Head over to our Events Portal to get the latest on upcoming AI Collective events near you. Search by city, date, or event format, and join thousands of builders at events across 100+ chapters on every continent (except Antarctica, for now).

🌁 Based in SF? Check out SF IRL, MLOps SF, GenerativeAISF, or Cerebral Valley’s spreadsheet for more!

The AI Collective’s Tri-Valley chapter gathered founders, operators, and students at ZINFI Technologies for AI & Her, an evening led by Jessie Chen with support from Alice Leung, Gretchen Codus, Jia Gao, and Rosa Poon. Onstage, speakers traced the real stories behind their careers in AI, from student founder experiments to small business adoption and two decades of product and data leadership.

The conversation moved quickly from bios to tradecraft: how women leaders evaluate risk, set taste in an AI-heavy design landscape, and insist on human outcomes when tools keep changing. The most animated discussions came after the panel, as guests compared paths and made the case for women at the table designing responsible, commercially viable AI products. The chapter will continue the series with more women-led programming in the Tri-Valley, so stay tuned for more events soon!

In San Salvador, The AI Collective El Salvador chapter turned their Vibecoding Lab into a working studio for people at every skill level. Hosted by Gilberto Balderas and Carol Monroe, the session walked participants from idea to live prototype using tools like Lovable, Supabase, and Cursor, with laptops open and projects built in real time.

Talks from Carol Monroe, Daniela Huezo, Steven Granados, and Walter Morales covered the full stack: translating a PRD into a Supabase-backed app, structuring prompts that actually hold up in practice, testing strategies that keep projects stable, and moving into more advanced Cursor-driven workflows. Attendees left with shipped artifacts, clearer mental models for AI-assisted development, and a local network they can build with. Future Vibecoding Labs will deepen the technical track while keeping opportunities open to non-technical builders.

New York’s More Than Machines brought together founders, investors, and students in Hell’s Kitchen for a packed panel and demo night hosted by The AI Collective and NYU’s Berkley Center for Entrepreneurship. The AI Collective NYC chapter team convened leaders from LangChain, Google, M13, Stifel Venture Banking, Pupil, Yeego.ai, CentaurLab.AI, and The Vertical, with Viki Han moderating a candid conversation on where AI is really headed.

The panel stayed grounded in practice: how AI is reshaping education, finance, and media, and what it means to keep humans and communities at the center of those systems. Afterward, live demos from Yeego.ai, Civic, Connxn, and others turned abstract themes into working products, with founders trading feedback in every corner of the room. The NYC chapter closed the night by inviting attendees into upcoming demo nights and deeper roles in the Collective’s university and city programs.

Protopia AI, Miriel AI, and CyborgDB join forces for a live session on building AI systems that connect video, documents, and transcripts without exposing sensitive information. Hosted by The AI Collective, the discussion explores how context engines reduce hallucinations while encryption and privacy-in-use techniques keep data secure from ingest to inference.

Speakers include Eiman Ebrahimi (Protopia AI), Josh Paulson (Miriel AI), and Nicolas Dupont (CyborgDB), moderated by Charlcye Mitchell. The session runs Wednesday, Nov 19 at 11 AM PT.

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About Noah Frank

Noah is a researcher, innovation strategist, and ex-founder thinking and writing about the future of AI. His work and body of research focus on aligning governance strategies to anticipate transformative change before it happens.

About AJ Green

AJ Green is a founder, writer, VC scout, chairman, and respected community leader in the AI and startup space. A former athlete turned tech entrepreneur, AJ is on a mission to make AI the great equalizer scaling startups, connecting ecosystems, and turning disruption into opportunity.