that I've been using and chat with daily. Great work on this team Grok Bot. (I'm not an investor in this, nor do I have any ties to this product/company. I'm just a fan!)

@lennysan

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

Stagehand v4 has one mission: Destroy Playwright. Stagehand now runs INSIDE the browser, enabling the same speed as a local browser but at massive scale. If your agent uses the Playwright MCP, you'll get a 2x perf boost just by switching. http://stagehand.dev

@pk_iv

It's funny... When I'm sitting in the Swiss trains, I often notice people working on their laptops. Opening Outlook. Copying things to an Excel sheet. Adding a few things to Word doc. Maybe, mayyybe, they'll open ChatGPT. Yeah, that's really how they work... 95% of people are still *hopelessly* behind on AI. And boring as it sounds - this is probably still one of the best ways to "make money" with AI right now. Here's what I'd do 👇

@SimonHoiberg

Huuuge update to Bannerbear this week. biggest in the last 3 years! 50+ native plugins, MCP, all new API, video tools, so much more. Most productive I've felt for a long time.

@yongfook

i have a side project i'll eventually write about but one of the many things it does is make youtube videos, podcasts, and articles more digestible. i use it every day. summarizes, lets me chat with them, search transcripts, runs embeddings & clusters to find them easily later. far too many interesting vids/podcasts show up on my timeline than i have time to properly watch/listen to

@Stammy

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