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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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15,120 görüntüleme • 6 ay önce •via X (Twitter)

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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

201,218 görüntüleme • 11 ay 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:

"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:

claire vo 🖤

17,764 görüntüleme • 2 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 • 5 ay önce

Since launching in February, the Google AI Professional Certificate has become the most popular generative AI certificate of all time on Coursera. 🥳 Now, we're expanding the course to include lessons on vibe coding. With vibe coding, anyone can learn how to use everyday language to describe what they want to produce, letting AI handle the technical coding to build robust apps, automate workflows, or create custom dashboards — no prior coding experience needed. Whether you’re streamlining logistics at a multinational company or designing a custom app for your team, the Google AI Professional Certificate is built to help you learn how to make AI work for you. Learn more →

Since launching in February, the Google AI Professional Certificate has become the most popular generative AI certificate of all time on Coursera. 🥳 Now, we're expanding the course to include lessons on vibe coding. With vibe coding, anyone can learn how to use everyday language to describe what they want to produce, letting AI handle the technical coding to build robust apps, automate workflows, or create custom dashboards — no prior coding experience needed. Whether you’re streamlining logistics at a multinational company or designing a custom app for your team, the Google AI Professional Certificate is built to help you learn how to make AI work for you. Learn more →

News from Google

44,057 görüntüleme • 15 gün 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:

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:

Dan Shipper 📧

67,958 görüntüleme • 4 ay önce

"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.

"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

9,341,623 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

18,715 görüntüleme • 2 ay önce

I turned myself into a one-person company in 48 hours. No freelancers. No agencies. Just a team of AI Agents from MuleRun 2.0 that actually do the work, not chat about it. This is the closest thing to hiring an entire ops team for the price of coffee.

I turned myself into a one-person company in 48 hours. No freelancers. No agencies. Just a team of AI Agents from MuleRun 2.0 that actually do the work, not chat about it. This is the closest thing to hiring an entire ops team for the price of coffee.

MAYA

27,253 görüntüleme • 8 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

113,269 görüntüleme • 3 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

1,161,261 görüntüleme • 4 ay 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 • 3 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

230,594 görüntüleme • 1 yıl 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

13,061 görüntüleme • 10 ay 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 • 10 ay önce

Old software engineering patterns are coming back because of coding agents. Dax Raad(dax), co-founder of AI coding agent OpenCode, on why DDD is becoming more relevant and less painful: “I think it's the same problem as always, which is how do you make code bases that are easy to work in, scalable, that can flex to new requirements. A lot of the old patterns for me are coming back. We've always been a big domain-driven design company. We did it in a very light way. We're now doing it in a much heavier way because we find that these, kind of boring, enterprisey patterns end up being pretty useful because you have a bunch of idiots on your team now. Coding agents are a bunch of idiots. They are going to work 24/7 and they're going to ship a lot of stuff so you need way more guardrails than you used to. What's nice is some of these old patterns we hated because they were very verbose, they produced reliable code that was modular and safe but they were very verbose and annoying to type out… you're not typing it out anymore. Now you can get the benefits of these patterns without the downsides."

Old software engineering patterns are coming back because of coding agents. Dax Raad(dax), co-founder of AI coding agent OpenCode, on why DDD is becoming more relevant and less painful: “I think it's the same problem as always, which is how do you make code bases that are easy to work in, scalable, that can flex to new requirements. A lot of the old patterns for me are coming back. We've always been a big domain-driven design company. We did it in a very light way. We're now doing it in a much heavier way because we find that these, kind of boring, enterprisey patterns end up being pretty useful because you have a bunch of idiots on your team now. Coding agents are a bunch of idiots. They are going to work 24/7 and they're going to ship a lot of stuff so you need way more guardrails than you used to. What's nice is some of these old patterns we hated because they were very verbose, they produced reliable code that was modular and safe but they were very verbose and annoying to type out… you're not typing it out anymore. Now you can get the benefits of these patterns without the downsides."

The Pragmatic Engineer

175,050 görüntüleme • 2 ay önce

Today we're open sourcing a technical preview of the GitHub Copilot CLI SDK. Build agents with custom tools in Go, Python, TypeScript, and C#. Built on the same agent loop that powers the Copilot CLI and GitHub Coding Agent. Supports BYOK, and any model. Here is the Copilot CLI driving Excel:

Today we're open sourcing a technical preview of the GitHub Copilot CLI SDK. Build agents with custom tools in Go, Python, TypeScript, and C#. Built on the same agent loop that powers the Copilot CLI and GitHub Coding Agent. Supports BYOK, and any model. Here is the Copilot CLI driving Excel:

Evan Boyle

184,498 görüntüleme • 7 ay önce

I gave Nous Research Hermes agent a company brain. I've been LOVING Hermes agent as my personal assistant but haven't been able to use it for work. AI agents are powerful but they are siloed. They don’t have access to the same files, comments, versions, or decisions your team is working from. So I connected Hermes to Box. Now my Hermes agent can work from Slack, use files, comments, and decisions stored on Box as the single source of truth, and get shi* done.

I gave Nous Research Hermes agent a company brain. I've been LOVING Hermes agent as my personal assistant but haven't been able to use it for work. AI agents are powerful but they are siloed. They don’t have access to the same files, comments, versions, or decisions your team is working from. So I connected Hermes to Box. Now my Hermes agent can work from Slack, use files, comments, and decisions stored on Box as the single source of truth, and get shi* done.

Chris Kim

40,766 görüntüleme • 2 ay önce

98% of companies don't have a procurement team. The ones that do are stretched thin. Today, they all get backup. Introducing a suite of AI agents to run your entire purchasing process, saving you 46 hours of manual work per month and 16% on yearly vendor spend.

98% of companies don't have a procurement team. The ones that do are stretched thin. Today, they all get backup. Introducing a suite of AI agents to run your entire purchasing process, saving you 46 hours of manual work per month and 16% on yearly vendor spend.

Ramp

155,786 görüntüleme • 3 ay önce

NEW Greylock Change Agents: Evaluating Agents with Braintrust There's been a lot of discourse around evals recently, so it's timely to drop the recording of Change Agents with Ankur Goyal on the topic of how he thinks about Evaluating Agents. Timestamps: (0:00) - Intro (1:22) - Building Braintrust (5:19) - Evaluating agentic systems (11:04) - Experimentation with evals (13:18) - Adopting evals (17:09) - Evals and complex agents (21:19) - Custom scoring (25:02) - LLM as a judge (26:44) - Human-manual evaluation (30:07) - How the best in-class teams manage evals (33:57) - Future of evals for agents (37:38 ) - Audience Q&A

NEW Greylock Change Agents: Evaluating Agents with Braintrust There's been a lot of discourse around evals recently, so it's timely to drop the recording of Change Agents with Ankur Goyal on the topic of how he thinks about Evaluating Agents. Timestamps: (0:00) - Intro (1:22) - Building Braintrust (5:19) - Evaluating agentic systems (11:04) - Experimentation with evals (13:18) - Adopting evals (17:09) - Evals and complex agents (21:19) - Custom scoring (25:02) - LLM as a judge (26:44) - Human-manual evaluation (30:07) - How the best in-class teams manage evals (33:57) - Future of evals for agents (37:38 ) - Audience Q&A

Corinne Marie Riley

12,743 görüntüleme • 11 ay önce

How will companies build agents that work alongside their employees? I discuss this with Guillermo Rauch, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is Agent Native #4 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence

How will companies build agents that work alongside their employees? I discuss this with Guillermo Rauch, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is Agent Native #4 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence

Riley Brown

75,929 görüntüleme • 21 gün önce