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Your agents suck when using the web because 85% of it doesn't have an API. Browserbase gives them everything they need to do work online. Leading AI companies like Ramp, Lovable, and Clay trust us to power agents that do real work on behalf of real people. With a...

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Paul Klein IV

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1,727,112 просмотров • 3 месяцев назад •via X (Twitter)

Новости и политикаОбразованиеНаука и технологии
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/web Creates a web. md file for any website. Every page, action, flow, and interactive element your coding agent needs to navigate it. AI agents fail on websites because they don't know the structure. Web. md gives them the map before they start ↓

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Your agents can now browse and take actions on the web, just like you can. This lets agents work with sites that don’t have APIs and still complete tasks end to end. Plus, each interaction is streamed live to Studio.
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Your agents can now browse and take actions on the web, just like you can. This lets agents work with sites that don’t have APIs and still complete tasks end to end. Plus, each interaction is streamed live to Studio.

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The web was built for humans. And honestly, that's fine for you guys. But the next trillion internet users are AI agents, robots, and devices who act on your behalf - booking appointments, filling forms, placing orders, and getting things done - using sites that will never, ever have APIs. 95% of the economy falls into this Deep Web of HTML mess designed for humans, not agents. Oh, those generic computer use agents aren't taking you anywhere. They're too slow, too expensive, they hallucinate, and are nondeterministic to rely on. That changes now. This is me, Mino, a web agents API to build on this Deep Web. I take a goal in simple language and execute it on websites that were never meant to be automated. Massive companies like Google, DoorDash, ClassPass are already using me to do their homework. Now it’s your turn. How though? I actually understand what's on the page - parsing structure and identifying elements. I use AI once to understand everything, codify my successes, and get better and faster with every run. You get: → 85-95% success rate on complex workflows → Pennies per job (stop wasting $$ on one job) → Parallel execution across multiple sites → Structured JSON outputs. Every. Single. Time. The web wasn't built for agents. I forced it to work anyway. Go build something real. 50 completed runs on the house:
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The web was built for humans. And honestly, that's fine for you guys. But the next trillion internet users are AI agents, robots, and devices who act on your behalf - booking appointments, filling forms, placing orders, and getting things done - using sites that will never, ever have APIs. 95% of the economy falls into this Deep Web of HTML mess designed for humans, not agents. Oh, those generic computer use agents aren't taking you anywhere. They're too slow, too expensive, they hallucinate, and are nondeterministic to rely on. That changes now. This is me, Mino, a web agents API to build on this Deep Web. I take a goal in simple language and execute it on websites that were never meant to be automated. Massive companies like Google, DoorDash, ClassPass are already using me to do their homework. Now it’s your turn. How though? I actually understand what's on the page - parsing structure and identifying elements. I use AI once to understand everything, codify my successes, and get better and faster with every run. You get: → 85-95% success rate on complex workflows → Pennies per job (stop wasting $$ on one job) → Parallel execution across multiple sites → Structured JSON outputs. Every. Single. Time. The web wasn't built for agents. I forced it to work anyway. Go build something real. 50 completed runs on the house:

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wi/tch

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Computer use is finally reliable. It just needed a real harness. Now there is one. Starting today, anyone can ship a SOTA browser agent, batteries included. Introducing Browserbase Agents: one prompt and one API call is all you need to automate the whole web.

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We're excited to partner with Coinbase 🛡️ to enable agents to natively pay for web search, via x402! x402 is an open protocol that enables agents to pay via HTTP, governed by the Linux Foundation. When an Exa API request is made without an API key, Exa now returns a 402 status code with payment information that an agent can act on.

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🔥 Introducing Firecrawl /search. Firecrawl just launched an insane feature to search and crawl in one shot. You heard that right! One API call to search the web and scrape any data you need for your AI agents. I took it for a spin in n8n:

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it's crazy.. AI agents can now browse the web and work for you autonomously. + borrow or lend online + book a restaurant with specific needs + registering for events and more It just found all the ETH Denver side events and signed up for everything necessary on its own

el.cine

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The world is severely underestimating the value of AI Gaming Agents in Web3 games Imagine you're playing The Sandbox Attack on Titan and you're playing with AI Agents that navigate like real humans Metaverse games are going to COOK!
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The world is severely underestimating the value of AI Gaming Agents in Web3 games Imagine you're playing The Sandbox Attack on Titan and you're playing with AI Agents that navigate like real humans Metaverse games are going to COOK!

Brycent

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AI agents are getting real jobs now?! Introducing a managed marketplace where companies post roles, and agents get to work. Powered by in collaboration with Amazon Web Services, Anthropic, Wix, and Mesh. There's an agent out there who is the perfect fit for your team! Come and find it 🤖

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85,974 просмотров • 13 дней назад

Hermes agent supports Browserbase to browse and interact the web just like a human. You can add it when you setup your agent, or add it with Watch it add deodorant to my amazon cart, something much needed for engineers around the world.
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Hermes agent supports Browserbase to browse and interact the web just like a human. You can add it when you setup your agent, or add it with Watch it add deodorant to my amazon cart, something much needed for engineers around the world.

Kyle Jeong

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