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SUMMARY:Austin AI Film Festival 2026
DESCRIPTION:The Austin AI Film Festival is built for anyone who loves movies and wants to see how the next generation of cinema is actually made. Across two days\, leading AI filmmakers step on stage to show their work: the exact workflows\, the technical workarounds\, and the creative decisions behind every frame. \nThe films will eventually be online\, but the explanations won’t. In the auditorium at Zach Theater\, you will watch the best hybrid and generative shorts of the year on the big screen\, then hear directly from the mainstage speakers breaking down the craft behind their projects. \nAlongside these creator breakdowns\, you get keynotes from the pioneers building the tools\, and access to a virtual GenJam running the weekend before the festival. The Official Selection screens October 17\, concluding with our judging panel presenting awards on closing night. \nAAIFF is for anyone who wants to see where screen culture is going next. It is designed for film fans and the AI curious who want to watch incredible movies\, hear the stories behind them\, and experience a great weekend in Austin. It is also built for creators and artists looking to learn real-world workflows from top directors\, tech pioneers eager to see how storytellers use and break their software\, and studio leads and producers seeking a clear look at how modern visual production is evolving. \nOctober 16 and 17\, 2026 in Austin\, Texas. Learn more at austinaifilmfest.com \nPrices range from $79-199. Use code AAIFFCOMMUNITY for a 30% discount code on your tickets purchase through https://luma.com/e3mbx2wg.
URL:https://austin-ai.org/event/austin-ai-film-festival-2026/
LOCATION:Zach Theater\, 202 South Lamar Blvd\, Austin\, TX\, 78704\, United States
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UID:10000710-1792603800-1792614600@austin-ai.org
SUMMARY: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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