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We built an AI employee that watches every session and reads every log, commit, and Slack message in my company. It: - Fixes bugs as they happen - Emails users when things break - Writes, tests, and ships code I'm extremely excited and also pretty sure I'm building my... show more

Pablo Hansen

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47,639 views • 6 months ago •via X (Twitter)

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Engineers from Google, MIT, Amazon, and Carnegie Mellon just built what every enterprise has been waiting for. An AI agent platform that gives every employee their own assistant in Slack, with sandboxed execution, credential isolation, and a Governor AI that blocks attacks before they reach inference. It's called Diana and it changes how companies run: ↓

Engineers from Google, MIT, Amazon, and Carnegie Mellon just built what every enterprise has been waiting for. An AI agent platform that gives every employee their own assistant in Slack, with sandboxed execution, credential isolation, and a Governor AI that blocks attacks before they reach inference. It's called Diana and it changes how companies run: ↓

Hasan Toor

31,586 views • 4 months ago

we built an AI product analyst that watches every session replay and delivers a weekly report on: - what’s broken - what’s frustrating users - what’s working well let me know if you'd like to try it :) Lucent

we built an AI product analyst that watches every session replay and delivers a weekly report on: - what’s broken - what’s frustrating users - what’s working well let me know if you'd like to try it :) Lucent

alisa rae .☘︎ ݁˖

39,764 views • 4 months ago

Built my first AI cold email system today. - Pulls leads from Google Sheets - Reads company websites - Understands the business - Writes personalized emails - Sends automatically And yeah… I finally understood loops in n8n 😭 Still Learning. Still Building🚀❤️

Built my first AI cold email system today. - Pulls leads from Google Sheets - Reads company websites - Understands the business - Writes personalized emails - Sends automatically And yeah… I finally understood loops in n8n 😭 Still Learning. Still Building🚀❤️

IsraelTech

13,271 views • 4 months ago

Welcome to Blue Collar Builders! Cory LaChance inspired me to start a series spotlighting folks in the trade who are building software using AI. Cory normally works with chemical plants and refineries, but now he's building AI software for his company.... with no pervious experience writing code. He built a full agentic application that industrial contractors are using every day. It reads isometric drawings and automatically extracts every weld count, every material spec, every commodity code. My favorite thing he said was, "I did this with zero outside help other than the AI. My favorite tools are screenshots, step by step instructions, and asking Claude to explain things like I'm five." I hope you enjoy this episode as much as I did. And I can't wait to meet more Blue Collar Builders.

Welcome to Blue Collar Builders! Cory LaChance inspired me to start a series spotlighting folks in the trade who are building software using AI. Cory normally works with chemical plants and refineries, but now he's building AI software for his company.... with no pervious experience writing code. He built a full agentic application that industrial contractors are using every day. It reads isometric drawings and automatically extracts every weld count, every material spec, every commodity code. My favorite thing he said was, "I did this with zero outside help other than the AI. My favorite tools are screenshots, step by step instructions, and asking Claude to explain things like I'm five." I hope you enjoy this episode as much as I did. And I can't wait to meet more Blue Collar Builders.

Todd Saunders

65,157 views • 2 months ago

open Claude Code type a prompt. one model does everything. congrats, you just used 20% of it meanwhile I built 30 sub-agents one reviews my code before commit one finds bugs and writes the patch one drafts cold emails from one line one triages my inbox before I wake up one logs every decision so future me knows why each agent = one markdown file in .claude/agents/ most Claude Code users don't even know this exists. all 30 files in the article. ready to copy. the article has every file. every prompt. just copy and run.

open Claude Code type a prompt. one model does everything. congrats, you just used 20% of it meanwhile I built 30 sub-agents one reviews my code before commit one finds bugs and writes the patch one drafts cold emails from one line one triages my inbox before I wake up one logs every decision so future me knows why each agent = one markdown file in .claude/agents/ most Claude Code users don't even know this exists. all 30 files in the article. ready to copy. the article has every file. every prompt. just copy and run.

Nav Toor

71,467 views • 3 months ago

audit and fix your entire developer docs site in under a minute We built an AI agent with Browserbase and Cerebras that audits your entire docs site > point it at any documentation site > agent goes down the link tree > agent crawls and verifies every page, checks every link, reads every code snippet > agent also compares content to your GitHub repo > returns a full report with suggested fixes and source references The full code and tutorial for how to build this yourself is live now.

audit and fix your entire developer docs site in under a minute We built an AI agent with Browserbase and Cerebras that audits your entire docs site > point it at any documentation site > agent goes down the link tree > agent crawls and verifies every page, checks every link, reads every code snippet > agent also compares content to your GitHub repo > returns a full report with suggested fixes and source references The full code and tutorial for how to build this yourself is live now.

Sarah Chieng

26,679 views • 4 months ago

Every day I'm convinced more and more that it shouldn't be "my body, my choice" when they do stuff like this.

Every day I'm convinced more and more that it shouldn't be "my body, my choice" when they do stuff like this.

Women Being Awful

19,387 views • 6 months ago

Company Brain Tom Blomfield Every company has critical know-how scattered across people's heads, old Slack threads, support tickets, and databases, and AI agents can't operate like that. We think every company in the world is going to need a new primitive: a living map of how the company works that turns its own artifacts into an executable skills file for AI.

Company Brain Tom Blomfield Every company has critical know-how scattered across people's heads, old Slack threads, support tickets, and databases, and AI agents can't operate like that. We think every company in the world is going to need a new primitive: a living map of how the company works that turns its own artifacts into an executable skills file for AI.

Y Combinator

1,193,456 views • 3 months ago

My Hermes agent builds AI employees for me. Just closed another $5K‑a‑month customer today for an AI employee for a design agency. I'm not even building any of it. I have Dewey, my Hermes agent, building out the entire Hermes agent for this design agency and onboarding the agent into Slack for me. All I do is ask the questions, make sure it gets recorded in Granola (my ai notetaker), and then Dewey takes it over from there. Crazy world we live in.

My Hermes agent builds AI employees for me. Just closed another $5K‑a‑month customer today for an AI employee for a design agency. I'm not even building any of it. I have Dewey, my Hermes agent, building out the entire Hermes agent for this design agency and onboarding the agent into Slack for me. All I do is ask the questions, make sure it gets recorded in Granola (my ai notetaker), and then Dewey takes it over from there. Crazy world we live in.

Nick Vasilescu

147,339 views • 25 days ago

Don't waste your time building an Agentic Browser We built an chrome extension that does everything gpt atlas does and more - Can take actions and do things for you right in your own browser - Use 500+ tools like Gmail, Slack, Notion and more - Can be easily accessed in your sidebar Built with Composio Tool Router, Google AI Developers Gemini 2.5 Computer Use and AI SDK Completely free and open source link to the code:

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Karan Vaidya

73,051 views • 9 months ago

and when we talk abt jisoo's highnotes, we really can't miss this one.. my girl dropped an ep right after getting out of that company and made sure to showcase her vocals in every single track

and when we talk abt jisoo's highnotes, we really can't miss this one.. my girl dropped an ep right after getting out of that company and made sure to showcase her vocals in every single track

℘:vanished

22,962 views • 7 months ago

In as much as we give it our all , sometimes things are beyond us and there's little we can do. For that i sincerely apologise and I'm working hard to making sure such let downs never happen again in future.

In as much as we give it our all , sometimes things are beyond us and there's little we can do. For that i sincerely apologise and I'm working hard to making sure such let downs never happen again in future.

4Real

14,044 views • 1 year ago

This is insane. An AI agent can run every boring job in outbound. We spent the last 6 months building ours. Here are my 8 favorite agents to build: Replies get sorted before we open the inbox. Campaigns go live from one command. Weak inboxes pull themselves out before they hurt a domain. Here are the agents behind it: 1. Reply Agent Reads every reply and drafts the response. A human reviews, edits, and sends. 2. Mailbox Health Agent Watches inbox and domain health. It predicts when you need new mailboxes, then buys and warms them. 3. Campaign Optimizer Agent Checks every live campaign every 6 hours. If 500+ leads were emailed and replies are under 4%, it tests new copy, replaces inboxes replying under 1%, and shifts sending to better hours. 4. Lead Qualification Agent Scores each lead by company size, industry, and tech stack. It enriches the record, updates your CRM, and only loads qualified leads into campaigns. High-priority prospect? You get a Slack ping. 5. Meeting Booking Agent Finds meeting requests inside replies. It books the slot, writes prep notes using the lead's background, sends reminders, and logs the outcome. 6. Pipeline Progression Agent Tracks opens, clicks, and website visits. It moves the CRM stage, triggers the next sequence, and creates a task when a lead shows real intent. 7. Copywriting Agent Writes cold emails and follow-ups in the campaign's voice. 8. Analytics Agent Watches campaign metrics in real time and explains what to fix in plain language. We built ours with custom code. Smartlead's SmartAgents let you build agents like these from a plain-English prompt, inside the platform where your campaigns already run. If you repeat an outbound task more than twice a week, that is an agent you have not built yet. Which one would you build first?

This is insane. An AI agent can run every boring job in outbound. We spent the last 6 months building ours. Here are my 8 favorite agents to build: Replies get sorted before we open the inbox. Campaigns go live from one command. Weak inboxes pull themselves out before they hurt a domain. Here are the agents behind it: 1. Reply Agent Reads every reply and drafts the response. A human reviews, edits, and sends. 2. Mailbox Health Agent Watches inbox and domain health. It predicts when you need new mailboxes, then buys and warms them. 3. Campaign Optimizer Agent Checks every live campaign every 6 hours. If 500+ leads were emailed and replies are under 4%, it tests new copy, replaces inboxes replying under 1%, and shifts sending to better hours. 4. Lead Qualification Agent Scores each lead by company size, industry, and tech stack. It enriches the record, updates your CRM, and only loads qualified leads into campaigns. High-priority prospect? You get a Slack ping. 5. Meeting Booking Agent Finds meeting requests inside replies. It books the slot, writes prep notes using the lead's background, sends reminders, and logs the outcome. 6. Pipeline Progression Agent Tracks opens, clicks, and website visits. It moves the CRM stage, triggers the next sequence, and creates a task when a lead shows real intent. 7. Copywriting Agent Writes cold emails and follow-ups in the campaign's voice. 8. Analytics Agent Watches campaign metrics in real time and explains what to fix in plain language. We built ours with custom code. Smartlead's SmartAgents let you build agents like these from a plain-English prompt, inside the platform where your campaigns already run. If you repeat an outbound task more than twice a week, that is an agent you have not built yet. Which one would you build first?

Hosun Chung

156,050 views • 23 days ago

every AI tweet writer sounds like chatgpt… so i built one that sounds like me with supermemory! it scrapes viral AI twitter every day, rewrites the bangers in my voice, and posts them straight to X. >> the stack: apify scrapes, perplexity writes, and supermemory is the memory layer that makes it actually sound like me. >> one container learns my voice as its own entity, another remembers everything i've ever shipped, so it writes like me and never repeats a take. want it? comment below ↓

every AI tweet writer sounds like chatgpt… so i built one that sounds like me with supermemory! it scrapes viral AI twitter every day, rewrites the bangers in my voice, and posts them straight to X. >> the stack: apify scrapes, perplexity writes, and supermemory is the memory layer that makes it actually sound like me. >> one container learns my voice as its own entity, another remembers everything i've ever shipped, so it writes like me and never repeats a take. want it? comment below ↓

Muskan Jain

13,961 views • 1 month ago

SOMEONE BUILT AN ENTIRE COMPANY BRAIN INSIDE CLAUDE CODE IN 7 DAYS Not Obsidian. Fully custom. A living map of every employee, every agent, every SOP on one screen. Click any node and it opens up: - what department it's in - what SOPs are attached - what it can actually access that permission layer is the whole game an employee opens the chat and the AI already knows their access level, agents, SOPs and tools surface in the conversation like you tagged them by hand Obsidian cannot do this... no dev team. no six month build. no enterprise budget. just Claude Code and one week has everything to build one full guide on building your own team below

SOMEONE BUILT AN ENTIRE COMPANY BRAIN INSIDE CLAUDE CODE IN 7 DAYS Not Obsidian. Fully custom. A living map of every employee, every agent, every SOP on one screen. Click any node and it opens up: - what department it's in - what SOPs are attached - what it can actually access that permission layer is the whole game an employee opens the chat and the AI already knows their access level, agents, SOPs and tools surface in the conversation like you tagged them by hand Obsidian cannot do this... no dev team. no six month build. no enterprise budget. just Claude Code and one week has everything to build one full guide on building your own team below

Madni Aghadi

396,476 views • 1 month ago

A special message for the Choir from Eric. “I’ve been involved in every step of restoring this historic building into a place we can call our own. And because you have been with me every step of my career, I'm proud to dedicate a physical brick of the Chief's Building to each and every one of you.” More news coming soon.

A special message for the Choir from Eric. “I’ve been involved in every step of restoring this historic building into a place we can call our own. And because you have been with me every step of my career, I'm proud to dedicate a physical brick of the Chief's Building to each and every one of you.” More news coming soon.

Eric Church

144,859 views • 2 years ago

Hey Flutter folks! 👋🏼 I'm excited to share Vide — a Flutter AI-IDE I've been building. It uses your code and allows an AI to: - Runs and tests widgets it creates - Implement pixel-perfect widgets based on a single screenshot - Writes code exactly the way you want Vide hooks into Flutter, giving you a dev focused environment — deeply integrated with AI. More info & web demo soon! Join the waitlist below 👇🏼

Hey Flutter folks! 👋🏼 I'm excited to share Vide — a Flutter AI-IDE I've been building. It uses your code and allows an AI to: - Runs and tests widgets it creates - Implement pixel-perfect widgets based on a single screenshot - Writes code exactly the way you want Vide hooks into Flutter, giving you a dev focused environment — deeply integrated with AI. More info & web demo soon! Join the waitlist below 👇🏼

Norbert Kozsir

15,116 views • 1 year ago

Claude Tag has completely changed the way I do work for the last 4 months. Except… it's not Claude Tag. Anthropic only announced that a few hours ago, and I don't even have access yet. But I did build a version of it for myself which I've been using for months now. Here's how. 4 months ago, inspired by the success of OpenClaw, I wondered what would happen if I let Claude Code on its own computer 24x7. So I built a simple harness that allowed me to turn any Mac into an AI employee with Claude Code headless mode (-p). Today, I manage 3 such AI employees. It started with Luo Ji — my and my brother Piyush Agarwal's AI co-founder, running in our personal Slack. Luo does real work for us. We've been writing a 100% of the code for 3 products on Slack with Luo now. It manages our emails and gives us a little brief each day with things we need to take action on. And so much more. And it's not just the two of us. On the consulting team at Every 🪨, we run Claudie and for the editorial team, Andy. Same architecture, same Slack, months of real work. They help the teams with work related to project management, chief-of-staff work, data hygiene, building decks, writing first drafts, even browsing X on their own account for AI updates. So it's mindblowing to see that Anthropic landed on the exact same architecture I did. Claude Tag is an AI employee that lives in your Slack workspace and does work autonomously. Anthropic says they've been running it internally for the better part of this year — opening PRs, doing real work. And so have I. So has my whole team. The architectural decisions Anthropic baked into Claude Tag are the ones we arrived at too: - Built on Claude Code - Uses its own accounts - A separate employee per team - Slack as the interface This is the future of work, and I've been living it for months. I've shifted all of my workflows — code, PRs, even the non-technical stuff — out of Claude Code and the Claude app and into Slack. I've had entire weeks where I never opened Claude Code on my laptop. Here's a video walkthrough of how I've been using this in real life.

Claude Tag has completely changed the way I do work for the last 4 months. Except… it's not Claude Tag. Anthropic only announced that a few hours ago, and I don't even have access yet. But I did build a version of it for myself which I've been using for months now. Here's how. 4 months ago, inspired by the success of OpenClaw, I wondered what would happen if I let Claude Code on its own computer 24x7. So I built a simple harness that allowed me to turn any Mac into an AI employee with Claude Code headless mode (-p). Today, I manage 3 such AI employees. It started with Luo Ji — my and my brother Piyush Agarwal's AI co-founder, running in our personal Slack. Luo does real work for us. We've been writing a 100% of the code for 3 products on Slack with Luo now. It manages our emails and gives us a little brief each day with things we need to take action on. And so much more. And it's not just the two of us. On the consulting team at Every 🪨, we run Claudie and for the editorial team, Andy. Same architecture, same Slack, months of real work. They help the teams with work related to project management, chief-of-staff work, data hygiene, building decks, writing first drafts, even browsing X on their own account for AI updates. So it's mindblowing to see that Anthropic landed on the exact same architecture I did. Claude Tag is an AI employee that lives in your Slack workspace and does work autonomously. Anthropic says they've been running it internally for the better part of this year — opening PRs, doing real work. And so have I. So has my whole team. The architectural decisions Anthropic baked into Claude Tag are the ones we arrived at too: - Built on Claude Code - Uses its own accounts - A separate employee per team - Slack as the interface This is the future of work, and I've been living it for months. I've shifted all of my workflows — code, PRs, even the non-technical stuff — out of Claude Code and the Claude app and into Slack. I've had entire weeks where I never opened Claude Code on my laptop. Here's a video walkthrough of how I've been using this in real life.

Nityesh

36,790 views • 1 month ago