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What happens when there are more agents than eyeballs browsing the internet? How will the economics of the internet be reinvented? Parag Agrawal thinks Shapley values may hold the answer. Parag built Twitter over a decade, eventually becoming CEO and selling the company to Elon. He's spent the last...

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119,630 görüntüleme • 2 gün önce •via X (Twitter)

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Following rapid growth, a $100M Series B, and a slate of new launches, I sat down with Parallel co-founder Travers. Parallel Web Systems is building core search infrastructure for the agentic web: systems that enable AI to retrieve, structure, and reason over information across the internet with speed, accuracy, and reliability. I joined Travers at Parallel’s new Palo Alto office for a wide-ranging conversation on: > The pace going from launch last August to becoming critical infrastructure powering production workflows at companies like Notion, Harvey, Granola, and more. > Why Parallel sees the future of search as far beyond “ten blue links,” toward systems built for retrieval, reasoning, monitoring, and computation. > The changing nature of the web itself: its economics, openness, and what happens as agents become primary users. > The artistry and legacy of internet history shaping the company: Olivetti typewriters, Douglas Hofstadler, Lloyd Shapley, Christo & Jeanne-Claude, Google’s Search Box, and how it inspired programs like the Museum of the Human Web. This is an extensive and wide ranging look into one of the most interesting sectors of the agentic web. We Terrain feel lucky to have worked with Travers and the team since the start just two years ago. So much to do.
25:45

Following rapid growth, a $100M Series B, and a slate of new launches, I sat down with Parallel co-founder Travers. Parallel Web Systems is building core search infrastructure for the agentic web: systems that enable AI to retrieve, structure, and reason over information across the internet with speed, accuracy, and reliability. I joined Travers at Parallel’s new Palo Alto office for a wide-ranging conversation on: > The pace going from launch last August to becoming critical infrastructure powering production workflows at companies like Notion, Harvey, Granola, and more. > Why Parallel sees the future of search as far beyond “ten blue links,” toward systems built for retrieval, reasoning, monitoring, and computation. > The changing nature of the web itself: its economics, openness, and what happens as agents become primary users. > The artistry and legacy of internet history shaping the company: Olivetti typewriters, Douglas Hofstadler, Lloyd Shapley, Christo & Jeanne-Claude, Google’s Search Box, and how it inspired programs like the Museum of the Human Web. This is an extensive and wide ranging look into one of the most interesting sectors of the agentic web. We Terrain feel lucky to have worked with Travers and the team since the start just two years ago. So much to do.

Willem

54,972 görüntüleme • 3 ay önce

Since our 1999 investment in Google, Kleiner Perkins has long partnered with teams building the web’s core infrastructure. Today, we are co-leading Parallel’s $100M Series A with Index Ventures. Founded by Parag Agrawal, Parallel Web Systems is building the web for agents. The platform provides a native search API and index that can retrieve, organize, and rank tokens—not blue links—so AI systems can access and reason over accurate, current context. As part of the round, Mamoon Hamid will join Parallel’s board. As Parag Agrawal puts it: “Agents aren’t issuing keywords. They declare intent and receive high-signal tokens.” Watch Mamoon’s conversation with Parag ⬇️
3:08

Since our 1999 investment in Google, Kleiner Perkins has long partnered with teams building the web’s core infrastructure. Today, we are co-leading Parallel’s $100M Series A with Index Ventures. Founded by Parag Agrawal, Parallel Web Systems is building the web for agents. The platform provides a native search API and index that can retrieve, organize, and rank tokens—not blue links—so AI systems can access and reason over accurate, current context. As part of the round, Mamoon Hamid will join Parallel’s board. As Parag Agrawal puts it: “Agents aren’t issuing keywords. They declare intent and receive high-signal tokens.” Watch Mamoon’s conversation with Parag ⬇️

Kleiner Perkins

44,860 görüntüleme • 9 ay önce

We’re officially a YOUnicorn! 🦄 Excited to share that You.com just raised $100M Series C at a $1.5B valuation, led by Cox Enterprises. We’ve been heads down building the search infrastructure for the AI and agent future. Soon there will be more AI agents using the web than humans, but today's search wasn't built for this. Agents need deep, contextual information from both public web and internal private data to make real decisions. Our web search API delivers the most up-to-date, accurate, and fastest search results for LLMs and agents. Real benchmarks show we consistently outperform the competition on accuracy and speed while staying cost-effective. Today, we’re answering over 1 billion queries every month across enterprises like DuckDuckGo, Windsurf, Harvey, and many others. There is no other startup of recent years at this scale. Grateful to our wonderful employees, customers, partners, and investors who believe in our vision. The agentic era is here - let's build it together. Try our LLM search APIs.
2:25

We’re officially a YOUnicorn! 🦄 Excited to share that You.com just raised $100M Series C at a $1.5B valuation, led by Cox Enterprises. We’ve been heads down building the search infrastructure for the AI and agent future. Soon there will be more AI agents using the web than humans, but today's search wasn't built for this. Agents need deep, contextual information from both public web and internal private data to make real decisions. Our web search API delivers the most up-to-date, accurate, and fastest search results for LLMs and agents. Real benchmarks show we consistently outperform the competition on accuracy and speed while staying cost-effective. Today, we’re answering over 1 billion queries every month across enterprises like DuckDuckGo, Windsurf, Harvey, and many others. There is no other startup of recent years at this scale. Grateful to our wonderful employees, customers, partners, and investors who believe in our vision. The agentic era is here - let's build it together. Try our LLM search APIs.

Richard Socher

63,660 görüntüleme • 11 ay önce

This is the DeepSeek moment of Search? A small team of cracked engineers built a search API for AI agents that outperforms everything built with 20x the funding. AI systems are about to become the biggest users of information on Earth. They don’t need a better Google. They need a retrieval layer built for reasoning, scale, and access beyond the web. That’s what we’re building. 1/3
2:27

This is the DeepSeek moment of Search? A small team of cracked engineers built a search API for AI agents that outperforms everything built with 20x the funding. AI systems are about to become the biggest users of information on Earth. They don’t need a better Google. They need a retrieval layer built for reasoning, scale, and access beyond the web. That’s what we’re building. 1/3

Valyu

1,135,072 görüntüleme • 10 ay önce

Today we are announcing Keenable AI, an AI-native index of the best human knowledge we have, starting with the open web. AI seems to know just about everything until you ask it about something you know deeply. The answer isn’t wrong, but it's just very average. We started Keenable to fix this problem: every model and every agent should be able to query, reason over, and continuously learn from the living web. Backed by a $26M Seed from Accel and Conviction. Built by the team that took on Google at Yandex Search, with researchers and engineers from Amazon AGI, X, and Perplexity. The Web Search API and Web Query Language for AI are live now. Together they make the web queryable at AI scale. Both are free until end of September. Seven days of benchmarks, stories, and launches ahead. Let your agents search.
1:08

Today we are announcing Keenable AI, an AI-native index of the best human knowledge we have, starting with the open web. AI seems to know just about everything until you ask it about something you know deeply. The answer isn’t wrong, but it's just very average. We started Keenable to fix this problem: every model and every agent should be able to query, reason over, and continuously learn from the living web. Backed by a $26M Seed from Accel and Conviction. Built by the team that took on Google at Yandex Search, with researchers and engineers from Amazon AGI, X, and Perplexity. The Web Search API and Web Query Language for AI are live now. Together they make the web queryable at AI scale. Both are free until end of September. Seven days of benchmarks, stories, and launches ahead. Let your agents search.

Andrey Styskin

524,683 görüntüleme • 3 gün önce

The paradigm shift is here: We are moving from a "Human-First" internet to an "Agent-First" internet. 🤖 In the latest episode of the AI on Air podcast, our CTO Scott Shi - e/acc dives deep into the future of the Agent-to-Agent (A2A) economy. Imagine a world where your AI assistant doesn't just search the web, but autonomously hires and pays other specialized agents to complete complex tasks for you. The infrastructure for this autonomous machine economy is being built right now. Are you ready for the future of AI payments? Watch the full episode to learn more⬇️
2:30

The paradigm shift is here: We are moving from a "Human-First" internet to an "Agent-First" internet. 🤖 In the latest episode of the AI on Air podcast, our CTO Scott Shi - e/acc dives deep into the future of the Agent-to-Agent (A2A) economy. Imagine a world where your AI assistant doesn't just search the web, but autonomously hires and pays other specialized agents to complete complex tasks for you. The infrastructure for this autonomous machine economy is being built right now. Are you ready for the future of AI payments? Watch the full episode to learn more⬇️

KITE AI

25,038 görüntüleme • 5 ay önce

I sat down with Robby Stein (Robby Stein), Google’s VP of Product for Search, at Google I/O. Robby is one of the most interesting product leaders in tech: he helped build Instagram Stories, Reels and Close Friends, and now leads core Google Search products including AI Overviews, AI Mode, Lens and ranking. We talked about one of the biggest shifts in the history of the web: Google Search becoming AI-native. Topics we covered: • AI Mode and whether it is an evolution of Search or a reinvention of it • how Google breaks complex questions into multiple searches behind the scenes • why AI search is much more expensive to run than traditional search • whether Google’s TPUs and infrastructure give it an advantage no one else can match • why Search volume is growing instead of being cannibalized by AI • the tension between great AI answers and traffic for publishers • how Google decides which sources and links to show • what a better internet could look like if AI Search works as intended The big question behind the whole conversation: If Google gives you the answer directly, what happens to the link-based web? A small caveat: sadly the microphones didnt work properly. Therefore the audio quality in this episode isn't perfect due to a recording issue - we appreciate your understanding.
15:57

I sat down with Robby Stein (Robby Stein), Google’s VP of Product for Search, at Google I/O. Robby is one of the most interesting product leaders in tech: he helped build Instagram Stories, Reels and Close Friends, and now leads core Google Search products including AI Overviews, AI Mode, Lens and ranking. We talked about one of the biggest shifts in the history of the web: Google Search becoming AI-native. Topics we covered: • AI Mode and whether it is an evolution of Search or a reinvention of it • how Google breaks complex questions into multiple searches behind the scenes • why AI search is much more expensive to run than traditional search • whether Google’s TPUs and infrastructure give it an advantage no one else can match • why Search volume is growing instead of being cannibalized by AI • the tension between great AI answers and traffic for publishers • how Google decides which sources and links to show • what a better internet could look like if AI Search works as intended The big question behind the whole conversation: If Google gives you the answer directly, what happens to the link-based web? A small caveat: sadly the microphones didnt work properly. Therefore the audio quality in this episode isn't perfect due to a recording issue - we appreciate your understanding.

Chubby♨️

30,486 görüntüleme • 3 ay önce

This may be the AdSense moment for the agentic web. When First Round invested in Parallel’s seed, the core thesis was a bet: AI agents would use the web far more than humans ever had, and the infrastructure to support that didn’t exist yet. Now, Parallel has over 100,000 developers and companies like Harvey, Granola, Modal, Manus, Attio and Profound relying on their APIs daily. Watching this thesis play out has surfaced a huge problem no one is tackling: if agents are using content from across the web, who gets paid and how do you even calculate that fairly? Until now, the answer has been closed-door licensing deals between the biggest AI labs and biggest publishers. Today, Parallel is launching Index as a first step toward a scalable, democratic solution. Humans still own content. They’re the writers, data owners, and publishers whose work those agents depend on to do anything useful. Index gives site owners a dashboard showing how agents are using their content and how much it contributes to the value of the work those agents are doing. Compensation is tied to contribution — calculated using impressions, citations, uniqueness, and value (tasks with the highest compute spend). All of this is presented transparently. Launch partners show the breadth of scale: from major news outlets like The Atlantic and Fortune, to data providers like PitchBook and ZoomInfo, to independent creators like Packy McCormick and Mario Gabriele. Proud to keep backing Parag Agrawal and the team at Parallel Web Systems.
1:35

This may be the AdSense moment for the agentic web. When First Round invested in Parallel’s seed, the core thesis was a bet: AI agents would use the web far more than humans ever had, and the infrastructure to support that didn’t exist yet. Now, Parallel has over 100,000 developers and companies like Harvey, Granola, Modal, Manus, Attio and Profound relying on their APIs daily. Watching this thesis play out has surfaced a huge problem no one is tackling: if agents are using content from across the web, who gets paid and how do you even calculate that fairly? Until now, the answer has been closed-door licensing deals between the biggest AI labs and biggest publishers. Today, Parallel is launching Index as a first step toward a scalable, democratic solution. Humans still own content. They’re the writers, data owners, and publishers whose work those agents depend on to do anything useful. Index gives site owners a dashboard showing how agents are using their content and how much it contributes to the value of the work those agents are doing. Compensation is tied to contribution — calculated using impressions, citations, uniqueness, and value (tasks with the highest compute spend). All of this is presented transparently. Launch partners show the breadth of scale: from major news outlets like The Atlantic and Fortune, to data providers like PitchBook and ZoomInfo, to independent creators like Packy McCormick and Mario Gabriele. Proud to keep backing Parag Agrawal and the team at Parallel Web Systems.

Todd Jackson

13,834 görüntüleme • 3 ay önce

The next internet will not be browsed. It will be operated by agents. OptimAI is building the infrastructure behind that shift. • A research task begins with Search pulling live context from the public web and social web • That context moves into Claw, where the agent can execute directly on your device • Domain knowledge becomes a Persona Agent • Core Node v2 keeps the system running at the edge • And x402 will make access and payment feel native to the flow That is the real shift: - from asking AI questions - to deploying intelligence that can work, learn, and compound. A trader can monitor signals. A founder can prepare reports overnight. A builder can publish a specialized agent once, then let others reuse it. This is what the agent-native internet looks like when it is built from the ground up. Start with OptimAI: • Persona Agent: • Claw / Core Node v2: • Search:
3:44

The next internet will not be browsed. It will be operated by agents. OptimAI is building the infrastructure behind that shift. • A research task begins with Search pulling live context from the public web and social web • That context moves into Claw, where the agent can execute directly on your device • Domain knowledge becomes a Persona Agent • Core Node v2 keeps the system running at the edge • And x402 will make access and payment feel native to the flow That is the real shift: - from asking AI questions - to deploying intelligence that can work, learn, and compound. A trader can monitor signals. A founder can prepare reports overnight. A builder can publish a specialized agent once, then let others reuse it. This is what the agent-native internet looks like when it is built from the ground up. Start with OptimAI: • Persona Agent: • Claw / Core Node v2: • Search:

OptimAI Network

18,549 görüntüleme • 3 ay önce

A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:
1:07

A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:

OptimAI Network

36,562 görüntüleme • 3 ay önce

⚫UNCANNY VALLEY: PERPLEXITY VS GOOGLE — THE WAR FOR THE FUTURE OF SEARCH BEGINS Special Guest: Aravind Srinivas Host: Dr Danish Search is dead. Agents are rising. Phones are getting smarter—without Apple or Google. Aravind Srinivas, CEO of Perplexity, lays out the future: AI-native assistants, ambient search, agent browsers, and a war for the next-gen OS. If Google is the old internet—Perplexity wants to be the new one. Welcome to The Uncanny Valley Weekly Series, Fridays at 4:20 PM ET, ONLY on 𝕏. Episode 5: THE AGENT ERA IS HERE — AND GOOGLE CAN’T STOP IT 01:05 – “We started as an answer engine.” How Perplexity went from RAG to research to real-world action. 03:03 – “Tell me what I should think about NVIDIA.” Agents as consultants, not just search engines. 05:07 – Buy buttons, autofill, AI shopping carts—how agents are already doing tasks. 07:05 – “You don’t have to see the tabs.” What the new browser will look like. 10:45 – “Warren Buffett doesn’t use apps—why should you?” The inspiration behind the AI-native phone. 12:36 – Why Apple, Google, and even OpenAI won’t build an AI-native OS. 17:28 – “Search is the most important tool in the agent era.” And Perplexity owns it. 21:33 – Mukesh Ambani’s advice: “Content is king, but distribution is GOD.” 27:13 – “Retrofit AI into iOS? It’ll never work.” Why the future needs a native platform. 30:26 – Humane failed, but the idea didn’t. Why assistants—not apps—are the next big UX shift. 33:38 – “We want Perplexity to feel like Apple.” Design still matters—even with agents. 37:11 – Why the real moat in AI isn’t models—it’s trust, taste, and vibe. 42:07 – 80M impressions in 6 weeks: How “Ask Perplexity” is going viral on 𝕏. 47:52 – “We’ve survived the internet—AI’s not scarier.” Aravind pushes back on the doomerism. 50:00 – Healthcare, finance, travel—Perplexity wants to power the vertical agent revolution. 54:24 – “LLMs can reason. But only agents can do.” Why execution is the next AI frontier. 56:34 – COMET browser drops in 3 weeks.
57:05

⚫UNCANNY VALLEY: PERPLEXITY VS GOOGLE — THE WAR FOR THE FUTURE OF SEARCH BEGINS Special Guest: Aravind Srinivas Host: Dr Danish Search is dead. Agents are rising. Phones are getting smarter—without Apple or Google. Aravind Srinivas, CEO of Perplexity, lays out the future: AI-native assistants, ambient search, agent browsers, and a war for the next-gen OS. If Google is the old internet—Perplexity wants to be the new one. Welcome to The Uncanny Valley Weekly Series, Fridays at 4:20 PM ET, ONLY on 𝕏. Episode 5: THE AGENT ERA IS HERE — AND GOOGLE CAN’T STOP IT 01:05 – “We started as an answer engine.” How Perplexity went from RAG to research to real-world action. 03:03 – “Tell me what I should think about NVIDIA.” Agents as consultants, not just search engines. 05:07 – Buy buttons, autofill, AI shopping carts—how agents are already doing tasks. 07:05 – “You don’t have to see the tabs.” What the new browser will look like. 10:45 – “Warren Buffett doesn’t use apps—why should you?” The inspiration behind the AI-native phone. 12:36 – Why Apple, Google, and even OpenAI won’t build an AI-native OS. 17:28 – “Search is the most important tool in the agent era.” And Perplexity owns it. 21:33 – Mukesh Ambani’s advice: “Content is king, but distribution is GOD.” 27:13 – “Retrofit AI into iOS? It’ll never work.” Why the future needs a native platform. 30:26 – Humane failed, but the idea didn’t. Why assistants—not apps—are the next big UX shift. 33:38 – “We want Perplexity to feel like Apple.” Design still matters—even with agents. 37:11 – Why the real moat in AI isn’t models—it’s trust, taste, and vibe. 42:07 – 80M impressions in 6 weeks: How “Ask Perplexity” is going viral on 𝕏. 47:52 – “We’ve survived the internet—AI’s not scarier.” Aravind pushes back on the doomerism. 50:00 – Healthcare, finance, travel—Perplexity wants to power the vertical agent revolution. 54:24 – “LLMs can reason. But only agents can do.” Why execution is the next AI frontier. 56:34 – COMET browser drops in 3 weeks.

Mario Nawfal

1,748,592 görüntüleme • 1 yıl önce

Firecrawl open-sourced "web-agent," a new framework that allows developers to build AI agents capable of autonomously executing "search-scrape-interact" loops on the live web. By running a single command, developers can scaffold a complete project with streaming UI, API, or library templates. The framework uses a "Plan-Act" mechanism and can spin up parallel sub-agents to process multiple websites simultaneously. It is entirely model-agnostic, allowing you to plug in OpenAI, Anthropic (with recent builds defaulting to Claude Opus 4.7), or your own self-hosted models.
0:25

Firecrawl open-sourced "web-agent," a new framework that allows developers to build AI agents capable of autonomously executing "search-scrape-interact" loops on the live web. By running a single command, developers can scaffold a complete project with streaming UI, API, or library templates. The framework uses a "Plan-Act" mechanism and can spin up parallel sub-agents to process multiple websites simultaneously. It is entirely model-agnostic, allowing you to plug in OpenAI, Anthropic (with recent builds defaulting to Claude Opus 4.7), or your own self-hosted models.

Wes Roth

53,653 görüntüleme • 4 ay önce

Google just announced the biggest upgrade to Search in over 25 years. For brands the opportunity here is pretty enormous. Here is what the new Search actually looks like and how you should take advantage: The search box now accepts text, images, files, videos, and open Chrome tabs. It expands dynamically as you type. It also anticipates your intent before you finish asking. This is the version of Search that SEO Stuff has been helping customers build for. The biggest opportunity here is what happens after the search. Google's new information agents run 24/7 in the background on behalf of your buyer. And that's why it has never been more important to understand how Google, ChatGPT, Claude and every other AI platform sees your brand. (If you want to see where your site stands across Google and AI search, start here: Here is exactly how Google's new information agents work: Step 1: The buyer does a total brain dump of what they want to stay updated on. Essentially a full description of their problem, their category, their needs. Step 2: The agent breaks down that question and maps out a plan across every relevant sub-topic. Step 3: It determines urgency and what kind of intel the buyer needs right now versus later. Step 4: It sets triggers and monitors the web continuously, scanning blogs, news sites, and social posts for relevant information as it changes. Step 5: It sends the buyer an intelligent synthesized update with links and the ability to take action. Here is why this is a massive opportunity: AI Mode already has 1 billion monthly users. Queries are more than doubling every quarter. And multiple studies have shown that users arriving via AI search are more likely to convert. With information agents running continuously for over a billion users, the brands in that cited source pool are being recommended around the clock, automatically, to buyers who are actively monitoring their category. The brands that build content depth and editorial authority now are building a presence that buildings on itself 24 hours a day. This is what SEO Stuff builds for every customer. Content that covers every sub-question a buyer in your category asks, so the agent finds you at every step of its plan. Authority building from trusted websites that signal credibility to every retrieval system Google has ever built. One investment. Continuous recommendations. Around the clock. Check it out: Our most popular done-for-you package: Our done-for-you "content only" package: There is a reason more than 80 percent of SEO Stuff customers reorder. The results continue long after the work is done. #GoogleIO📷📷📷 #Google📷📷📷
1:26

Google just announced the biggest upgrade to Search in over 25 years. For brands the opportunity here is pretty enormous. Here is what the new Search actually looks like and how you should take advantage: The search box now accepts text, images, files, videos, and open Chrome tabs. It expands dynamically as you type. It also anticipates your intent before you finish asking. This is the version of Search that SEO Stuff has been helping customers build for. The biggest opportunity here is what happens after the search. Google's new information agents run 24/7 in the background on behalf of your buyer. And that's why it has never been more important to understand how Google, ChatGPT, Claude and every other AI platform sees your brand. (If you want to see where your site stands across Google and AI search, start here: Here is exactly how Google's new information agents work: Step 1: The buyer does a total brain dump of what they want to stay updated on. Essentially a full description of their problem, their category, their needs. Step 2: The agent breaks down that question and maps out a plan across every relevant sub-topic. Step 3: It determines urgency and what kind of intel the buyer needs right now versus later. Step 4: It sets triggers and monitors the web continuously, scanning blogs, news sites, and social posts for relevant information as it changes. Step 5: It sends the buyer an intelligent synthesized update with links and the ability to take action. Here is why this is a massive opportunity: AI Mode already has 1 billion monthly users. Queries are more than doubling every quarter. And multiple studies have shown that users arriving via AI search are more likely to convert. With information agents running continuously for over a billion users, the brands in that cited source pool are being recommended around the clock, automatically, to buyers who are actively monitoring their category. The brands that build content depth and editorial authority now are building a presence that buildings on itself 24 hours a day. This is what SEO Stuff builds for every customer. Content that covers every sub-question a buyer in your category asks, so the agent finds you at every step of its plan. Authority building from trusted websites that signal credibility to every retrieval system Google has ever built. One investment. Continuous recommendations. Around the clock. Check it out: Our most popular done-for-you package: Our done-for-you "content only" package: There is a reason more than 80 percent of SEO Stuff customers reorder. The results continue long after the work is done. #GoogleIO📷📷📷 #Google📷📷📷

Alex Groberman

157,952 görüntüleme • 3 ay önce

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.
7:37

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

Santiago

20,943 görüntüleme • 25 gün önce

Aaron Levie is one of the greats. He’s been the co-founder and CEO of Box for 20 years, of which public CEO for 10. And he shows no signs of slowing down, as one of the most active CEOs thinking about how AI agents will shape enterprise software. In our Greylock Partners Change Agents, Aaron and I discussed the question: happens when SaaS is no longer built for humans, but for a much larger scale of agents and humans orchestrating those agents? A few of my favorite topics from the episode: - Why 90%+ of enterprise data has gone unused to date and how agents finally make it accessible - Why SaaS categories won’t disappear, but will be rebuilt around agent orchestration layers - Why the system of record doesn't lose importance, but gains importance the enable agents - How abundance (not labor replacement) is the real shift agents bring to knowledge work - And the real moat in the agent era may be neither the model nor the interface but the workflow memory the agent accumulates over time Aaron has one of the clearest, most grounded takes on where agents for the enterprise can go and what happens to traditional enterprise SaaS. Full episode below:
58:24

Aaron Levie is one of the greats. He’s been the co-founder and CEO of Box for 20 years, of which public CEO for 10. And he shows no signs of slowing down, as one of the most active CEOs thinking about how AI agents will shape enterprise software. In our Greylock Partners Change Agents, Aaron and I discussed the question: happens when SaaS is no longer built for humans, but for a much larger scale of agents and humans orchestrating those agents? A few of my favorite topics from the episode: - Why 90%+ of enterprise data has gone unused to date and how agents finally make it accessible - Why SaaS categories won’t disappear, but will be rebuilt around agent orchestration layers - Why the system of record doesn't lose importance, but gains importance the enable agents - How abundance (not labor replacement) is the real shift agents bring to knowledge work - And the real moat in the agent era may be neither the model nor the interface but the workflow memory the agent accumulates over time Aaron has one of the clearest, most grounded takes on where agents for the enterprise can go and what happens to traditional enterprise SaaS. Full episode below:

Corinne Marie Riley

43,790 görüntüleme • 8 ay önce

OptimAI Search MCP brings live context to the agents people already use. Claude. Cursor. Copilot. Codex. One integration layer. Everywhere you build. Under the hood, OptimAI can process hundreds to thousands of real-time signals in parallel across the public web, social platforms, and onchain data - all powered by a decentralized network. That is the difference: not another search tool, but infrastructure for agent-native intelligence. Build with it. 💡 -- OptimAI: the #1 AI on BNB Chain DappBay.
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OptimAI Search MCP brings live context to the agents people already use. Claude. Cursor. Copilot. Codex. One integration layer. Everywhere you build. Under the hood, OptimAI can process hundreds to thousands of real-time signals in parallel across the public web, social platforms, and onchain data - all powered by a decentralized network. That is the difference: not another search tool, but infrastructure for agent-native intelligence. Build with it. 💡 -- OptimAI: the #1 AI on BNB Chain DappBay.

OptimAI Network

58,176 görüntüleme • 2 ay önce

There's probably $100+ billion up for grabs for people who build startup for AI agents Over the next 10 years you're going to have a market of billions of customers (agents) with millions of wallets that want to use your services. TLDR; The internet was built for people: 1. Search google 2. Read landing page 3. Book demo 4. Talk to sales 5. Buy Agents don’t do that. Agents will: 1. Ask which product to use 2. Read your docs/pricing/security pages 3. Compare you to competitors 4. Check if you have an MCP/API/tool layer 5. Buy or recommend you without ever “visiting” your site like a person Everyone is going to have personal agents and business agents. This feels inevitable at this point. OpenClaw, Hermes, Claude Code, Codex, Google Spark. The tools are here. Which means there will be more agents on the internet than humans. So, where's the opportunity?? Go look at every SaaS tool you use. Notion. Slack. Jira. Google Analytics. Now ask: what is the version of this built purely for agents? Agent-native payments. Agent-native communication. Agent-native memory. Every category gets rebuilt. I clearly break down this shift and explain you everything on today's ep of The Startup Ideas Podcast (SIP) 🧃. Over the next 10 years you're going to have a market of billions of customers (agents) with millions of wallets that want to use your services. The founders who build for them now are going to look like the people who built websites in 1995. Might feel janky at the moment, but also obvious in hindsight. This is the next shift. Link over here: Watch
13:59

There's probably $100+ billion up for grabs for people who build startup for AI agents Over the next 10 years you're going to have a market of billions of customers (agents) with millions of wallets that want to use your services. TLDR; The internet was built for people: 1. Search google 2. Read landing page 3. Book demo 4. Talk to sales 5. Buy Agents don’t do that. Agents will: 1. Ask which product to use 2. Read your docs/pricing/security pages 3. Compare you to competitors 4. Check if you have an MCP/API/tool layer 5. Buy or recommend you without ever “visiting” your site like a person Everyone is going to have personal agents and business agents. This feels inevitable at this point. OpenClaw, Hermes, Claude Code, Codex, Google Spark. The tools are here. Which means there will be more agents on the internet than humans. So, where's the opportunity?? Go look at every SaaS tool you use. Notion. Slack. Jira. Google Analytics. Now ask: what is the version of this built purely for agents? Agent-native payments. Agent-native communication. Agent-native memory. Every category gets rebuilt. I clearly break down this shift and explain you everything on today's ep of The Startup Ideas Podcast (SIP) 🧃. Over the next 10 years you're going to have a market of billions of customers (agents) with millions of wallets that want to use your services. The founders who build for them now are going to look like the people who built websites in 1995. Might feel janky at the moment, but also obvious in hindsight. This is the next shift. Link over here: Watch

GREG ISENBERG

55,630 görüntüleme • 2 ay önce

Agents shouldn’t be one-size-fits-all. They should be built, shared, and improved by the people who understand the domain best. Agent Marketplace is live on OptimAI Search. Anyone can: • create their own agent • inject custom knowledge and logic • publish it for others to use and build on What starts as a prompt becomes a reusable unit of intelligence. As more agents are created and used, the system compounds - better agents, better outputs, more value across the network. This is how intelligence scales: not from a single model, but from a network of specialized agents.
1:43

Agents shouldn’t be one-size-fits-all. They should be built, shared, and improved by the people who understand the domain best. Agent Marketplace is live on OptimAI Search. Anyone can: • create their own agent • inject custom knowledge and logic • publish it for others to use and build on What starts as a prompt becomes a reusable unit of intelligence. As more agents are created and used, the system compounds - better agents, better outputs, more value across the network. This is how intelligence scales: not from a single model, but from a network of specialized agents.

OptimAI Network

12,527 görüntüleme • 4 ay önce

INTERVIEW: Cloudflare Needs 100M TPS from Crypto to Fix the Internet | CEO Matthew Prince The internet is about to be flooded by machines, and Matthew Prince 🌥 thinks the old business model is not ready. The Cloudflare co-founder and CEO joins Bankless to explain why AI agent traffic could overtake human traffic by 2027, how crawlers are changing the economics of content, why ads and subscriptions may not survive in their current form, and how x402, stablecoins, and pay-per-crawl could create a new payment layer for the web. [TIMESTAMPS] 0:00 Intro 1:18 When AI Bot Traffic Overtakes Humans 4:19 What Cloudflare Actually Does 8:33 Life on the Internet’s “Ice Wall” 11:26 The Internet’s Business Model Problem 15:36 Google, Traffic, and the Attention Economy 22:49 AI Agents and the End of Ads 26:40 Why Faster Answers Can Still Hurt Creators 31:19 AI Companies as the Next YouTube or Netflix 36:11 Creating Scarcity for Content Markets 39:45 Content Independence Day 43:35 Should AI Agents Count as Human Users? 49:30 The Risks of Subscription-Only AI 53:36 A Golden Age of Content Creation? 57:58 Pay-Per-Crawl and x402 1:00:46 Why Stablecoins Matter 1:04:08 The Cloudflare Stablecoin Question 1:10:30 The Final Form of the Internet 1:13:52 The Park Record and Local Journalism 1:18:27 The Centralization Risk 1:23:24 Advice for Content Creators
1:32:42

INTERVIEW: Cloudflare Needs 100M TPS from Crypto to Fix the Internet | CEO Matthew Prince The internet is about to be flooded by machines, and Matthew Prince 🌥 thinks the old business model is not ready. The Cloudflare co-founder and CEO joins Bankless to explain why AI agent traffic could overtake human traffic by 2027, how crawlers are changing the economics of content, why ads and subscriptions may not survive in their current form, and how x402, stablecoins, and pay-per-crawl could create a new payment layer for the web. [TIMESTAMPS] 0:00 Intro 1:18 When AI Bot Traffic Overtakes Humans 4:19 What Cloudflare Actually Does 8:33 Life on the Internet’s “Ice Wall” 11:26 The Internet’s Business Model Problem 15:36 Google, Traffic, and the Attention Economy 22:49 AI Agents and the End of Ads 26:40 Why Faster Answers Can Still Hurt Creators 31:19 AI Companies as the Next YouTube or Netflix 36:11 Creating Scarcity for Content Markets 39:45 Content Independence Day 43:35 Should AI Agents Count as Human Users? 49:30 The Risks of Subscription-Only AI 53:36 A Golden Age of Content Creation? 57:58 Pay-Per-Crawl and x402 1:00:46 Why Stablecoins Matter 1:04:08 The Cloudflare Stablecoin Question 1:10:30 The Final Form of the Internet 1:13:52 The Park Record and Local Journalism 1:18:27 The Centralization Risk 1:23:24 Advice for Content Creators

Bankless

41,894 görüntüleme • 3 ay önce