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Did you know Cursor can watch output from terminals and take action? It's very extensible. I used it to make a /loop skill, which wakes the agent up on a schedule. Try "/loop until this PR merges" or "/loop 1h check #infra-logs for anything critical". Should I do /goal next?

Jediah Katz

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30,434 次观看 • 2 个月前 •via X (Twitter)

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HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7 A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself. That's the bigger idea. A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal. Build. Verify. Repeat. Stop when the condition is met. Here's what it looks like in practice: 1/SEO loop You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero. 2/Ads loop You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black. 3/Eval loop Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%. 4/LLM visibility loop People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not? The whole thing hinges on one thing: a metric that comes back black and white. Where do I rank? Did it hit profitability? Did the evals pass? Give an agent that scoreboard and it runs for months. Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one. You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down. Full episode on The Startup Ideas Podcast (SIP) 🧃 watch

HOW TO USE AI LOOPS TO RUN YOUR BUSINESS 24/7 A lot has been written about loop engineering for building products. Almost nothing about using loops to run the business itself. That's the bigger idea. A loop is when you give an agent a goal, a way to check its own work, and permission to keep trying until it hits that goal. Build. Verify. Repeat. Stop when the condition is met. Here's what it looks like in practice: 1/SEO loop You're position 30 for a term you want. The loop runs once a month, makes changes, checks where you rank, and keeps pushing until you're on page one. This is running in production right now on Inbox Zero. 2/Ads loop You're spending $100 a day and losing money. The loop tests creative, checks profitability, kills what fails, and keeps going until the account is in the black. 3/Eval loop Your AI feature is only 88% accurate. The loop keeps adjusting the prompt and swapping the model until it passes 90%. 4/LLM visibility loop People search in ChatGPT now, not just Google. Same loop, new scoreboard. Are we the answer or not? The whole thing hinges on one thing: a metric that comes back black and white. Where do I rank? Did it hit profitability? Did the evals pass? Give an agent that scoreboard and it runs for months. Loops used to run for 30 minutes. These run for a year. Take a step, sleep, wake up next month, take another one. You're basically hiring an agency that never sleeps, gets paid in tokens instead of invoices, and undoes its own mistakes when the number goes down. Full episode on The Startup Ideas Podcast (SIP) 🧃 watch

GREG ISENBERG

82,960 次观看 • 1 个月前

Anthropic just dropped 1-hour workshop on loop engineering: 1 spec → the loop → 200 features from 0% to 100%: • 10% → 5:31 - Building memory for agentic loops • 30% → 8:22 - Four files for each Loop: features.json, standards.md, progress.md, • 55% → 11:02 - The Loop: check environment → run tests → pick feature → build → test → commit • 80% → 13:06 - one feature per loop. try everything at once and context dies mid-build • 100% → 33:03 - MVP in 1 hour, every next loop under 30 minutes most people build an agent that finishes a task -Anthropic ships agentic loops that can run for days without you. watch it today - then read the full loop engineering playbook below ↓

Anthropic just dropped 1-hour workshop on loop engineering: 1 spec → the loop → 200 features from 0% to 100%: • 10% → 5:31 - Building memory for agentic loops • 30% → 8:22 - Four files for each Loop: features.json, standards.md, progress.md, • 55% → 11:02 - The Loop: check environment → run tests → pick feature → build → test → commit • 80% → 13:06 - one feature per loop. try everything at once and context dies mid-build • 100% → 33:03 - MVP in 1 hour, every next loop under 30 minutes most people build an agent that finishes a task -Anthropic ships agentic loops that can run for days without you. watch it today - then read the full loop engineering playbook below ↓

Codez

18,398 次观看 • 24 天前

ANTHROPIC LEAD ENGINEER MAKING $2.3M/YEAR JUST LEAKED A 12-PAGE DOCUMENT - AND GOT FIRED 15 MINUTES AFTER PUBLISHING most developers build loops - but almost every loop breaks in one of five ways, and each failure has a symptom visible from the outside without reading a single line of code > Blind loop - the agent waits for a human to hand it work every morning - automating execution but not discovery > Tangled loop - parallel agents share one directory and overwrite each other parallelism that destroys instead of multiplies > Nodding loop - the agent grades its own work and approves it every time a loop that has never said no to itself is broken > Amnesiac loop - results live only in the context window every morning the system wakes up with no memory of yesterday > Manual loop - no trigger a human presses the button to start it that is not a loop that is a script waiting for a person a real loop finds its own work - remembers what it did has something that can say no never lets two agents touch the same file and fires itself on a timer remove any one of the five - and the loop either breaks or never starts 12 pages that changed how I build agentic systems today

ANTHROPIC LEAD ENGINEER MAKING $2.3M/YEAR JUST LEAKED A 12-PAGE DOCUMENT - AND GOT FIRED 15 MINUTES AFTER PUBLISHING most developers build loops - but almost every loop breaks in one of five ways, and each failure has a symptom visible from the outside without reading a single line of code > Blind loop - the agent waits for a human to hand it work every morning - automating execution but not discovery > Tangled loop - parallel agents share one directory and overwrite each other parallelism that destroys instead of multiplies > Nodding loop - the agent grades its own work and approves it every time a loop that has never said no to itself is broken > Amnesiac loop - results live only in the context window every morning the system wakes up with no memory of yesterday > Manual loop - no trigger a human presses the button to start it that is not a loop that is a script waiting for a person a real loop finds its own work - remembers what it did has something that can say no never lets two agents touch the same file and fires itself on a timer remove any one of the five - and the loop either breaks or never starts 12 pages that changed how I build agentic systems today

Sprytix

153,690 次观看 • 1 个月前

This is insane! I just used the new Claude Code Playground plugin to level up my Nano Banana Image generator skill. My skill has a self-improving loop, but with the playground skill, I can also pass precise annotations to nano banana as it improves the images. It's so good!

This is insane! I just used the new Claude Code Playground plugin to level up my Nano Banana Image generator skill. My skill has a self-improving loop, but with the playground skill, I can also pass precise annotations to nano banana as it improves the images. It's so good!

elvis

286,863 次观看 • 7 个月前

Codex survives compaction quite well. Which means for massive refactors or "pass test suite" kind of situations looping can work. I tried it for the MiniJinja port over night and it works. Basically /loop tells pi a) continue until "condition" and b) tweak compaction while loop is active.

Codex survives compaction quite well. Which means for massive refactors or "pass test suite" kind of situations looping can work. I tried it for the MiniJinja port over night and it works. Basically /loop tells pi a) continue until "condition" and b) tweak compaction while loop is active.

Armin Ronacher ⇌

17,362 次观看 • 7 个月前

This is not Ai. This is from years ago in Ireland. I saved it on my phone and whenever I feel down and the World is getting to me I watch this on a loop for a mind reset. Works every time. I love the fact there are people out there doing this kind of thing to give others joy. JOY! That is the word. We need more JOY. JOY up your day and watch this on a loop or download it to your phone and do what I do for that JOY refix. Or share this with your friends and give them some JOY. x #joy #bigbird #sesamestreet #love

This is not Ai. This is from years ago in Ireland. I saved it on my phone and whenever I feel down and the World is getting to me I watch this on a loop for a mind reset. Works every time. I love the fact there are people out there doing this kind of thing to give others joy. JOY! That is the word. We need more JOY. JOY up your day and watch this on a loop or download it to your phone and do what I do for that JOY refix. Or share this with your friends and give them some JOY. x #joy #bigbird #sesamestreet #love

Hifi Sean

64,837 次观看 • 4 个月前

Boris Cherny, the engineer who built Claude Code: "I don't talk to an agent anymore. I talk to a loop" a prompt is one instruction you babysit. a loop is a goal the AI works toward on its own: > it plans > does the work > checks itself > fixes what's weak > and repeats until it's done you step out, the work keeps going that's the shift the best engineers quietly moved to. most people hear a line like that and have no idea what it means in practice this breaks it down without the hype: what a loop actually is, when it's worth building, when it's a money trap, and how to run one yourself today watch his clip, then read the article below

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Dep

20,917 次观看 • 2 个月前

Every skill file I write ends with a self-improvement loop. It sits at the bottom of the skill.md and runs before the skill finishes: - Did any step fail or need a workaround? - Did I correct or reject anything meaningful? - Did you discover something a future run might need? Most runs it comes back with one or two suggested edits. I say not needed, or I say run it, and it rewrites its own file. It never edits without asking first, so every change still goes through you. Put the loop at the bottom of the skills you already have and let them self-improve while you use them.

Every skill file I write ends with a self-improvement loop. It sits at the bottom of the skill.md and runs before the skill finishes: - Did any step fail or need a workaround? - Did I correct or reject anything meaningful? - Did you discover something a future run might need? Most runs it comes back with one or two suggested edits. I say not needed, or I say run it, and it rewrites its own file. It never edits without asking first, so every change still goes through you. Put the loop at the bottom of the skills you already have and let them self-improve while you use them.

The Startup Ideas Podcast (SIP) 🧃

11,799 次观看 • 7 天前

You can now delegate tasks to Cursor directly from Notion. It's built on the Cursor SDK, so every cloud agent runs on the same models, harness, and runtime that power Cursor. @Cursor on any spec or assign it a task to open a PR your whole team can review.

You can now delegate tasks to Cursor directly from Notion. It's built on the Cursor SDK, so every cloud agent runs on the same models, harness, and runtime that power Cursor. @Cursor on any spec or assign it a task to open a PR your whole team can review.

Cursor

320,982 次观看 • 2 个月前

Just got a preview of MagicPath's new Figma integration… 2026 is about to close the entire loop on design and code. From the code quality to the pixel placement - this is the snappiest loop I’ve ever used. Not exaggerating. I think Pietro Schirano just figured it out.

Just got a preview of MagicPath's new Figma integration… 2026 is about to close the entire loop on design and code. From the code quality to the pixel placement - this is the snappiest loop I’ve ever used. Not exaggerating. I think Pietro Schirano just figured it out.

Tommy Geoco 🇺🇸

25,030 次观看 • 7 个月前

Karpathy compressed the agent problem into 1 sentence: "If you can't evaluate then you can't auto research it, right?" That's the rule I keep coming back to with long-running coding agents Before you launch /goal or /loop, write the verifier: - what counts as done - what evidence proves it - which checks run every pass - which artifact gets saved - which failure sends it back into the loop Then let the agent run The loop can keep going because proof sits outside the agent's own explanation Tests, screenshots, benchmark curves, browser runs, changed files That's how you get autonomy without babysitting a transcript for 6 hours Read the full breakdown on goals, verifiers, loops, artifacts, and session memory in the article below

Karpathy compressed the agent problem into 1 sentence: "If you can't evaluate then you can't auto research it, right?" That's the rule I keep coming back to with long-running coding agents Before you launch /goal or /loop, write the verifier: - what counts as done - what evidence proves it - which checks run every pass - which artifact gets saved - which failure sends it back into the loop Then let the agent run The loop can keep going because proof sits outside the agent's own explanation Tests, screenshots, benchmark curves, browser runs, changed files That's how you get autonomy without babysitting a transcript for 6 hours Read the full breakdown on goals, verifiers, loops, artifacts, and session memory in the article below

Alpha Batcher

43,806 次观看 • 2 个月前

The part people sleep on: ask your agent to help manage the portfolio after it's built. Set conditions, run it on a schedule, have it flag anything worth your attention. You get a push notification every time it trades and real-time P&L in the app, so you're never out of the loop.

The part people sleep on: ask your agent to help manage the portfolio after it's built. Set conditions, run it on a schedule, have it flag anything worth your attention. You get a push notification every time it trades and real-time P&L in the app, so you're never out of the loop.

Robinhood

83,270 次观看 • 1 个月前

I wish someone explained this "loop over item" node to me when I started learning AI Automation with n8n. it was really confusing.. in this video you'll learn the importance of loop over item node and how to use it.. I explained it with a real workflow so you can understand better.. if you gained value from this video, then you'll love my future content.. so hit the follow button and turn on notifications so you don't miss my next vidoes.. let me know if this was helpful and don't forget to like and repost.. stay jiggy.. or NOT 🍷

I wish someone explained this "loop over item" node to me when I started learning AI Automation with n8n. it was really confusing.. in this video you'll learn the importance of loop over item node and how to use it.. I explained it with a real workflow so you can understand better.. if you gained value from this video, then you'll love my future content.. so hit the follow button and turn on notifications so you don't miss my next vidoes.. let me know if this was helpful and don't forget to like and repost.. stay jiggy.. or NOT 🍷

Elewachi | AI Automation Engineer ⭐

14,659 次观看 • 7 个月前

holy shit this is a f**king gold mine I replaced opus 5 with deepseek v4-flash, it's basically free and someone figured out a way to run it's subagents as a self-improving loop inside codex [the setup takes 2 mins here is how] 1. clone the repo 'codex-self-imrpoving-loop' 2.give the '3 loop workflow' image to your agent 3. voila you are done save this no matter what. it'll be the most productive thing you do this week

holy shit this is a f**king gold mine I replaced opus 5 with deepseek v4-flash, it's basically free and someone figured out a way to run it's subagents as a self-improving loop inside codex [the setup takes 2 mins here is how] 1. clone the repo 'codex-self-imrpoving-loop' 2.give the '3 loop workflow' image to your agent 3. voila you are done save this no matter what. it'll be the most productive thing you do this week

Avid

129,556 次观看 • 19 天前

So I created a simple Expo app for remotely connecting to an OpenCode server (running on my mac) so I can remotely control & prompt from my iPad or phone. Not very polished but it works pretty well and its kinda interesting that you can see the feedback loop live.

So I created a simple Expo app for remotely connecting to an OpenCode server (running on my mac) so I can remotely control & prompt from my iPad or phone. Not very polished but it works pretty well and its kinda interesting that you can see the feedback loop live.

ryan vogel

50,706 次观看 • 8 个月前

this is f**king gold someone just open-sourced a GitHub repo with 2,700+ stars which gave out the entire "loop-engineering" framework for ai agents it lets you: →allows you to manage an entire team of 1000 agents →run auto-research by Andrej Karpathy →Agent-to-agent PR comment loop just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.

this is f**king gold someone just open-sourced a GitHub repo with 2,700+ stars which gave out the entire "loop-engineering" framework for ai agents it lets you: →allows you to manage an entire team of 1000 agents →run auto-research by Andrej Karpathy →Agent-to-agent PR comment loop just you, your AI agents, and full control. this is where one-person businesses are headed. save this for later.

Avid

46,150 次观看 • 22 天前

FOUR TYPES OF AGENT LOOPS. LOOP ENGINEERING IS PICKING THE RIGHT ONE, NOT THE FANCIEST ONE every loop answers two questions: what starts a run, what ends it hand-run, you answer both yourself, every time 1) turn-based > you prompt, it acts, you review, you prompt again > use while requirements are still forming 2) goal-based > /goal hit Lighthouse 90, stop after 5 tries > an evaluator checks. a no sends it back to work > use when the outcome is measurable but the path isn't 3) time-based > a clock fires, it checks the PR, fixes CI, waits again > /loop runs locally, /schedule survives a closed laptop > use for anything recurring 4) proactive > no human present. it watches a channel, triages, fixes, reviews, closes the task itself > use for standing duties you can't predict in advance the real question isn't which loop is most advanced it's whether your task is exploratory, measurable, recurring, or standing the more you hand off, the less you babysit full breakdown in the article below

FOUR TYPES OF AGENT LOOPS. LOOP ENGINEERING IS PICKING THE RIGHT ONE, NOT THE FANCIEST ONE every loop answers two questions: what starts a run, what ends it hand-run, you answer both yourself, every time 1) turn-based > you prompt, it acts, you review, you prompt again > use while requirements are still forming 2) goal-based > /goal hit Lighthouse 90, stop after 5 tries > an evaluator checks. a no sends it back to work > use when the outcome is measurable but the path isn't 3) time-based > a clock fires, it checks the PR, fixes CI, waits again > /loop runs locally, /schedule survives a closed laptop > use for anything recurring 4) proactive > no human present. it watches a channel, triages, fixes, reviews, closes the task itself > use for standing duties you can't predict in advance the real question isn't which loop is most advanced it's whether your task is exploratory, measurable, recurring, or standing the more you hand off, the less you babysit full breakdown in the article below

Fokki

10,312 次观看 • 27 天前

Elon Musk: CEOs should be ready to take on any task, no matter how humble. “Whether you're a CEO or any role in a startup, you do whatever it takes to succeed and just always be smashing your ego. Internalize responsibility. A major failure mode is when ego to ability ratio is >> 1. If your ego to ability ratio gets too high, you're going to basically break the feedback loop to reality. In AI terms you'll break your RL loop. You want to have a strong RL loop, which means internalizing responsibility and minimizing ego. And you do whatever the task is, no matter whether it's grand or humble.” Interview at Y Combinator, June 16, 2025

Elon Musk: CEOs should be ready to take on any task, no matter how humble. “Whether you're a CEO or any role in a startup, you do whatever it takes to succeed and just always be smashing your ego. Internalize responsibility. A major failure mode is when ego to ability ratio is >> 1. If your ego to ability ratio gets too high, you're going to basically break the feedback loop to reality. In AI terms you'll break your RL loop. You want to have a strong RL loop, which means internalizing responsibility and minimizing ego. And you do whatever the task is, no matter whether it's grand or humble.” Interview at Y Combinator, June 16, 2025

ELON CLIPS

99,860 次观看 • 1 年前