Inside Montreal's AI Scene: Vibe Coding, Agentic Biographies, and Bowler Hats

On June 9, 2026, Montreal's AI community gathered for the AI Showcase Night, drawing an active crowd of 56 builders, creators, and local tech enthusiasts. The evening featured four distinct live demos ranging from non-technical creators building functional MVPs in a week to theatrical deep dives into cost-efficiency frameworks. It was a raw, hands-on look at how local founders are deploying AI to solve real-world problems.

Vibe Coding LiftCurious: A Women's Weightlifting Directory Built in 7 Days

Lift Curious is a community platform and directory designed to help Montreal women find weightlifting partners, share knowledge, and build confidence in the gym.

Leah Mazur took the stage to pitch Lift Curious, a community platform designed to help Montreal women find weightlifting partners and build confidence in the gym. Built in just one week with zero technical background, Mazur utilized AI-assisted development to launch a fully functional MVP with an investment of 25 hours and 78 dollars in credits. The crowd cheered as she demonstrated the social directory, which has already generated 41 early signups with a 90 percent profile completion rate.

Lift Curious

Founded by Leah Mazur, who has no technical background, the project was created to address the intimidation and lack of guidance women often face in male-dominated weight sections.

Preserving Life Stories with Zero-Code AI Agents

LifeMemory is a voice-first storybook platform that captures and compiles personal histories into structured biographies using AI agents.

Dan Le Van presented LifeMemory, a voice-first storybook platform that helps aging populations and immigrant families preserve their personal histories. Using specialized Claude AI agents, Le Van built the entire application without writing a single line of code. The demo featured a visual brain map that automatically links spoken memories, recurring themes, and family members into a structured story graph.

LifeMemory

Created by Dan Le Van, the platform targets aging populations and immigrant families whose histories are often lost, allowing them to record memories by speaking into the app.

Green AI Studio: Slashing AI Inference Costs Through Smart Query Routing

Makegreen.ai is a free, open-source framework and methodology that helps companies drastically reduce their AI inference costs and energy consumption.

Trevor Longino, sporting a bowler hat and bowtie, introduced Makegreen.ai, an open-source framework designed to tackle wasteful AI overspending. The methodology routes simple queries to smaller, cheaper models like Qwen or DeepSeek, only failing upwards to expensive frontier models when absolutely necessary. Longino backed up the theatrical pitch with hard numbers, showing how one partner reduced costs from 50 cents to less than a third of a cent per million words.

Makegreen.ai

Founded by Trevor Longino of Green AI Studio, the project addresses the McLaren Problem of running repeatable, predictable tasks on high-power frontier models.

Social Media Assistant: Analyzing and Polishing Digital Communication

Social Media Assistant is a technical tool designed to analyze digital communication and detect flaws in public statements.

Neil Pitman presented Social Media Assistant, a tool designed to analyze digital communication and detect flaws in public statements. Pitman demonstrated his strong technical knowledge, showing how the application aims to help users refine their online presence. While the presentation polarized the audience, the core utility of detecting communication flaws sparked active debate and interest from attendees looking for specialized social media analysis.

Social Media Assistant

Developed by Neil Pitman, the project leverages his technical expertise to help users identify and correct errors in their social media output.

Conversations and Connections in the Montreal Scene

Following the presentations, the room of 56 attendees remained highly active, with conversations buzzing across the floor. Presenters and local builders huddled to discuss everything from AI-assisted development to cost-saving routing frameworks. Many stayed late to swap contact details, offer feedback, and plan follow-ups, cementing the evening's role as a true hub for Montreal's hands-on AI community.

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