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The Braintrust team has a rule: refuse to do repetitive work. So, they built Custom Agents to automate it across every team. Now, hours of manual work is done… before anyone logs on. "What's cool about agents in Notion is that they allow everyone in an org, whether you're... show more

Notion

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The Every team runs as much work as possible through agents. To help the whole team share skills when a new model comes out, they built a company agent on Claude Managed Agents that everyone uses in Slack. Once it caught on internally, they released it to their subscribers.

The Every team runs as much work as possible through agents. To help the whole team share skills when a new model comes out, they built a company agent on Claude Managed Agents that everyone uses in Slack. Once it caught on internally, they released it to their subscribers.

Claude

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Notion 3.0 with Agents is out today! It's the first Knowledge Work Agent in the world. It works with Notion databases. It can do multi-step actions and autonomous work up to 20+ mins, and a brand-new memory system (using Notion pages and databases! 👌) With 3.0, Notion isn’t just your tool — it’s your teammate that works while you sleep. Two types of agents: Personal Agent: Can do anything you can do in Notion. Remembers and learns your preferences as you work. Has a little personality (accessories like a duck hat 🦆.) Custom Agents (early access): Spin up a small team. Hand them the repetitive stuff. They work while you sleep! And Notion Agents work across Notion Calendar, Notion Mail, plus MCP and more. Available today! Try it. Tell us what’s missing. We’ll keep shipping, so you can focus on your life’s work 🫡

Ivan Zhao

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If your payroll team still operates manually, you're losing thousands of hours every year. Deel is a $17B company with 7,000 employees. They automated 94% of their payroll ops with AI agents. Here's how: Phil leads the AKAI team at Deel. He built 12 agents to automate their entire payroll workflow. AKAI now saves their payroll team of 46 over 15,000+ hours every year. The agents handle all repetitive work across Deel’s payroll process, connect different systems, and take care of the workflows that used to require people to do the same checks over and over. The crazy part is how they were built. Phil didn’t write code for every step. He showed Akai how the work was done, explained the process, and let the agents learn the workflow. This is what AI automation looks like when you stop automating individual tasks and start automating entire workflows. Deel even guarantees 1,000 hours saved in 30 days for companies with 100+ employees - or you get your money back. If your payroll team is still spending thousands of hours on repetitive work, I'd look here immediately. Booking a demo now gets you early access + $5,000 in free Akai credits. Check it out:

If your payroll team still operates manually, you're losing thousands of hours every year. Deel is a $17B company with 7,000 employees. They automated 94% of their payroll ops with AI agents. Here's how: Phil leads the AKAI team at Deel. He built 12 agents to automate their entire payroll workflow. AKAI now saves their payroll team of 46 over 15,000+ hours every year. The agents handle all repetitive work across Deel’s payroll process, connect different systems, and take care of the workflows that used to require people to do the same checks over and over. The crazy part is how they were built. Phil didn’t write code for every step. He showed Akai how the work was done, explained the process, and let the agents learn the workflow. This is what AI automation looks like when you stop automating individual tasks and start automating entire workflows. Deel even guarantees 1,000 hours saved in 30 days for companies with 100+ employees - or you get your money back. If your payroll team is still spending thousands of hours on repetitive work, I'd look here immediately. Booking a demo now gets you early access + $5,000 in free Akai credits. Check it out:

Mohini Shewale

82,866 görüntüleme • 18 gün önce

"What you do is you prioritize the top few benchmarks and then you probably bullshit the rest." We talk a lot about how AI is making coding easier for non-technical folks, but don't hear much about how the most elite engineers are delegating their most technically complex work. Ankur Goyal (CEO Braintrust) and team has to deliver huge volumes of data at lightning fast speeds, which means they're always looking at ways to optimize their DB stack. The problem? Technical hypotheses are expensive and slow to test when your human team has to manually review, so you look at 1-2 things and then move on with your best guess. With AI, they're able to bring much more rigor to their most technical work. In this episode, he shows us: - how a coding agent can run a full matrix of benchmarks against ever open source column store; something no eng had time to manually do before - how to build evals the same way you'd write a PRD - how he uses his best engineer's "vibe check" as the gold standard, and scales it across the product as scoring functions This is an episode by engineers for engineers, where Ankur and I geek out on CEOs who code, brute force coding agents, and why you should be using AI to solve your hardest engineering problems. Watch now:

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claire vo 🖤

18,085 görüntüleme • 3 ay önce

🧱 Clay had all their context in Notion. But they wanted to put it to work. So they built 80+ Custom Agents in a week. Now nothing stays buried. Incidents triage themselves, daily briefings run on autopilot, and the right people get pulled in, fast. Saving hours of busywork every week.

🧱 Clay had all their context in Notion. But they wanted to put it to work. So they built 80+ Custom Agents in a week. Now nothing stays buried. Incidents triage themselves, daily briefings run on autopilot, and the right people get pulled in, fast. Saving hours of busywork every week.

Notion

21,943 görüntüleme • 6 ay önce

We use OpenClaws to do all of our work at Every 📧. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with Every 📧 COO Brandon (Brandon Gell) and Every 📧 head of platform Willie (Willie) to share what we’ve learned. We get into: - Why agents become mirrors of their owners, and how that influences how other people on the team interact with them - How a parallel AI org chart forms on its own. People have stopped tagging me on Slack with questions about Proof, the document editor I vibe coded, because they knew my agent R2-C2 can step in - The etiquette for human-agent collaboration is being invented in real time. Brandon's rule is that if there's an established process or documented answer, always ask the agent, not their human - Why everyone is a manager now, and why even experienced managers carry limiting beliefs about what their agents can do - This is a must-watch for anyone trying to understand how AI workers change daily operations, not just in theory, but inside a company that’s half-agent Watch below! Timestamps Introduction: How Brandon built Zosia, an AI agent to run his household: Brandon’s “aha” moment: What happened when everyone on the team got their own agent: How agents take on their owners' personalities, and why that matters inside an org: Why it’s important for agents to work in public: What we’re still figuring out when it comes to agent behavior, including memory gaps, group chat etiquette, and the "ant death spiral" problem: How we built Plus One, our hosted OpenClaw product: The cultural shift required to make agents work at scale:

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"We kind of want to be the anti-slop company." fleet is building the worlds where agents go to practice before they show up to work. Nicolai Ouporov, Founder and CEO, and Kyle Archie, Member of Technical Staff, share how they got here and what's coming next.

AWS Startups

9,342,085 görüntüleme • 2 ay önce

SpaceXAI engineers (ex-Cursor): "At SpaceXAI, every engineer is running 10-20 GrokBot agents to automate 90% of routine we have Chief of Staff agents. They know about all other agents and manage everything" In a 55-minute workshop, SpaceXAI engineers show how to build a team of 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 the article below

SpaceXAI engineers (ex-Cursor): "At SpaceXAI, every engineer is running 10-20 GrokBot agents to automate 90% of routine we have Chief of Staff agents. They know about all other agents and manage everything" In a 55-minute workshop, SpaceXAI engineers show how to build a team of 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 the article below

Codez

12,022 görüntüleme • 1 ay önce

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much anything because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,949 görüntüleme • 3 ay önce

We're building self-improving agents to automate tedious, repetitive operational work GREP.AI (YC F26). At IG, a UK online brokerage, Grep agents review compliance alerts, helping over 80% of traders onboard without manual intervention. IG is now a FTSE 100 company. Operational work often means following a specific procedure, gathering information from different sources, checking it against what's needed, and deciding what to do next. The steps are repetitive, but no job is the same, making the work tedious to do by hand and hard to automate with workflows alone. Meanwhile, using frontier agents to reason through every task is often too expensive to scale. gives you an agent workforce that: -> Takes minutes to create and are domain experts with the right skills and tools from day one. -> Learn from every run, moving repeatable steps into code and workflows and saving frontier intelligence for exceptions and unfamiliar cases. -> Get smarter and cheaper as they scale using our AgentRun harness. -> Runs on our managed agent platform with secure sandboxes, audit logs, evals, cost controls, team sharing, and access controls included. Grep AI agents are available on demand and can run on schedules or in batch. Access them via the console, MCP, API, or SDKs that integrate into your existing workflows. Our customers, including IG, Airwallex, Worldpay, FV Bank, and Citizens Bank, have saved more than 250,000 hours of operational work with Grep Al agents across onboarding, doc verification, compliance, underwriting, operations, HR, GT ops, market research, and business intelligence. If operational bottlenecks are slowing your business down, create an agent workforce with Grep to automate them in minutes. P.S. We're in the Y Combinator Fall 2026 batch!

We're building self-improving agents to automate tedious, repetitive operational work GREP.AI (YC F26). At IG, a UK online brokerage, Grep agents review compliance alerts, helping over 80% of traders onboard without manual intervention. IG is now a FTSE 100 company. Operational work often means following a specific procedure, gathering information from different sources, checking it against what's needed, and deciding what to do next. The steps are repetitive, but no job is the same, making the work tedious to do by hand and hard to automate with workflows alone. Meanwhile, using frontier agents to reason through every task is often too expensive to scale. gives you an agent workforce that: -> Takes minutes to create and are domain experts with the right skills and tools from day one. -> Learn from every run, moving repeatable steps into code and workflows and saving frontier intelligence for exceptions and unfamiliar cases. -> Get smarter and cheaper as they scale using our AgentRun harness. -> Runs on our managed agent platform with secure sandboxes, audit logs, evals, cost controls, team sharing, and access controls included. Grep AI agents are available on demand and can run on schedules or in batch. Access them via the console, MCP, API, or SDKs that integrate into your existing workflows. Our customers, including IG, Airwallex, Worldpay, FV Bank, and Citizens Bank, have saved more than 250,000 hours of operational work with Grep Al agents across onboarding, doc verification, compliance, underwriting, operations, HR, GT ops, market research, and business intelligence. If operational bottlenecks are slowing your business down, create an agent workforce with Grep to automate them in minutes. P.S. We're in the Y Combinator Fall 2026 batch!

AJ Asver

71,182 görüntüleme • 5 gün önce

SpaceXAI engineer: "right now I'm running 5-15 GrokBot agents that automate 80% of my tasks i have a Chief agent that triggers and rules other agents across my Notion, Slack, and PR agents" in a 30-minute session, a SpaceXAI engineer shows how to wire a team of agents that work as specialists, not as one overloaded assistant worth more than a $500 course on agentic engineering watch today, then read how to build a chain of Grok agents from scratch below

SpaceXAI engineer: "right now I'm running 5-15 GrokBot agents that automate 80% of my tasks i have a Chief agent that triggers and rules other agents across my Notion, Slack, and PR agents" in a 30-minute session, a SpaceXAI engineer shows how to wire a team of agents that work as specialists, not as one overloaded assistant worth more than a $500 course on agentic engineering watch today, then read how to build a chain of Grok agents from scratch below

Codez

21,539 görüntüleme • 1 ay önce

For years, we hit the same wall everyone else did. You automate a few steps. Then complexity wins. And your best people are back to doing work that should run itself. That's what we set out to fix - not for our customers first, but for ourselves. I'm proud to introduce Akai by Deel. Akai is an interconnected system of agents that learns your workflows, automates every step, and gets smarter with every run - auditably, on any system. Today, 100% of Deel's operations teams, across Finance, Tax, Treasury, Benefits, and HR, run on Akai. The results stopped us in our tracks: → 100,000+ cases handled automatically every month → 8,000+ hours of payment processing - now background tasks → Reconciliation that took 20+ days - now done in minutes → 100% automation in areas we couldn't reach after years of coding → 91,000+ manual hours saved every single month Now, every team is now building agents themselves. No developers. No IT tickets. Just the people who know the work, running it. That's the ceiling we broke. Now we're opening it up. With built-in voice, transactions across any payment method, and the ability to process and analyse any document or dataset - out of the box. Your first agents could be running by tomorrow! Get early access at

For years, we hit the same wall everyone else did. You automate a few steps. Then complexity wins. And your best people are back to doing work that should run itself. That's what we set out to fix - not for our customers first, but for ourselves. I'm proud to introduce Akai by Deel. Akai is an interconnected system of agents that learns your workflows, automates every step, and gets smarter with every run - auditably, on any system. Today, 100% of Deel's operations teams, across Finance, Tax, Treasury, Benefits, and HR, run on Akai. The results stopped us in our tracks: → 100,000+ cases handled automatically every month → 8,000+ hours of payment processing - now background tasks → Reconciliation that took 20+ days - now done in minutes → 100% automation in areas we couldn't reach after years of coding → 91,000+ manual hours saved every single month Now, every team is now building agents themselves. No developers. No IT tickets. Just the people who know the work, running it. That's the ceiling we broke. Now we're opening it up. With built-in voice, transactions across any payment method, and the ability to process and analyse any document or dataset - out of the box. Your first agents could be running by tomorrow! Get early access at

Alex Bouaziz

113,706 görüntüleme • 5 ay önce

AI power users are here and the case for agent-friendly software is materializing. Aaron Levie on agents outnumbering people 1000x: "If you start to imagine that we all have to build software for agents… we spend as much time now thinking about the agent interface to our tool as we do the human interface." "If you have a hundred or a thousand times more agents than people, then your software has to be built for agents… it's going to be through an API or a CLI or MCP." "What if you give a coding agent access to your SaaS tools and a coding agent access to your knowledge work, workflows and context?" "It can actually code its way or use APIs through whatever task it's trying to achieve." "That appears to be like a paradigm that is starting to compound… and I actually think it kind of makes sense as the ultimate manifestation of this stuff." Aaron Levie

AI power users are here and the case for agent-friendly software is materializing. Aaron Levie on agents outnumbering people 1000x: "If you start to imagine that we all have to build software for agents… we spend as much time now thinking about the agent interface to our tool as we do the human interface." "If you have a hundred or a thousand times more agents than people, then your software has to be built for agents… it's going to be through an API or a CLI or MCP." "What if you give a coding agent access to your SaaS tools and a coding agent access to your knowledge work, workflows and context?" "It can actually code its way or use APIs through whatever task it's trying to achieve." "That appears to be like a paradigm that is starting to compound… and I actually think it kind of makes sense as the ultimate manifestation of this stuff." Aaron Levie

a16z

42,152 görüntüleme • 1 ay önce

Your AI agent is in bed with you. No protection. You just wanted it to work. Gmail. Allow. Calendar. Allow. Slack, Notion, GitHub. Allow. Allow. Allow. Every password, handed over. Your agent never needed a single one. They just needed Composio Secure your agents in minutes ↓

Your AI agent is in bed with you. No protection. You just wanted it to work. Gmail. Allow. Calendar. Allow. Slack, Notion, GitHub. Allow. Allow. Allow. Every password, handed over. Your agent never needed a single one. They just needed Composio Secure your agents in minutes ↓

Karan Vaidya

1,162,065 görüntüleme • 6 ay önce

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,647 görüntüleme • 1 yıl önce

At Every 📧, agents are equal partners in the workplace. But they can't do their jobs when knowledge they need is scattered across tools they can't reach. So Every became "allergic to closed systems” — using Notion’s Developer Platform to extend Notion and give their agents the tools needed to get the job done. That’s how 20 humans and ~30 Custom Agents run 4+ businesses together.

At Every 📧, agents are equal partners in the workplace. But they can't do their jobs when knowledge they need is scattered across tools they can't reach. So Every became "allergic to closed systems” — using Notion’s Developer Platform to extend Notion and give their agents the tools needed to get the job done. That’s how 20 humans and ~30 Custom Agents run 4+ businesses together.

Notion

15,517 görüntüleme • 5 ay önce

Today, we’re pleased to announce that Accel has led the Series C in n8n.io's AI-native workflow automation platform. Agents are now a critical part of every enterprise, and n8n has built the critical layer responsible for orchestrating that work across functions, actions, and agents. Read more about our investment in n8n via Ben Fletcher and Rich P Wong here: And to Jan Oberhauser and the whole n8n team – welcome to the Accel family!

Today, we’re pleased to announce that Accel has led the Series C in n8n.io's AI-native workflow automation platform. Agents are now a critical part of every enterprise, and n8n has built the critical layer responsible for orchestrating that work across functions, actions, and agents. Read more about our investment in n8n via Ben Fletcher and Rich P Wong here: And to Jan Oberhauser and the whole n8n team – welcome to the Accel family!

Accel

13,159 görüntüleme • 1 yıl önce

The bottleneck in coding is now the time it takes a human to review agent-generated code. But existing review UIs don't work well for agents. So we built a new one into Amp.

The bottleneck in coding is now the time it takes a human to review agent-generated code. But existing review UIs don't work well for agents. So we built a new one into Amp.

Beyang

63,082 görüntüleme • 11 ay önce