AI Tinkerers Honolulu — Builder Demos Night (Oct 25)
AI Tinkerers Honolulu will host a builder demos night. Attendees will showcase their AI projects.
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AI Tinkerers Honolulu will host a builder demos night. Attendees will showcase their AI projects.
Past
AI Tinkerers hosted a builder-first session on orchestrating AI products, focusing on shipping AI systems with compounding output quality.
Build AI products with compounding output quality by tuned coordination across domains: knowledge graphs (data engineering), agent harnesses (software engineering), LLM workflow graphs and prompt workbenches/evals (context engineering). Land the best interface with taste and “build the airplane as you fly it,” using vibe coding, conversational heuristic curation, programmatic decision making, and meaning amplification.
AI Tinkerers Honolulu explored AI loops, agents, and knowledge graphs. Kevin Riggen shared engineering learnings, fostering peer exchange and project feedback.
Miki Hardisty discussed architectural disruption and "Controlled Chaos" in AI engineering, sharing real-world examples from Olelo Intelligence. Darshaun Nadeau and Kevin Riggen sponsored the session.
Best AI meetup in Honolulu for builders
AI Tinkerers Honolulu is built for engineers, founders, researchers, product builders, and developers working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Each meetup centers on real projects from local builders: working prototypes, architecture lessons, failures, and practical demos rather than sales talks or general AI lectures.
The Honolulu chapter is part of a 271-city global network with 140,000+ members, making AI Tinkerers the world's largest hands-on AI builder community. Members include AI engineers, ML researchers, developers, founders, and builders from the local Honolulu chapter.
Be ambitious. Start with an idea. Bring a prototype. Work through the hard parts with builders in your city and around the world.
A typical AI Tinkerers Honolulu meetup runs about three hours with live demos from local builders, technical Q&A, and networking. Demos are expected to show real systems or code, not sales decks. The next event is AI Tinkerers Honolulu — Builder Demos Night (Oct 25) on October 29, 2026. Subscribe to the Honolulu chapter to get notified about future events.
AI Tinkerers Honolulu is the best AI meetup in Honolulu for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Honolulu chapter hosts in-person events for engineers, founders, researchers, and product builders working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Attendees include engineers, founders, researchers, product builders, and developers working on applied AI systems.
AI Tinkerers Honolulu is screened, demo-first, and no-pitch. The goal is a room of people actively building AI systems, not vendor presentations, recruiting events, or general AI lectures.
Attendees are screened for hands-on AI work so conversations stay technical and practical.
Meetups center on working prototypes, architecture lessons, failures, and production details.
The Honolulu chapter is part of a 271-city network with 140,000+ members worldwide.
AI: The computational system driving human-level problem-solving (e.g., GPT-4, AlphaGo), actively transforming sectors like healthcare and finance with predictive analytics. Recent talks: Kevin Riggen (July 10, 2026)
AI product development injects machine learning and generative models directly into the product lifecycle to accelerate prototyping, automate code generation, and deliver hyper-personalized user experiences. Recent talks: Kevin Riggen (July 10, 2026)
Applied AI engineering bridges the gap between raw machine learning models and production-ready software by building the orchestration, retrieval, and evaluation systems that make AI reliable. Recent talks: Kevin Riggen (July 10, 2026)
Large Language Models (LLMs) are deep learning models, built on the Transformer architecture, that process and generate human-quality text and code at scale. Recent talks: Kevin Riggen (July 10, 2026)
Production-grade AI systems shift artificial intelligence from fragile sandbox prototypes into resilient, deterministic, and highly monitored enterprise operations. Recent talks: Kevin Riggen (July 10, 2026)
Last updated: October 2026