Articles by Ash
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Yahoo!
Yahoo!
The only things constant at Yahoo! are Change and David Filo, and so with this latest and perhaps final change the…
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Ash Patel reposted thisUsing AI on-device will never replace using it in the cloud. But it doesn't have to be an either / or choice. We built Workshop to blend these worlds. • Work in the cloud and on your computer. • Use frontier AI models and local AI on your computer. • Multitask when you're at your workstation, and pick up tasks from your phone on the go. There's a lot to solve to make offline and online AI work in the same product. We maintain two of everything: one for cloud and one for on-device. And we manage syncing between them. • Two databases • Two agent runtimes • Two key management systems for secure, built-in connections It's a lot to build, but the result feels magical. Sometimes I switch off my internet while I'm using Workshop with local models just for fun. It doesn't skip a beat. Local models for AI agents were like a science project for a long time. Recently, their quality has improved dramatically, but using them still feels like trying to configure Linux from scratch on your computer. If you know, you know. Now with Workshop, it's easy. It will recommend to you which model to use, click to download, and then you're off to the races. There's been a lot of surface area to build for this product launch. We're excited for feedback and building fast with feedback. Try it out, get some free Gemini AI credits, and please let us know what you love and what you don't. We're eager to make Hybrid AI a daily reality.Ash Patel reposted thisIntroducing Workshop: cloud + on-device AI for building and getting work done. To celebrate, we’re giving away $250k in Gemini credits (details below). The future of AI work isn’t cloud or local. It’s both. With Workshop Cloud, you can use AI agents powered by frontier models or open source models to: → Build internal tools, dashboards, and AI apps → Analyze data and run workflows → Even manage things like Google and Meta Ads With Workshop Desktop, you can do all of that directly on your computer — plus: → Build desktop and mobile apps → Work with local files and large codebases → Delegate ad-hoc tasks throughout your day. And this is the part we’re most excited about: → Workshop lets you run the full AI agent experience on-device. Fully private. Free. Even offline. No API. No internet required. Just your machine. Local models are about to become viable for real, everyday work — but today, they’re still too hard to set up for most people. Workshop makes it simple: →One-click install (Mac, Windows, Linux) →Recommends the right model for your hardware →Download + run everything directly in the app You can start in the cloud for speed, then move to desktop for privacy, performance, or control — and publish from either. We’ve also built in everything you need to go from idea → production: → Connectors to your data (databases, warehouses, Google Drive, etc.) → Built-in AI for your apps → GitHub integration → Private deployments → ... and more We built Workshop to meet that moment. ----- Launch offer: To claim up to $250 in Gemini credits for your AI Apps: 👉 Follow us 👉 Repost this post 👉 Comment “Workshop” BONUS: The first 100 users to claim their credits will get $500 Gemini credits! We’ll send you the details via DM.
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Ash Patel shared thisTry this when using Claude Code, when it's finished planning and wants to start implementing, select 4 and 'Read this plan file using the AskUserQuestionTool interview me in detail about literally anything regarding implementation, UI & UX, technical, architecture , concerns, tradeoffs etc. Once done save the full plan to docs' This will greatly improve your outcomes and take care of most of your edge cases. Quote from portfolio company CTO "The plan review prompt is magical. Really closes out any gaps."
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Ash Patel shared thisAI agents are only as good as the context they are given. Until now, the richest source of context—our spoken conversations and meetings—has been invisible to our AI tools. This disconnect forces founders and operators to constantly "bridge the gap" manually between what was said and what needs to be done. Quill changes this dynamic today with the launch of Quilliam. We invested in Quill because they solve this fundamental breakage in the agentic workflow. Quilliam listens to your conversations, secures that data locally, and then uses that context to drive your other AI agents. It turns the "lost" data of meetings into immediate action for your coding and writing tools. This is the kind of systems-building that transforms AI from a novelty into a true workflow engine. Congratulations to Michael, and the growing Quill team.Ash Patel shared thisWe’re excited to introduce you to Quilliam - Your Chief of AI Staff! Most AI note-takers stop at transcription. They record what was said, organize it into bullet points, and call it a day. Quilliam is not just a note taker, it does the work. It’s an agentic assistant that lives inside Quill and has the context it needs to be successful. Ask it to draft follow-up emails, create Linear tickets from your standup, pull insights from your last quarter of customer calls - all through natural language. With Quill, you get an intelligent agent without the privacy trade-offs that come with cloud-based tools. This isn’t about replacing your workflow. It’s about finishing the tasks your meetings create—without adding three more tools to your stack. Download Quill → https://is.gd/zxo0Wz #ProductLaunch #AIAssistant #MeetingProductivity #QuillMeetings #LocalFirst
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Ash Patel shared thisThe world is awash is data, where the majority of it gets discarded. Archetype AI has built a Foundation Model for the Real World, with the goal to make data from the real world easily actionable. Excited to have been part of the round. Congratulations to the the team.Ash Patel shared thisI’m excited to share a major milestone for Archetype AI: our $35M Series A round. AI has transformed how we consume and work with information, but it has not changed how we perceive or interact with the world. Today, most systems still live behind glass. On screens. In dashboards. In digital spaces. Yet our biggest challenges aren’t digital. They are physical. In factories and cities. Energy grids and hospitals. Vehicles and supply chains. In the chaotic, continuous, unpredictable flow of the real world. This is where intelligence matters most. And this is where AI has never been able to go. Until now. With the launch of the Archetype platform, we’re evolving Newton from a powerful foundation model into an intelligence layer for the physical world — one that perceives, understands, and reasons across real-world systems, enabling hundreds of intelligent applications across industries and environments. Using the platform, teams can now build and deploy Physical Agents that sense, interpret, and enable action directly in physical environments. Organizations including NTT DATA, Kajima, and the City of Bellevue, Washington are already using Physical AI to monitor critical industrial processes, ensure safety compliance, and optimize operations with unprecedented fidelity. We’re looking forward to opening the Archetype platform to more customers — with a long-term vision of bringing Newton to every physical asset in the world. When intelligence permeates the physical world, the world itself becomes interactive and intelligent. We’re deeply grateful to our partners and investors who believe in this mission, and to Chris Metinko for covering our story in Axios (https://lnkd.in/g7PHwfB3). This funding round, led by IAG Capital Partners and Hitachi Ventures, with participation from Bezos Expeditions, Venrock, Amazon Industrial Innovation Fund, Samsung Electronics, E12 Ventures, Systemiq Capital, HLV Ventures, and others, enables us to scale physical intelligence globally and continue advancing Newton as the premier foundation model for the real world. AI is stepping into the physical world 🌍 and this is just the beginning. To learn more about what’s coming next, see the link in the comments.
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Ash Patel shared thisWe backed Scribe when it was an “interesting idea.” Now it’s $75M Series C, $1.3B valuation “inevitable.” Be first to hear about their billion dollar idea: scribe.com/optimize Nice work, Jennifer Smith & Aaron PodolnyAsh Patel shared thisWe just raised our $75M Series C led by StepStone Group, making Scribe a $1.3B unicorn. But that’s not the part I’m most proud of. The funding isn’t the story — what we DO with it is. I set out to change how the world actually works. I started Scribe with one belief: Everyone deserves to do their best work. That belief sparked an entire movement. Today, Scribe helps 5 million people at 600,000 companies ensure work gets done right. But we’re just getting started — I spoke with Fortune about transforming how the world works with AI and the fundraise that powers Scribe to do it even faster. Every leader wants to make work better (and often has AI mandates to do so). But even AI can’t optimize what it can’t see. That all changes in 2 days. We’re announcing something big. Something that will completely reshape the foundation of all enterprise AI strategies. Be the first to find out and join me Wednesday for the reveal. Save your spot 👉 https://lnkd.in/gfGTrsyZ Let’s build the future of work together 🚀
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Ash Patel shared thisThrilled to announce our participation in Neura Health Series A round. This company is making specialized neurological care more accessible through an innovative, evidence-based platform. We're excited to support Elizabeth Burstein and the team in their mission to improve care for conditions like migraine and stroke. A special shout-out to American Heart Association Ventures for leading the round.Ash Patel shared thisFor the 145 million Americans who suffer from a neurological condition. For the millions enduring the invisible agony of migraine, often dismissed or misunderstood. For the millions living with epilepsy, managing seizures that disrupt daily life. For the millions discharged from the ER after a concussion, with no follow-up and no roadmap. For the millions living with dementia, and the caregivers who shoulder their pain in silence. For the millions struggling with chronic pain every single day, searching for answers. This is for you. Neura Health was built for you. I know this pain firsthand. During the pandemic, I was sidelined by a trapped nerve that spiraled into a two-and-a-half year odyssey. I saw over 40 specialists. I had no quarterback guiding me, no system connecting the dots. I endured 10 failed injections, spent thousands of dollars, and eventually faced a six-month wait just to see a neurologist. When we or our loved ones are forced to navigate the healthcare system like this, we are jolted awake by how broken it is. Why can’t healthcare be as seamless as ordering an Uber or an Amazon delivery? Why can’t we harness the power of AI and connected data so that—with the tap of a button—we can access the right specialist, the right care, at the right time? That is why Neura exists. To flip the script on what healthcare should be. To ensure no one has to wander in the dark alone. Today, I’m humbled to share that Neura Health has raised our Series A and we are honored to partner with American Heart Association Ventures to fuel this mission. Neura’s $11.4M financing round is the first investment out of the new Go Red For Women Venture Fund, focused on conditions that disproportionately impact women. We are thrilled to partner with Lisa Suennen and Tracy Warren. We’re also excited to welcome our new investors, Esplanade Ventures and E12 Ventures, to the Neura Health family. We’re equally grateful to our existing investors — Norwest, Koch Disruptive Technologies, Pear VC, and Correlation Ventures — for their continued belief in our mission and unwavering support. Our journey is only beginning, but our vision is clear: to bring compassionate, on-demand, specialist care to every person and family living with the heavy burden of neurological conditions. This is for you. And we won’t stop until the system works for everyone. Thank you Gabriel Perna from Modern Healthcare for sharing our story. https://lnkd.in/eWR6tdqz. #SeriesA #HealthcareInnovation #Neurology #DigitalHealth #AIForGood
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Ash Patel shared thisCongratulations to the @Docyt team on the launch of their High Precision Accounting Intelligence (HpAI). This technology is built to address the tedious, error-prone tasks in accounting. By training its AI on over 128 billion data points from more than 1,500 businesses, HpAI has been developed to be a powerful solution for accounting professionals. The impact is clear, as it is already reducing revenue accounting errors by 95% and saving teams over 40 hours of work each month. Well done to @Sid Saxena, @Sugam Pandey, and the entire @Docyt team on this significant milestone. This is a strong example of specialized technology driving measurable results. https://lnkd.in/gBc6nYEb #AI #AccountingInnovation #Docyt #AIAutomation #StartupInnovationDocyt HPAI for AI Accounting Automation and WorkflowsDocyt HPAI for AI Accounting Automation and Workflows
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Ash Patel shared this🚨 Big news from the frontlines of healthcare innovation: Ellipsis Health just announced a $45M funding round led by Salesforce Ventures, Khosla Ventures, and CVS Health Ventures—and it’s making headlines in the Wall Street Journal. We’ve been proud backers of Ellipsis Health at E12 Ventures because they’ve taken a bold, contrarian approach: instead of chasing efficiency at the cost of patient experience, they’ve built an emotionally intelligent AI that brings humanity back to healthcare. Meet Sage — the AI Care Manager trained on millions of real clinical conversations and powered by Ellipsis’ proprietary Empathy Engine. It delivers 24/7 support to patients with complex needs — the same patients who typically slip through the cracks because of capacity constraints and staffing shortages. This is a huge leap forward. Instead of forcing trade-offs between quality and scale, Sage shows we can have both. It’s not just automating workflows — it’s reimagining what scalable, empathetic care looks like. Strategic investors across the ecosystem — payers (CVS), platforms (Salesforce), and deep tech VCs (Khosla) — all recognize the same thing: emotionally intelligent AI is the next frontier in healthcare. Congrats to the Ellipsis team — thrilled to be on this journey with you. #AI #HealthcareInnovation #EllipsisHealth #EmpathyEngine #VentureCapital #DigitalHealth #E12Ventures https://lnkd.in/giVckKyqEllipsis Health Raises $45 Million, Seeks to Fill Healthcare Gaps With AIEllipsis Health Raises $45 Million, Seeks to Fill Healthcare Gaps With AI
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Ash Patel shared this🎉 Congrats @Scribe on 4M users! If you're still spending hours on documentation, you're missing out. 4 million users have figured out there's a better way. Scribe turns screen recordings into instant step-by-step guides. What used to take 10 hours now takes minutes. Join the 4M who've already upgraded their workflow: https://scribe.how/4M #productivity #documentationAsh Patel shared this4 million users and 4 million reasons to say thank YOU! Five years ago, Scribe set out to solve a simple but frustrating problem: Why is it so hard to share how we do things at work? Scribe exists because you believed that sharing knowledge should be effortless! The first time that Scribe CEO Jennifer Smith showed someone how Scribe worked, they gasped. 😯 Then they asked: “Where was this last week when I spent 10 hours doing documentation?!” You — our users — saw the future of work. 🔮 You shared Scribe with your teammates, your communities, and your companies. Now, you’re documenting smarter, onboarding faster, and making knowledge flow— from high-growth startups to almost the entire Fortune 500. You didn’t just adopt Scribe, You built it with us. Here’s to everything we’ve created together— and everything that’s still to come. 🎉 Read Jennifer's full story here: https://scribe.how/4M
Ash Patel commented on a post
2d
Congrats Boyd! What a run. Excited to hear what's next
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Ash Patel liked thisAsh Patel liked thisToday is my last day at Microsoft after nearly 17 years, and I've been trying to figure out how to sum up a journey that still feels hard to believe. Microsoft is the only company my kids have ever known me to work for. It's so ingrained in them that when one was asked as a 6-year old to name the three branches of government, he confidently put Microsoft first. But it wasn't obvious at the start that I would be here this long. In 2009, I accepted a job at Microsoft. My friends all asked me "Why on earth would you go to Microsoft?" Microsoft was known for boxed software, not online services and had a negative reputation in the Bay Area. Bing shipped faster than any other team and that was only once every six months. But as I joined it quickly became clear that the caliber of the people was immense. I found people with more intellectual horsepower, more genuine ambition, and having been a part of it, more willingness to reinvent themselves than anywhere I'd seen. In 2011, Qi L. asked me to move to Seattle. That decision reshaped my life in every sense making Seattle the only home my kids remember. Watching Bing grow into a profitable, competitive business was deeply satisfying, and helped demonstrate to the rest of the company how to operate in an online world. In 2018, Satya asked me to lead the Azure AI team. That set in motion the most exciting chapter of my career: watching large language models emerge, and having the privilege of bringing them to the world through the Microsoft Foundry and the Azure OpenAI Service. Riding that wave over the past three years has been extraordinary, and something I'll never stop being grateful for. Through all of it, I learned from outstanding leaders. My managers David Ku, Scott Guthrie, and Jay Parikh, and leaders like Amy Hood and Satya, each shaped how I think about building products, building culture, and building people up. I had a front-row seat to the transformation of Microsoft, and got to learn and grow right along with it. But if I'm being honest, much as I love the technology and celebrate the product launches, the best part was always the people I got to work alongside. The heart, grit, intensity, and passion of everyone I've been fortunate enough to work with is what I'll carry with me. I got far more credit than I deserved. The real work was theirs. To every teammate across these 17 years: thank you. This was the most formative chapter of my career, and you're the reason why. I'll always be long MSFT, both literally and in spirit. More to come next week.
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Ash Patel liked thisUsing AI on-device will never replace using it in the cloud. But it doesn't have to be an either / or choice. We built Workshop to blend these worlds. • Work in the cloud and on your computer. • Use frontier AI models and local AI on your computer. • Multitask when you're at your workstation, and pick up tasks from your phone on the go. There's a lot to solve to make offline and online AI work in the same product. We maintain two of everything: one for cloud and one for on-device. And we manage syncing between them. • Two databases • Two agent runtimes • Two key management systems for secure, built-in connections It's a lot to build, but the result feels magical. Sometimes I switch off my internet while I'm using Workshop with local models just for fun. It doesn't skip a beat. Local models for AI agents were like a science project for a long time. Recently, their quality has improved dramatically, but using them still feels like trying to configure Linux from scratch on your computer. If you know, you know. Now with Workshop, it's easy. It will recommend to you which model to use, click to download, and then you're off to the races. There's been a lot of surface area to build for this product launch. We're excited for feedback and building fast with feedback. Try it out, get some free Gemini AI credits, and please let us know what you love and what you don't. We're eager to make Hybrid AI a daily reality.Ash Patel liked thisIntroducing Workshop: cloud + on-device AI for building and getting work done. To celebrate, we’re giving away $250k in Gemini credits (details below). The future of AI work isn’t cloud or local. It’s both. With Workshop Cloud, you can use AI agents powered by frontier models or open source models to: → Build internal tools, dashboards, and AI apps → Analyze data and run workflows → Even manage things like Google and Meta Ads With Workshop Desktop, you can do all of that directly on your computer — plus: → Build desktop and mobile apps → Work with local files and large codebases → Delegate ad-hoc tasks throughout your day. And this is the part we’re most excited about: → Workshop lets you run the full AI agent experience on-device. Fully private. Free. Even offline. No API. No internet required. Just your machine. Local models are about to become viable for real, everyday work — but today, they’re still too hard to set up for most people. Workshop makes it simple: →One-click install (Mac, Windows, Linux) →Recommends the right model for your hardware →Download + run everything directly in the app You can start in the cloud for speed, then move to desktop for privacy, performance, or control — and publish from either. We’ve also built in everything you need to go from idea → production: → Connectors to your data (databases, warehouses, Google Drive, etc.) → Built-in AI for your apps → GitHub integration → Private deployments → ... and more We built Workshop to meet that moment. ----- Launch offer: To claim up to $250 in Gemini credits for your AI Apps: 👉 Follow us 👉 Repost this post 👉 Comment “Workshop” BONUS: The first 100 users to claim their credits will get $500 Gemini credits! We’ll send you the details via DM.
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Ash Patel liked thisAsh Patel liked thisIntroducing Workshop: cloud + on-device AI for building and getting work done. To celebrate, we’re giving away $250k in Gemini credits (details below). The future of AI work isn’t cloud or local. It’s both. With Workshop Cloud, you can use AI agents powered by frontier models or open source models to: → Build internal tools, dashboards, and AI apps → Analyze data and run workflows → Even manage things like Google and Meta Ads With Workshop Desktop, you can do all of that directly on your computer — plus: → Build desktop and mobile apps → Work with local files and large codebases → Delegate ad-hoc tasks throughout your day. And this is the part we’re most excited about: → Workshop lets you run the full AI agent experience on-device. Fully private. Free. Even offline. No API. No internet required. Just your machine. Local models are about to become viable for real, everyday work — but today, they’re still too hard to set up for most people. Workshop makes it simple: →One-click install (Mac, Windows, Linux) →Recommends the right model for your hardware →Download + run everything directly in the app You can start in the cloud for speed, then move to desktop for privacy, performance, or control — and publish from either. We’ve also built in everything you need to go from idea → production: → Connectors to your data (databases, warehouses, Google Drive, etc.) → Built-in AI for your apps → GitHub integration → Private deployments → ... and more We built Workshop to meet that moment. ----- Launch offer: To claim up to $250 in Gemini credits for your AI Apps: 👉 Follow us 👉 Repost this post 👉 Comment “Workshop” BONUS: The first 100 users to claim their credits will get $500 Gemini credits! We’ll send you the details via DM.
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Ash Patel liked thisAsh Patel liked thisWe’ve been obsessing over a problem, and today we finally have an answer. Customers love the data in Optimize. But each one wants to answer a different question. Today, we're launching Agents for Scribe Optimize. Ask them anything about how your company runs. They answer, they build, and they act — all based on real workflow data. Available 24/7. When Agents can see how a team actually works, the questions they’re able to answer can be pretty surprising: "We need to find where AI will actually make a dent." "We're spending on tools nobody touches. Show us where." "Our CEO won’t fund our automation project without a business case." We built Agents to give you the answers, but also to do the hardest work for you, and do something with the information you learn. Build the business case. Find and rank every automation opportunity. And even generate process maps from a single question, based on how work actually gets done. Learn more at https://lnkd.in/ghvbbs3t
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Ash Patel liked thisAsh Patel liked thisGoogle just quietly released an AI tool for every layer of how humans create things. Research. Design. Code. Video. Agents. Models. All of it. At once. Connected. Intentional. Ecosystem-scale. The tools nobody is talking about enough: Jules - an asynchronous coding assistant that works across entire repositories, not just individual files. It understands the broader structure of a project and helps manage complex codebases. Google A2A - a multi-agent communication protocol designed to let AI agents collaborate across different frameworks. This is infrastructure for the next generation of agent systems. Stitch - converts prompts directly into complex UI layouts, turning ideas into interface designs within minutes. A major shift for how design workflows could work. FileSearch API - a configurable RAG pipeline accessible through a single API call. What previously required weeks or months of engineering can now be integrated almost instantly. Flow - a cinematic storytelling platform that lets creators generate scenes, narratives, and video content with AI-driven workflows. Gemini 3 Pro - Google’s most advanced reasoning model so far, designed for deeper analysis, complex tasks, and next-generation AI systems. This isn't a product launch. It’s a full-stack AI ecosystem. From foundational models → to research tools → to design → to development → to autonomous agents → to video creation. Everything sits on top of the same AI foundation. That means ideas can move from research → design → code → content faster than ever before. The real strategy here isn’t individual tools. It’s ownership of the entire creation pipeline. And when one company controls every layer of that pipeline, the innovation speed compounds. The AI race isn’t just about better models anymore. It’s about who builds the ecosystem developers, creators, and companies build on.
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Ash Patel liked thisAsh Patel liked thisWell, everyone is finally talking about context for AI. And it’s about time. Because now, anyone with AI ambitions should be asking: 1. How does my org capture context? 2. Am I confident our AI can UNDERSTAND how work actually gets done here? (Do our people even know?) If you answer “not sure,” spoiler alert: the limitation will never be the model or the tools you bought. It’ll be the CONTEXT you’re feeding it: the real workflows, handoffs, exceptions, and decisions that drive outcomes. We built the Context Maturity Curve assessment so you can see how your org stacks up. A few things we’ve learned building it: → The orgs seeing the most leverage aren’t the ones with the best AI stack. They’re the ones with the most observable workflows. → Most orgs aren’t starting from zero. They’re stuck between documenting the ideal-state “happy path” and the real path — edge cases, dependencies, approvals. That gap is where AI breaks down. → The orgs pulling ahead treat context as something continuously refreshed from execution + outcomes — not something you capture once and forget. Curious to benchmark where your org stands — and what it would take to move up? We built the assessment to measure exactly this. https://lnkd.in/ggm955Nr
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Patents
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Centralized feed manager
Issued US 8,392,536
A method delivering content from a plurality of sources to a plurality of end servers through a central manager is provided. The method includes receiving the content from the plurality of sources at the central manager, formatting the content to a form usable by the plurality of end servers, creating a transaction generic to the plurality of end servers where the transaction includes a reference to a set of instructions for storing the formatted content, sending the transaction to an end…
A method delivering content from a plurality of sources to a plurality of end servers through a central manager is provided. The method includes receiving the content from the plurality of sources at the central manager, formatting the content to a form usable by the plurality of end servers, creating a transaction generic to the plurality of end servers where the transaction includes a reference to a set of instructions for storing the formatted content, sending the transaction to an end server in the plurality of end servers, and calling the reference to execute the set of instructions where the set of instructions store the formatted content into the memory of the end server.
Other inventors -
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System and method for personalized information filtering and alert generation
Issued US 6,381,594
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C
Native or bilingual proficiency
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