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DTSTART;TZID=America/Chicago:20260819T173000
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UID:10000716-1787160600-1787171400@austin-ai.org
SUMMARY:Data Centers:  The Good\, The Bad and The Ugly
DESCRIPTION:Join the Austin AI Alliance and the Austin Forum on Technology and Society for a town hall on the realities\, risks\, and rewards of AI infrastructure. This event is in person only. \nEvery time you query an AI model\, stream a video\, or use a cloud app\, you’re relying on a massive\, invisible engine: the modern data center. As our demand for computing power grows\, so does the footprint\, the grid strain\, and the resources needed to keep it all running. Data centers are essential to the AI revolution and they’re driving real progress for business\, healthcare\, education\, and daily life. But they also raise real questions about our energy grid\, our water supply\, and our communities. \nThe Austin Forum’s July 7 presentation covered the technology\, costs\, and impacts of data centers\, and the questions kept coming long after the panel ran out of time. The conversation kept going on LinkedIn too\, with professionals from Austin and beyond weighing in. So on August 19\, we’re back for round two\, and this time\, it’s your turn to lead the discussion. \nThis isn’t another panel talking at you. It’s an extended\, moderated town hall built for community members\, tech leaders\, policymakers\, and environmental advocates to talk with each other. Whether you’ve got a concern\, a success story\, a hard question\, or an idea worth testing\, this is your platform. We’ll dig into the tough stuff and celebrate what’s working\, all in a format built for real conversation\, not just presentation. \n\nWe’ll confront the hard truths first. A moderator will lead grid analysts\, environmental policy experts\, and local leaders through the real risks that dense data center development poses to the ERCOT grid\, local water tables\, neighborhood livability\, and utility rates. No spin\, just the numbers and the tradeoffs. \n Then we’ll look at what’s working. The same group of experts will walk through the architectures proving that data centers don’t have to be a drain on their host communities: closed-loop thermal cooling\, on-site power generation\, and designs quiet and dark enough that neighbors barely notice they’re there. These low-footprint facilities aren’t just less harmful\, they can actually help stabilize the grid and ease pressure on ratepayers. \n\n\nThe goal is practical clarity. Attendees will leave with a real understanding of the tradeoffs at play and the tools to guide better policy\, smarter planning\, and informed advocacy across Central Texas and the state\, positioning the region as a leader in responsible AI infrastructure rather than a cautionary tale. \n\n\n \nCome ready to share on four fronts: \n\nSuccess stories – How is AI\, powered by data centers\, already making things better in your work or your life?\nReal concerns – What worries you about grid reliability\, water use\, land development\, or the bigger picture?\nBurning questions – What do you want straight answers on\, from the numbers to the timelines to the tech itself?\nConstructive ideas – How can Austin and the broader tech community balance the need for computing power with real responsibility to our resources?\n\nWe’ll also draw the line between the data centers doing this right and the ones doing it wrong. Some facilities are straining the ERCOT grid\, draining local water tables\, and driving up utility rates for everyone nearby. Others are proving there’s a better way\, with closed-loop cooling\, on-site power generation\, and designs that barely make a sound or cast a light. This event will help you tell the difference\, and understand why it matters for Austin’s future as a leader in responsible AI growth. \nYou’ll leave with a clearer picture of where things stand\, some real resources to take with you\, and new ideas to bring back to your own team or community. \nStick around after. The conversation continues right after the event at Remedy (3rd & Nueces) for networking and a complimentary drink\, courtesy of Austin Forum Annual Partners\, Champions\, and Friends. \n \nPlease register at https://www.eventbrite.com/e/the-data-center-dialogue-a-community-town-hall-on-ai-infrastructure-tickets-1995107588504.  
URL:https://austin-ai.org/event/data-centers-the-good-the-bad-and-the-ugly/
LOCATION:The Center for Government and Civic Service\, ACC Rio Grande: Building 3000\, 1218 West Avenue\, Austin\, TX\, 78701\, United States
CATEGORIES:AAIA
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260821
DTEND;VALUE=DATE:20260823
DTSTAMP:20260812T170832Z
CREATED:20260812T165845Z
LAST-MODIFIED:20260812T170832Z
UID:10000707-1787270400-1787443199@austin-ai.org
SUMMARY:AI Profit Con 2026
DESCRIPTION:You’re launching your AI business in August… or you’re watching someone else launch theirs. Join us in Austin for AI Profit Con 2026! \nAI Profit Con is a 2 day business transformation summit in Austin\, TX actionable frameworks\, proven playbooks\, and live implementation for people ready to move NOW. \nWe are living through the most significant economic disruption since the Industrial Revolution.\nAI is not coming. It is already here\, replacing jobs\, reshaping industries\, and rewarding those who act with ruthless precision while punishing those who wait. \nAI Profit Con 2026 is where the most ambitious business owners\, displaced professionals\, and forward thinking entrepreneurs gather for two full days to do one thing: \nLEARN HOW TO MAKE AI PRINT MONEY. FOR THEMSELVES AND FOR THEIR CLIENTS. \nThis is not a tech conference. This is not a theoretical seminar about what AI might do someday. This is a business transformation summit with actionable frameworks\, proven playbooks\, and live implementation\, built for people who are ready to move NOW.
URL:https://austin-ai.org/event/ai-profit-con-2026/
LOCATION:Hyatt Regency Austin\, 208 Barton Springs Rd.\, Austin\, 78704\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260826T180000
DTEND;TZID=America/Chicago:20260826T200000
DTSTAMP:20260812T165417Z
CREATED:20260812T165417Z
LAST-MODIFIED:20260812T165417Z
UID:10000719-1787767200-1787774400@austin-ai.org
SUMMARY:Femme Founder Bootcamp S3 - Info Session! (ATX)
DESCRIPTION:Join us for an IRL preview of Season 3 of the Femme Founder Bootcamp\, a virtual cohort-based program designed to equip femme-identifying entrepreneurs with the tools\, insights\, and network to thrive in Web3\, AI\, and emerging tech. \n​This info session\, co-hosted by ATX Women in Web3 and Austin Women in Technology\, will highlight what to expect from both the Bootcamp\, including new content\, forum-based workshops\, and top-notch instructors (as always!). \n​This info session is for you if you’re: \n​A first-time founder just getting started and looking for structure\, skills\, and a community that gets it \n​A scaling founder seeking a strategic reboot\, expert network\, and accountability \n​Curious about emerging tech and want to understand how AI\, Web3\, and fintech apply to your business \n​Looking to get involved as a mentor\, partner\, or sponsor \n​What to expect: \n​Hear from program organizers Megan Murray and Kristin Bonds\, learn what’s new in Season 3\, meet past graduates\, and get all your questions answered before the cohort kicks off September 29. \n​About the Femme Founder Bootcamp: \n​Now in its third season\, the Femme Founder Bootcamp is a 6-week virtual program meeting Tuesdays & Thursdays\, 1:00–2:30 PM CT\, kicking off September 29. Founders gain access to 15+ hours of expert-led curriculum — covering founder readiness\, finance\, operations\, Web3\, AI\, branding\, fundraising\, and more — plus 1:1 mentorship\, a private community forum\, and the opportunity to present at the IRL Femme Founder Showcase in Austin on November 4. \n​Past graduates have gone on to be accepted into DivInc\, Google\, UT Texas Venture Labs (TVL) Accelerator\, and Harvard Business School Foundry Bootcamp. \n​🎓 Early bird registration is open NOW! — New Founder: $119 (Regular Price $159) | Returning Founder: $79 ($129)
URL:https://austin-ai.org/event/femme-founder-bootcamp-s3-info-session-atx/
LOCATION:SKG: 2010 S Lamar Blvd Ste 125\, Austin\, TX 78704\, USA\, 2010 S Lamar Blvd Ste 125\,\, Austin\, TX\, 78704\, United States
CATEGORIES:AAIA
ATTACH;FMTTYPE=image/png:https://austin-ai.org/wp-content/uploads/2026/08/FFB-S3-Info-Sessions-all-city.png
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260901T181500
DTEND;TZID=America/Chicago:20260901T194500
DTSTAMP:20260812T165036Z
CREATED:20260812T165036Z
LAST-MODIFIED:20260812T165036Z
UID:10000720-1788286500-1788291900@austin-ai.org
SUMMARY:Silicon\, Systems\, and Supercomputers: The Past\, Present\, and Future of Compute Infrastructure
DESCRIPTION:This event will be held in person only. Free admission – registration required. (www. austinforum.org/events) \nEvery breakthrough in artificial intelligence\, climate modeling\, molecular simulation\, energy production\, pharmaceutical design\, and more is powered by massive computational infrastructure. From the micro-architectures carved into silicon chips to the sprawling supercomputers and interconnected cloud clusters that span entire data centers\, compute capacity is the foundational engine of modern scientific discovery\, engineering innovation\, and business operations. \nOn September 1\, join the Austin Forum for a fast-paced\, comprehensive exploration of the past\, present\, and possible futures of compute infrastructure. Our speakers will trace the trajectory of hardware evolution—from legacy chip paradigms to today’s exascale hyperscale clusters—and share a comprehensive overview of the current\, state of the art computing infrastructure. The presentation will conclude with thoughts on the future of computing—from architectures to new applications\, drivers\, and impacts. Spanning technology\, real-world applications\, power/energy constraints\, and global economics; this presentation will give you a complete picture of the physical systems driving our digital world. \nKey Discussion Highlights\n*The Evolution of Silicon: How Moore’s Law drove decades of microprocessor innovation\, where chip scaling stands today\, and why specialized accelerators (GPUs\, TPUs\, and domain-specific ASICs) have taken center stage.\n*Systems\, Clusters\, and Clouds: How individual chips are integrated into boards\, servers\, racks\, and massive clusters that power modern high-performance computing (HPC) supercomputers and public cloud platforms.\n*Future Architectures on the Horizon: What comes next when traditional silicon hits physical limits? An exploration of alternative paradigms\, including 3D stacked chiplets\, optical/photonic computing\, neuromorphic processing\, and quantum integration.\n*Workloads Shaping the Hardware: How applications—from frontier AI training and drug discovery to real-time defense and financial modeling—are dictating future hardware design requirements.\n*Power\, Cooling\, and Economics: Confronting the physical reality of building gigawatt-scale infrastructure—including thermal management\, energy grid demands\, capital expenditure dynamics\, and global supply chain considerations. \nEvent Agenda & Post-Event Networking\n*Presentation: A high-octane\, multi-perspective overview of silicon\, systems\, and supercomputer architectures.\n*Audience Q&A: Bring your technical and economic questions for an interactive session with our expert presenters.\n*Continued Conversation at Remedy: When the Q&A wraps\, the evening is far from over! Head down the street with us to Remedy\, located at 3rd & Nueces\, for post-event networking. \nConnect with fellow attendees\, swap insights on the future of compute\, and enjoy a complimentary drink courtesy of our generous Austin Forum Annual Partners\, Champions\, and Friends.
URL:https://austin-ai.org/event/silicon-systems-and-supercomputers-the-past-present-and-future-of-compute-infrastructure/
LOCATION:The Center for Government and Civic Service\, ACC Rio Grande: Building 3000\, 1218 West Avenue\, Austin\, TX\, 78701\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260916T173000
DTEND;TZID=America/Chicago:20260916T203000
DTSTAMP:20260812T172940Z
CREATED:20260702T213128Z
LAST-MODIFIED:20260812T172940Z
UID:10000712-1789579800-1789590600@austin-ai.org
SUMMARY:Human Orchestration of Tools and Agents - Beyond the Prototype II — Self-Recursive Agents
DESCRIPTION:Many organizations are stuck in “AI purgatory”; building impressive prototypes that fail to scale\, break quietly in production\, or degrade in quality over time. To achieve true ROI\, AI systems must move beyond simple task execution and become self-aware\, self-healing\, and self-improving. \nEveryone has a demo. AI demos work\, but production breaks. The gap between “works in a demo” and “runs reliably at scale” is where organizations get stuck. This session teaches you a framework for closing this gap.  \nThis session is for builders who have hit the wall with prototype agents that degrade or stagnate. We are going beyond the prototype to tear down a self-evolving agent architecture. Mario will show you the four capabilities every production AI systems needs. \nWhat You’ll Be Able to Learn\n\nShared Memory – How agents learn from each other\nTrust Scoring – How to know which outputs to trust\nPrompt Evolution – How systems improve themselves weekly\nSafe Governance – How to deploy changes without breaking production\n\n What Makes This Session Different\n\nVery few have a system that improves itself in production\nBased on real architecture\, real data\, and real lessons\nWe are addressing the hard gaps: FadeMem decay\, pruning governance\, and the MinionS protocol (achieving 97.9% performance at 18% cost).\nThis is a live\, production-grade system teardown. Mario will show you the exact infrastructure (n8n\, Supabase\, Qdrant\, OpenRouter) that runs MEF Solutions.\n\nWho Is It For\n\nAI engineers and builders who are tired of brittle prototypes and want to deploy resilient\, self-improving systems.\nTechnical founders trying to bridge the gap between AI experimentation and AI operations.\nRevOps and GTM leaders who need autonomous architectures to drive actual revenue\, not just engagement.\nAnyone who is done watching demos that don’t survive contact with real users\, and wants their AI still working next quarter\, not just this one.\nBefore You Arrive \n\nReview your current agent architecture and identify where the feedback loops are broken.\nCalculate the token cost and failure rate of your most complex autonomous workflow.\nBring your skepticism. We’re going to look at what actually works in 2026.\nInstructor Bio\nMario Facussé is the Managing Director of MEF Solutions\, where he builds AI-powered revenue systems for growth-stage companies. He designs and operates autonomous agent architectures that self-improve in production; not prototypes\, not demos\, but systems that run his own company. His work draws from peer-reviewed research in self-evolving agents\, collaborative reinforcement learning\, and autonomous optimization\, implemented on practical infrastructure. He’s spoken at leading AI conferences and events and advises companies on strategy\, GTM\, operations\, revenue\, and bridging the gap between AI experimentation and AIoperations. \n 
URL:https://austin-ai.org/event/hota-beyond-the-prototype-2/
LOCATION:The Center for Government and Civic Service\, ACC Rio Grande: Building 3000\, 1218 West Avenue\, Austin\, TX\, 78701\, United States
CATEGORIES:AAIA,HOTA
ATTACH;FMTTYPE=image/png:https://austin-ai.org/wp-content/uploads/2026/07/event_graphic_v2-scaled.png
ORGANIZER;CN="Austin AI Alliance":MAILTO:info@austin-ai.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20261021T173000
DTEND;TZID=America/Chicago:20261021T203000
DTSTAMP:20260709T151959Z
CREATED:20260702T225540Z
LAST-MODIFIED:20260709T151959Z
UID:10000710-1792603800-1792614600@austin-ai.org
SUMMARY:Human Orchestration of Tools and Agents - Agentic Research Systems
DESCRIPTION:Most AI tools answer one question at a time. In this 3-hour workshop you will design a multi-step research system — a reusable workflow that helps you find\, evaluate\, and apply information across the real-world projects you are already working on. By the end of the session you will have a working first draft of your own.\nWhat You’ll Learn\n\nThe difference between asking AI a question and designing a research system — and why the second one compounds the more you use it\nHow AI inherits the biases of the web it was trained on — and what to do about it in your own workflow\nA plain-English framework for judging credibility — recency\, authority\, evidence\, relevance\nThe vocabulary you actually need: just-in-time help\, multi-step AI helpers\, triangulation\, automation bias\nHow to wire credibility checks into your workflow so you trust what comes out\n\nWhat You’ll Build\nIn the 90-minute hands-on lab\, you will: \n\nPick one real research problem you actually have — a topic you track\, a brief you write\, a class of question you answer over and over\nMap it into a 3–5 step research system: what to pull\, where to cross-check\, how to flag uncertainty\nTest it with a small data set you bring — your PDFs\, URLs\, notes\nLeave with an MVP workflow and a roadmap for taking it further\n\n\nWhat You’ll Leave With\nYou will leave with a tool agnostic contextual documentation that will allow one to continue learning/developing reliable human + ai research capability no matter what tool prevails: \n\n\none defined research “problem” unique to personal context/needs with 90 day roadmap on how to increase effectiveness and productivity\neducation on how to context engineer foundations for multi-agent systems beyond the session\nAAIA help resources and contacts for system development best practices (people to reach out to when uncertainty/ambiguity becomes overwhelming)\n\nWe will use Austin AI Alliance’s own live research program as one teaching case throughout — but everything you build is yours\, on your own topic. \nWho It’s For\n\nAI-curious folks who have used Claude\, ChatGPT\, Gemini\, or Perplexity once and want to go further\nAnalysts\, researchers\, and consultants who do recurring intelligence work\nCivic\, economic-development\, and policy professionals who need defensible source trails\nBuilders and operators evaluating where to invest their AI time\n\nNo build experience required. If you have used one LLM tool\, you are qualified. \nBefore You Arrive\nRequired: \n\nLaptop (any modern OS; nothing to install)\nActive accounts on at least two of: Claude\, ChatGPT\, Gemini\, Perplexity (free tiers are fine)\nOne real research problem or recurring task you would like to work on live\nA small folder of unstructured material — 3–10 PDFs\, URLs\, or text files — related to that problem\n\nFormat\n\nThe first 60 mins will be educational with a discussion about why/how/where agentic research workflows fall short. The  next 30 mins will be hands on foundational around context engineering and defining research “problem definition” and “desired outcomes” that research “agent” will work towards. One short break. The remaining 90 mins will be a hands on “onboarding” research agent + testing + MVP workflow design + setting up feedback loops. Q&A at the end.\n\n \nAbout the instructor: Larry Allen\nAI is disrupting everything. Trust still builds everything. Larry operates at the intersection by bridging emerging technology with proven B2B partnership fundamentals\, helping organizations navigate change while staying connected to authentic value creation. He has facilitated AI literacy and adoption across all scales: enabling individuals to get the most out of their tools\, helping startups integrate AI workflows\, and guiding SMBs through strategic implementation without losing their core values. Larry synthesizes complexity into strategic clarity that drives measurable outcomes. 
URL:https://austin-ai.org/event/agentic-research-system-hota/
LOCATION:The Center for Government and Civic Service\, ACC Rio Grande: Building 3000\, 1218 West Avenue\, Austin\, TX\, 78701\, United States
CATEGORIES:AAIA,HOTA
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20261118T173000
DTEND;TZID=America/Chicago:20261118T203000
DTSTAMP:20260812T171511Z
CREATED:20260702T211656Z
LAST-MODIFIED:20260812T171511Z
UID:10000711-1795023000-1795033800@austin-ai.org
SUMMARY:Human Orchestration of Tools and Agents - A Studio of One
DESCRIPTION:A Studio of One \nHow to make video\, podcasts\, and infographics with a whole crew of AI agents\nDescription\nYou used to need a film crew\, a designer\, and a sound engineer to make good content. Now you need to know how to direct AI. In this hands-on evening you’ll set up your own one-person studio and make something real\, on your own topic\, in a single night\, whether that’s a video\, a podcast\, an infographic\, or a set of social posts. \nWe’ll get into two shifts that are quietly changing creative work. First\, the AI agents now built inside creative platforms like Higgsfield\, Runway\, and Luma\, where you describe what you want and the tool handles the production. Second\, the orchestration layer that sits above them\, something like Cowork (Claude’s desktop agent)\, which lets you run the whole stack from one place\, the way a director calls the shots on a set. \nStarting from one idea\, you’ll generate the visuals\, direct AI video\, produce audio for narration or a podcast\, and lay it all out into a finished piece you can publish. You pick the format. The point isn’t any single tool. It’s learning to direct them together\, so you walk out with a system you can run again the next morning. \nTools we’ll use: Cowork (Claude’s desktop agent) as your director’s chair; Higgsfield\, Runway\, and Luma for AI video; ElevenLabs for narration\, podcast audio\, music\, and sound; and AI design tools like Gemini\, Nano Banana\, Ideogram\, and Canva for images\, infographics\, and layout. HeyGen and Descript make cameos. \nWhat You’ll Be Able to Do\n\nTurn one idea into the format that fits: a video\, a podcast\, an infographic\, or a batch of socialposts\nUnderstand the two levels of AI at work: the agents inside creative tools\, and the orchestrationlayer (Cowork) that runs them all\nDirect cinematic AI video across Higgsfield\, Runway\, and Luma\, with control over motion\,camera\, and look\nProduce clean narration or podcast audio\, plus music and sound\, in ElevenLabs\nDesign on-brand images and infographics from one simple prompt system\nUse Cowork to plan the work\, call the right tools\, and help assemble the pieces\, so you’redirecting instead of clicking through apps one at a time\n  \nWhat Makes This Session Different\n\n\nMost AI classes teach one tool. This one shows you how the tools fit together\, which is the part that actually changes how much one person can make. And it’s built to be approachable: if you can describe what you want\, you can do this. \n\nYou leave with a real\, finished piece in a format you choose\, not a random demo clip\nYou learn the orchestration layer\, the human-in-charge idea at the heart of HOTA\, not justanother app\nYou build something on your own topic and walk out with a system you can rerun\nTaught by a practitioner who ships this work for brands and has driven more than 10 millionviews\nSmall format\, hands-on\, real time for real questions. No rushed demos\, no death by slide deck\n\nWho It’s For\nMarketers\, communicators\, founders\, educators\, creators\, and anyone who wants to make content but doesn’t have a team to do it. This is beginner-friendly. If you’ve used ChatGPT or Claude even once\,you’re ready. No design\, video\, or audio experience required. Curiosity and a topic you care about are allyou need. \nBefore You Arrive\nA little setup ahead of time means more making and less waiting on the night. Required: \n\nA charged laptop (phones and tablets won’t work for this)\nA topic you genuinely want to make something about\nThe Claude desktop app installed so you can follow the Cowork steps\nA Google account (for Gemini and NotebookLM)\nFree accounts created at Higgsfield\, Runway\, Luma\, ElevenLabs\, Canva\, and HeyGen\n\nOptional but helpful: \n\nYour brand basics (logo\, colors) and a few links or notes on your topic\n\nInstructor Bio\nSteve Mudd is the CEO of Talentless AI\, an AI-native creative studio based in Austin\, and a 2026 AI Leadership Award winner from the Austin AI Alliance. He builds AI video and agent-driven content systems for brands and studios\, and his AI content has generated more than 10 million views across TikTok\, LinkedIn\, and YouTube. He’s an AI Expert for B2B Marketing’s Propolis community and a resident AI expert and keynote speaker for Ragan Communications. Steve runs AI bootcamps\, coaching sessions\, and hands-on workshops that help marketers\, communicators\, and creators put AI to work in the jobs they actually do. \n  \n 
URL:https://austin-ai.org/event/hota-november/
LOCATION:The Center for Government and Civic Service\, ACC Rio Grande: Building 3000\, 1218 West Avenue\, Austin\, TX\, 78701\, United States
CATEGORIES:AAIA,HOTA
ATTACH;FMTTYPE=image/png:https://austin-ai.org/wp-content/uploads/2026/07/human_orchestrated_agents1-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20261216T173000
DTEND;TZID=America/Chicago:20261216T203000
DTSTAMP:20260709T160747Z
CREATED:20260702T224938Z
LAST-MODIFIED:20260709T160747Z
UID:10000713-1797442200-1797453000@austin-ai.org
SUMMARY:Human Orchestration of Tools and Agents - TBA
DESCRIPTION:Most training sessions leave you inspired but not equipped. HOTA was built to fix that. \nHuman Orchestrated Tools and Agents is the Austin AI Alliance’s hands-on training program. Each session focuses on one tool\, one skill\, or one workflow — with enough time to actually learn it\, practice it\, and ask real questions. No rushed demos. No passive slide decks. No death by PowerPoint. \nThese are paid\, small-format sessions designed for professionals who are serious about building real AI skills. You’ll work alongside peers who are figuring out the same challenges you are\, guided by practitioners who use these tools every day. \nTopic: To be announced soon
URL:https://austin-ai.org/event/hota-december/
LOCATION:The Center for Government and Civic Service\, ACC Rio Grande: Building 3000\, 1218 West Avenue\, Austin\, TX\, 78701\, United States
CATEGORIES:AAIA,HOTA
ATTACH;FMTTYPE=image/png:https://austin-ai.org/wp-content/uploads/2026/07/human_orchestrated_agents1-scaled.png
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