These are R&D projects I've built since generative AI went mainstream.
Each one is working software that I wrote myself, and each one explores a capability that simply wasn't practical before modern LLMs.
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Goal: Let a single operator or a small team run coding agents on real projects safely. A Kanban board where agents specify, plan, implement, review, and stage each ticket, and a human answers questions and approves the merge. It built TaskTree.
Goal: Know what comes first without a scoreboard. A phone-first app that turns a brain dump, a photo of a paper list or a Todoist export into projects, and names the next things to do, each with a reason. Built by coding agents with WASBuilder.
Goal: Find any moment in hundreds of hours of footage, by what was said, what is on screen, who is in it and where it was shot, on one laptop and without uploading a frame. Written by coding agents in under a week.
Goal: Allow creatives to work side-by-side with generative AI to produce high-quality educational, entertaining content in a fraction of the time that it would take to do manually.
Goal: A virtual nutrition coach to help people automatically track their food intake, calculate macro and micronutrient consumption, and provide personalized advice on how to improve their diet.
Goal: Answer the question: “How Canadian is this product?”
Goal: Help narrow the gap between creatives and marketers by creating a common language using images as a visual reference.
Goal: Provide a faster, easier way to create and manage high-quality text, image, and video-based marketing content to promote brands, services, and products.
Every project here started as a "what if?" If you have one of your own, tell me about it.
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