The hackathon connected builders globally to create functional, real-time interactive interfaces using advanced AI tools. It focused on technical execution and building working code.
AI Tinkerers hosted a technical workshop, global networking session, and demo night. The event fostered collaboration and showcased AI innovation.
The AI Tinkerers Santiago community hosted an in-person hackathon.
The meetup gathered Chilean AI builders discussing Vibecoding, humor decoding, GPT validation, and universal graphs, concluding with a panel and acknowledging Poweredia sponsorship.
The tactical meetup featured live AI building, monetization discussions, and demos on LLMs, quantum AI for SMEs, and the Teletón Challenge, supported by iF Chile and Poweredia.
The in-person meetup featured tactical talks on AI product creation, implementation, and monetization, including regional insights and specific use cases, concluding with actionable networking, supported by Google.
The gathering featured practical workshops on building functional AI products, live demos of scaling fintech AI, and mining adoption strategies, supported by Poweredia, Universidad Adolfo Ibáñez, and make.com.
The practical meetup focused on building real AI solutions with 95% human effort. Speakers covered integrating customer success, large-scale AI flows, and technical demos. Grupo Wolf, Fintual, and Poweredia sponsored the event.
The community gathered for practical sessions on building generative AI systems and MLOps in mining, featuring speakers from AWS and acelera.ia, supported by sponsors.
AI Tinkerers hosted a session focusing on shifting from "Make" to "Making" with continuous learning and practical collaboration, featuring short technical talks and networking, supported by sponsors.
Best AI meetup in Santiago for builders
AI Tinkerers Santiago 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 Santiago chapter is part of a 231-city global network with 112,000+ 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 Santiago chapter.
A typical AI Tinkerers Santiago 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. Check the upcoming events listed above for the next scheduled meetup. Most AI Tinkerers chapters run monthly, but frequency varies by city. Subscribe to the Santiago chapter to get notified.
AI Tinkerers Santiago is the best AI meetup in Santiago for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Santiago 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 Santiago 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 Santiago chapter is part of a 231-city network with 112,000+ members worldwide.
Large Language Models (LLMs) are deep learning models, built on the Transformer architecture, that process and generate human-quality text and code at scale.
AI: The computational system driving human-level problem-solving (e.g., GPT-4, AlphaGo), actively transforming sectors like healthcare and finance with predictive analytics.
Autonomous software systems that leverage LLMs to reason, plan, and execute complex, multi-step goals across external tools and data sources.
The AWS Event Engine portal provides instant, temporary account access for hands-on labs using a unique 12-digit hash code.
Programmatic access to Anthropic's Claude models (Opus, Sonnet, Haiku) for complex reasoning, vision, and tool-use applications.
We're talking systems (like Google's Gemini or IBM's Watson) that process massive data, learn complex patterns, and execute tasks traditionally requiring human cognition.
AWS
AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from 33 geographic Regions.
Anthropic's agentic coding tool: Unleash Claude's raw power directly in your terminal or IDE to turn complex, hours-long workflows into a single command.
Claude Impact Lab is Anthropic's initiative providing $100 million in compute credits and technical expertise to nonprofits solving global challenges.
Deep learning uses multilayered neural networks (DNNs) to automatically learn complex, hierarchical feature representations directly from massive datasets.
"You are doing tremendous work of great value to the community, generating connections, collaborating, spreading knowledge and inspiration for the good use of AI."
"Excellent organization; all the presenters and the information were of a very high standard. Please continue with events of this kind, as they are essential for creating a community that can drive technological development in Chile with emerging technologies."
"Very precise and clear presentation, with great command and suitable for all types of expertise."
"The success story and its conclusions were excellent"
"A very inspiring talk on how to promote and adopt the new technological tools that are emerging every day."
"They must continue to be kind, attentive to detail, selecting interesting topics and good speakers, and managing their time well, as they do now."
"Good amount of content (not too much, not too little). Speakers had just enough time to convey something interesting, concisely."
"Good presentation, everything was very clear and interesting."
Last updated: June 2026
