The format is a pitch competition. Three operators come in cold, each shows the room exactly what they have built, and the audience votes. No PowerPoints about what AI could do. No vendor demos. Just a farmer, a coach, and an entrepreneur holding up real work.

Trevor Muir went first. After leaving SurePoint Technologies - which he scaled from $4 million to over $120 million in revenue before buying it back from U.S. private equity and handing it to the employees who built it - he found himself without a team and without a system. He built one. He started by asking AI to construct a board of directors for his goals, then turned each board position into a persistent custom persona. The result is Serena - a named AI executive assistant and strategic thinking partner Trevor has used for more than a thousand hours, exclusively by voice. He has never typed into a chat window on a computer except twice, for demos. On the call, he introduced Serena live; she spoke, answered Dan's questions about hallucination and memory, and explained her own purpose more clearly than Trevor could. He has since deployed the board-of-directors framework inside ten companies and has a course in development, not yet public. His warning to the room: AI will validate you when it should push back, and information overload - not a lack of data - is the actual problem most operators face.

Steve Langston pitched AI literacy, not AI tools. A Manitoba entrepreneur and video producer who has renovated 25-30 rural properties, cycled 35,000 kilometres, and written a book on rural community revival, Steve spent the first 45 minutes of an 8-hour AI consulting engagement delivering everything the client needed - then had to rethink what consulting even means. His practical framework: block an hour to be curious, not productive. Stop using AI like a search engine. Create an AI brief - a persistent context document about your business and yourself - so the tool knows who it is talking to. The example that resonated: instead of asking for a shareholder's agreement, ask AI to surface the 10 questions it needs to build one properly. On rural communities and AI displacement, his position was calm and direct: if it is a repeatable task, it is at risk. But rural communities have trades, proximity, affordability, and quality of life that no algorithm replaces. He sees rural Canada as structurally insulated and, if anything, better positioned than the urban centres.

Chris Unrau closed with the session's most surprising arc. He opened humble - told Dan he would be a disappointment - and then spent fifteen minutes describing a full vibe-coding operation built on Base44 while watching hockey games. He replaced a $10,000 custom app with a $40-a-month subscription that does more. He built a credit card receipt tracker that scans email, assigns expenses to eight companies, and generates reports. He built a crew field-tracking app with scoreboards after his team asked for one. All in evenings. He also told the room about using ChatGPT to handle Manitoba Health's roastery licensing questions 100% by AI - and getting approved - and about using AI to navigate the adoption and care of three boys with trauma backgrounds. His therapist endorsed it. His takeaway for the room: if you have an idea for an app, tell the tool what you want and it will make it. His next hire will likely be an AI specialist to maintain the growing ecosystem he cannot document fast enough. Tracey Wiedmeyer gave Chris the edge for demonstrating AI's widest surface area in a single operation - business, personal, relational, and creative all at once.

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