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Today we're launching Index: a platform for content owners to understand how AI agents use their work, and earn revenue when they do. Our first partners include The Atlantic, FORTUNE, PR Newswire, PitchBook, ZoomInfo, Tracxn, RocketReach, enigma_data, Fiscal.ai, plus creators Alex Heath, Mario Gabriele Azeem Azhar, Every 🧱, and... show more

Parallel Web Systems

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424,677 views • 2 months ago •via X (Twitter)

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🚀 Exciting News! After 6 years, our journey from a simple music metadata company to a trailblazing generative AI-powered platform enabling artists to license their voice reaches a new milestone. We’ve secured our Seed round and are launching our first product TRINITI. What began with a "boring" yet crucial idea: owning your music metadata; has morphed into a platform for revolutionizing how creators leverage this data using AI and smart contracts. TRINITI, used by 𝖦𝗋𝗂𝗆𝖾𝗌 ⏳ to build ElfTech, showcases the power of AI in music. Our platform is more than tech; it's a new artistic paradigm. Just as artists should own their masters and their data they should own their AI. Their Artistic Intelligence. With AI, we're not replacing artists but augmenting their creativity and control over their work. Our tools are designed for creators, by creators. To all our supporters, investors, and the music community – this is just the beginning. We're here to make a difference, and with your help, we'll transform how the world interacts with music. Stay tuned for more updates and get ready to experience the future of music with us! TRINITI

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DAOuda

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UGC has taken over marketing. The brands growing fastest today are scaling creators and running so called UGC farms - 200+ creators pushing videos for their brands daily! And the teams behind those brands? They use TopYappers. From top UGC agencies to AI startups, TopYappers has been trusted to be the go to platform of multiple brands Today, we're launching TopYappers V2 🔥 Built to help you find creators faster, manage them easier, and scale without limits. What’s new: → AI Matching, Upgraded: find the best creators for your brand with up to 99% precision → Performance Tracking: track creators and videos with fresh data every 12 hours → No Limits: Unlimited creators. Unlimited videos. Unlimited accounts.

TadasG 💻

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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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Dan Shipper 📧

67,958 views • 4 months ago

Since day one, Wonder Studios has been about one thing - helping creators earn from their craft. Today, we're taking a big step forward with the launch of Wonder TV 🎬 Every month we hand-pick five filmmakers and feature their work on Wonder TV. ☑️ No algorithm ☑️ No follower requirements ☑️ Just the best work and the platform it deserves. We’re also making sure that the work we feature is rewarded fairly. Fans can support creators directly, and we pay creators a share of our App revenue. Meet our first cohort for May and June👇 Kevin Creative | Henry Daubrez 🌸💀 | Contanimation | uisato | Aze Λlter | edmondyang | Mauricio Sierra | Jordan Daniel Chesney Alex Naghavi | YZA Voku Watch now → Want in? Join the App and share your work in Showcase where our team is constantly on the look-out for the best creations. 🙌 🔗

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Wonder Studios

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Today we're excited to introduce Nitrility, the first intellectual property marketplace. Streamers and creators can now use mainstream music in their content and react to movies and shows on stream, all with infrastructure in place to clear DMCA and copyright claims automatically. Artists and rightsholders can secure placements for top movies, TV shows, advertisements, video games, and more—all on their own. All of this is possible because of the advancements we've made with blockchain technology and our wonderful partners. Check out what Nitrility can do and signup for the beta: #Musicians #Music #CreatorEconomy #Creators #Streamer #Web3

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Nitrility

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AGI ALPHA AGENT

144,821 views • 11 months ago

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

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Aaron Levie

91,863 views • 11 months ago

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

53,950 views • 1 year ago

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

Zeb Evans

425,244 views • 6 months ago

Today, we're launching Good Start Labs w/ $3.6M from amazing investors including Inovia Capital & General Catalyst My whole life I've been learning from games Over the past five years, I've dreamt about how AI learn with me. Today we're launching LOL Arena, the first AI benchmark for humor, informed by millions of human votes. We are also launching Diplomacy Arena ranking strategy, betrayal, and prompt impact across models. In the coming years we hope to lead at the intersection of Gen AI & Games and define what it means to do alignment via entertainment. Ensuring everyone can share their voice and help AI become a tool that really is custom built to help bring our dreams to life. If that inspires you, join us! We're hiring. Here's what we're shipping today: 🧵

Today, we're launching Good Start Labs w/ $3.6M from amazing investors including Inovia Capital & General Catalyst My whole life I've been learning from games Over the past five years, I've dreamt about how AI learn with me. Today we're launching LOL Arena, the first AI benchmark for humor, informed by millions of human votes. We are also launching Diplomacy Arena ranking strategy, betrayal, and prompt impact across models. In the coming years we hope to lead at the intersection of Gen AI & Games and define what it means to do alignment via entertainment. Ensuring everyone can share their voice and help AI become a tool that really is custom built to help bring our dreams to life. If that inspires you, join us! We're hiring. Here's what we're shipping today: 🧵

alex duffy

99,600 views • 9 months ago

Today, Profound is excited to announce our $96M Series C at a $1B valuation, led by Lightspeed with participation from Sequoia Capital, Kleiner Perkins, Matt Miller, Saga and . When we started Profound 18 months ago, we had two fundamental beliefs about where marketing is heading: 1. Every company will care deeply about how AI talks about their brand. 2. Every marketer will use AI Agents to do their best work, faster. Those beliefs are becoming reality faster than we imagined. Now, we serve more than 10% of the Fortune 500 and are the number 1 leader on the G2 grid for AEO. To double down on that momentum, we’re taking two big swings: 𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗔𝗴𝗲𝗻𝘁𝘀: AI workers that take marketing teams from concept to execution. 𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆: certifications and cohort-based learning for marketers who want stay at the forefront of AI marketing. Reply with 𝗔𝗚𝗘𝗡𝗧 for free access to one of our most popular agents. No account required and no strings attached.

Dylan Babbs

612,412 views • 5 months ago

The A.I. companies took our content in secret and used it to build businesses worth billions of dollars. Then they said it’s impossible to compensate us for the use of our work. Bill Gross recognized this as one of the great injustices of our time and decided to do something about it. He left his job, started ProRata.ai, figured out how to reverse engineer the outputs of an LLM, and devised a system for sharing revenue. It could finally establish a fair exchange of value between A.I. companies and creators. Bill and I dove deep on payment and attribution in the age of A.I. Listen to our full chat here: Produced by Atlantic Re:think, The Atlantic's creative marketing studio, in collaboration with PwC.

The A.I. companies took our content in secret and used it to build businesses worth billions of dollars. Then they said it’s impossible to compensate us for the use of our work. Bill Gross recognized this as one of the great injustices of our time and decided to do something about it. He left his job, started ProRata.ai, figured out how to reverse engineer the outputs of an LLM, and devised a system for sharing revenue. It could finally establish a fair exchange of value between A.I. companies and creators. Bill and I dove deep on payment and attribution in the age of A.I. Listen to our full chat here: Produced by Atlantic Re:think, The Atlantic's creative marketing studio, in collaboration with PwC.

nxthompson

15,653 views • 8 months ago

🚀 The Official Launch of #RepubliK 🌕 Dear RepubliK Community - The wait is finally over! Welcome to the platform that redefines the landscape of the social and creator’s economy. RepubliK is here to evolve the #SocialFi sphere and traditional social networks through the use of cutting-edge #Web3 and #AI technologies. RepubliK blends the vibrant interactivity of social media with the lucrative potential of content monetisation - lowering the barrier of entry for anyone to receive rewards and amplifying the earning potential of their interactions and content. 🤖 AI-Powered Rewards: We have released a state-of-the-art content and interaction assessment system, powered by AI and Machine Learning, transforming how Content Creators can earn rewards on RepubliK. By identifying quality content based on data points beyond likes and comments, RepubliK rewards Content Creators in proportion to the genuine value they bring to the platform. ⛓️ Release of RPK on Arbitrum: In addition to deploying on Mantle Network and TON 💎, we are integrating $RPK on the Arbitrum Layer-2 Network, reducing costs and increasing accessibility for users in our ecosystem, crafting a cost-efficient and user-friendly Web3 experience for all users. 💞 A New Revenue Stream for Content Creators With Pay2Chat: The Pay2Chat feature allows Content Creators to set an $RPK fee for their Fans to unlock access to chat with them, providing an additional revenue stream for Content Creators to capture value from their top fans. The Pay2Chat function is available to all users on RepubliK, simply set a price in $RPK and start earning today. 🥸 Authenticate Your Presence on RepubliK by Linking Your Instagram Account: Content Creators are now able to link their Instagram Accounts to their RepubliK profile to safeguard against impersonation. Fans can now interact with and support their favourite creators, knowing that they are engaging with the real deal. 📈 Staking for Governance: Coming soon, as a community based platform all major decisions will be subject to a community vote by token holders based on their staked $RPK. 🚀 Sign-up Now: 🫱🏽‍🫲🏻 Supported by Top Investors: OKX Ventures, Fundamental Labs, HTX Ventures, Art of The CMS, Signum Capital, UOB Venture Management, Arcane Group, Mirana Ventures, DeFine Ventures, Enjin, 6MV, FBG Capital, OIG Capital, Sora Ventures, Comma3 Ventures. 💰 Buy RPK Now On: Bybit, KuCoin, MEXC, Gate, HTX, BitMart, BingX, CoinEx Global, Uniswap Labs 🦄 1inch. 💚 To Our Community: The Heart of RepubliK Most importantly, we are proud of you — our vibrant community of creators, users, and supporters. Your engagement, constructive feedback, and enthusiasm since RepubliK moved out of stealth mode merely 6 months ago have shaped us into the platform it is today, and the platform it will be tomorrow. This is only the beginning of our commitment in continuous innovation, community growth, and the expansion of our ecosystem. Together, we will keep pushing the boundaries of the digital world!

RepubliK_GG

64,378 views • 2 years ago

Arena reached a $100M annual revenue run rate just 8 months after launching our evaluation product. We started as a research project at UC Berkeley with a simple mission: measure AI progress through real-world use. As AI shifts from chatbots to agents taking on longer, higher-stakes work, the problem matters more than ever. Today, Arena measures real-world AI utility with a community of tens of millions. With Agent Arena, we’re evaluating long-running agents on complex, real-world tasks - how they use tools, adapt to feedback, recover from errors, and accomplish goals set by humans. We are excited to keep deepening our work in agentic evaluations. Here’s Anastasios Nikolas Angelopoulos on what this milestone means and where we go from here:

Arena reached a $100M annual revenue run rate just 8 months after launching our evaluation product. We started as a research project at UC Berkeley with a simple mission: measure AI progress through real-world use. As AI shifts from chatbots to agents taking on longer, higher-stakes work, the problem matters more than ever. Today, Arena measures real-world AI utility with a community of tens of millions. With Agent Arena, we’re evaluating long-running agents on complex, real-world tasks - how they use tools, adapt to feedback, recover from errors, and accomplish goals set by humans. We are excited to keep deepening our work in agentic evaluations. Here’s Anastasios Nikolas Angelopoulos on what this milestone means and where we go from here:

Arena.ai

209,965 views • 1 month ago

Today we're officially launching thecollective. Billion-dollar companies don’t come from ideas alone. They come from access to people and resources at the right time. We’ve built The Collective to be a space for ambitious young people to supercharge their life’s work. Over the last year, we've met thousands of the most talented young builders - people who are carving their own paths and aren't afraid to do things the unconventional way. In the last 6 months alone: - $15M+ raised by members - $2M+ in revenue driven for members - 5+ companies launched Up until this point we've been 100% in person - we’ve never even had a group chat. Today we're sharing the platform we've built to directly address pain points we keep hearing - hiring, finding co-founders, fundraising, distribution, and more. Members will get access to: - our talent pool + directory - regular member-only events - a private member portal + Slack - warm intro concierge to partners - $500K+ in perks (Stripe, ElevenLabs, etc.) Currently accepting: - Founders (any stage) - Top talent open to startup work - Operators, creators, and freelancers - Select investors Come build with us.

Today we're officially launching thecollective. Billion-dollar companies don’t come from ideas alone. They come from access to people and resources at the right time. We’ve built The Collective to be a space for ambitious young people to supercharge their life’s work. Over the last year, we've met thousands of the most talented young builders - people who are carving their own paths and aren't afraid to do things the unconventional way. In the last 6 months alone: - $15M+ raised by members - $2M+ in revenue driven for members - 5+ companies launched Up until this point we've been 100% in person - we’ve never even had a group chat. Today we're sharing the platform we've built to directly address pain points we keep hearing - hiring, finding co-founders, fundraising, distribution, and more. Members will get access to: - our talent pool + directory - regular member-only events - a private member portal + Slack - warm intro concierge to partners - $500K+ in perks (Stripe, ElevenLabs, etc.) Currently accepting: - Founders (any stage) - Top talent open to startup work - Operators, creators, and freelancers - Select investors Come build with us.

Jonas

125,201 views • 2 months ago

These girls just revealed the AI workflow they use to monetize YouTube while living in Bali Here’s how they explain their workflow in the video: > They find viral kids’ videos on YouTube (in niches where creators can earn anywhere from $1,000 to $5,000 per million views) > They open the video’s transcript and copy it > They paste it into ChatGPT and ask it to generate a prompt for creating a similar video > They take that prompt, paste it into Picsart Flow, choose a video model (they use Sora 2 Pro in the video) and generate the content > They publish the finished video and collect the views They simply took a format that had already proven to work and turned ChatGPT plus an AI video generator into their own content production studio If you want to learn another way to create YouTube videos with AI, check out the article I linked below The author uses a completely different set of tools, so it’s worth a read Save this so you can find it later

These girls just revealed the AI workflow they use to monetize YouTube while living in Bali Here’s how they explain their workflow in the video: > They find viral kids’ videos on YouTube (in niches where creators can earn anywhere from $1,000 to $5,000 per million views) > They open the video’s transcript and copy it > They paste it into ChatGPT and ask it to generate a prompt for creating a similar video > They take that prompt, paste it into Picsart Flow, choose a video model (they use Sora 2 Pro in the video) and generate the content > They publish the finished video and collect the views They simply took a format that had already proven to work and turned ChatGPT plus an AI video generator into their own content production studio If you want to learn another way to create YouTube videos with AI, check out the article I linked below The author uses a completely different set of tools, so it’s worth a read Save this so you can find it later

Bonsai 🌳

33,954 views • 1 month ago

AI coding agents aren't just about autocorrect, but how do you get the best coding experience with an AI-powered coding agent? In our new short course, Build Apps with Windsurf’s AI Coding Agents, you'll learn how to build, debug, and deploy applications with agentic AI-powered integrated development environment (IDE). AI coding agents, like Codeium's @windsurf, don’t just suggest code, they analyze your codebase, track changes, retrieve relevant information, and apply updates across multiple files. They can help debug, refactor, and even modernize legacy frameworks. But to use them effectively, you need the right approach. This new course shows you how to: 🛠️ Use AI agents to build and refine applications, like a Wikipedia analysis app. 🐞 Debug and refactor JavaScript with AI-assisted automation. 🔍 Understand how search and retrieval power AI coding agents. 🤖 Guide an AI agent effectively—prompting, iterating, and correcting when needed. Taught by Anshul Ramachandran (Anshul Ramachandran), this course gives you hands-on coding experience, insights into how these AI systems work under the hood, and best practices to improve your development workflow. 🔗 Enroll for free:

AI coding agents aren't just about autocorrect, but how do you get the best coding experience with an AI-powered coding agent? In our new short course, Build Apps with Windsurf’s AI Coding Agents, you'll learn how to build, debug, and deploy applications with agentic AI-powered integrated development environment (IDE). AI coding agents, like Codeium's @windsurf, don’t just suggest code, they analyze your codebase, track changes, retrieve relevant information, and apply updates across multiple files. They can help debug, refactor, and even modernize legacy frameworks. But to use them effectively, you need the right approach. This new course shows you how to: 🛠️ Use AI agents to build and refine applications, like a Wikipedia analysis app. 🐞 Debug and refactor JavaScript with AI-assisted automation. 🔍 Understand how search and retrieval power AI coding agents. 🤖 Guide an AI agent effectively—prompting, iterating, and correcting when needed. Taught by Anshul Ramachandran (Anshul Ramachandran), this course gives you hands-on coding experience, insights into how these AI systems work under the hood, and best practices to improve your development workflow. 🔗 Enroll for free:

DeepLearning.AI

23,255 views • 1 year ago

The Marketing Engineer is the most important hire a marketing team can make in 2026. Not to run campaigns, but to build the agents that run them. Today we're introducing a new role to the marketing org: 𝗧𝗵𝗲 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 We believe every business on the planet will eventually need one. Their job is to build the Agents, automations, and systems that create a new kind of marketing. Part-builder, part-strategist. They build Agents that monitor media coverage, flag sentiment shifts, and draft journalist outreach before your PR team even knows there's a story. They build Agents that track every competitor move, grade its severity, and rewrite your battle cards and talk tracks before your next sales call. They build Agents that turn every webinar into a brand-voice article, refreshed weekly and queued for your team to review before posting. Our first marketing hire Nick Lafferty has already become Profound's Founding Marketing Engineer, the first person to hold this title at a company fully behind it. Every marketing team on the planet will use AI to do their jobs better. But to build truly impactful systems, you need an owner and an orchestrator. That's the Marketing Engineer.

Dylan Babbs

324,105 views • 3 months ago