Practitioners gathered for technical discussions and work-in-progress demonstrations of foundation model projects, including a guest speaker, concluding with networking. Shopify sponsored the event.
The in-person gathering featured networking, a guest speaker, and raw work-in-progress demos for active AI builders, supported by sponsor Cerebras.
The inaugural practitioner-only meetup featured hands-on demos of Agentic LLMs and generative AI tools, fostering high-signal networking among builders, sponsored by HumanFirst and Google Cloud.
Best AI meetup in Montreal for builders
AI Tinkerers Montreal 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 Montreal chapter is part of a 232-city global network with 113,000+ 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 Montreal chapter.
A typical AI Tinkerers Montreal 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 Montreal chapter to get notified.
AI Tinkerers Montreal is the best AI meetup in Montreal for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Montreal 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 Montreal 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 Montreal chapter is part of a 232-city network with 113,000+ members worldwide.
Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.
FastAPI is a modern, high-performance Python web framework for building APIs with automatic OpenAPI documentation.
Next.js is the full-stack React framework: it delivers high-performance web applications via hybrid rendering and powerful, Rust-based tooling.
Claude is Anthropic's flagship family of large language models (LLMs): a high-performance, Constitutional AI system built for safety, complex reasoning, and expert-level collaboration.
Hugging Face is the central, open-source platform and community for building AI applications, hosting over 300,000 models and datasets via the popular Transformers library.
TypeScript is an open-source superset of JavaScript: it adds static typing and compiles to clean, standards-based JavaScript.
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.
Google's natively multimodal AI model: understands and operates across text, code, audio, image, and video.
GPT-4o mini is OpenAI's most cost-efficient, high-performance small model (SLM), offering multimodal (text and vision) capabilities at a fraction of the cost.
MCP is the open-source standard for securely connecting AI agents (like LLMs) to external tools, data, and enterprise workflows.
"multiple short presentations is a great setup, networking in the middle helps keeping people engaged."
"Demos were great. Having the founder of AI tinkerers and get his views on the inception of the initiative and how it developed was super insightful."
"I had a great time and met wonderful people. I left quite inspired to go back and build!"
"Great initiative, keep it going! It allows for sharing AI projects and generating networking opportunities within the Montreal community."
"I think it would be beneficial to select places near subway station. Everyone doesn’t have a car and we love to come in-person but if the place is not near subway station it may discourage people from coming :o)"
"The social breaks between speakers was great, it helped a lot of people to know each other"
"Thank you for such a great experience. Seeing all those amazing people and talking to them were the best part."
"Love the venue, networking and second part that showed community speakers and in prompt speakers"
"Keep respecting the schedule. 10-min demos is perfect. Having demos from multiple fields and different levels (Kraft art demo was awesome; "Smaller size" demos lowers "barrier to entance" for other people to demo their stuff without being shy)"
"Honestly this was the best talk! Very clear, a good wrap-up of what they did, and questions were answered very well! It all made sense. Congrats to Yanis!"
Last updated: June 2026
