A practical session with Michael Ensor for founders, operators, and small teams who need working AI output fast. We move from idea to app, investor story, and team operating system in one focused build window.
The goal is not to explain AI coding. The goal is to use it. The session is built around three concrete outputs that make the work visible, useful, and ready for the next build cycle.
We choose one focused product workflow, build the first version, test the core path, and capture the next technical decisions. The output can be a customer tool, internal tool, lead capture app, calculator, dashboard, or product demo.
We turn the app into a clear investor narrative: problem, customer, product, market, traction plan, business model, roadmap, and ask. The deck is built to support the demo, not distract from it.
Your team leaves with a practical operating pattern for using AI coding tools, research agents, browser testing, documentation, review passes, and task ownership without relying on one person to hold the whole system.
The session is designed to reduce stalled ideas by forcing a focused app scope, a clear investor story, and a team workflow that can survive after the room clears.
The room is organized around building and reviewing tangible assets: app screens, deck structure, workflow roles, and next actions.
The app stays focused on the first user path that proves the idea, so the team can finish a coherent prototype instead of collecting loose features.
The prototype, deck, and backlog can be inspected by founders, teammates, investors, or advisors after the session.
Roles, checks, prompts, and decision ownership make the work easier to continue without depending on one person to remember every detail.
The session compresses strategy, building, pitch work, and team enablement into one practical sequence. The agenda flexes around your product and team, but the output stays fixed.
Define the app, the user, the business problem, the demo flow, and the minimum build that proves the idea.
Use AI coding and tooling to generate the app, run the main path, fix obvious issues, and document the next build decisions.
Turn the demo into a deck narrative with a strong problem statement, product story, market logic, traction plan, and next ask.
Assign roles, review patterns, collaboration rules, tool usage, and next actions so the team can keep building together.
The seat is valuable when it helps the attendee move from interest to executable work: fewer stalled ideas, a faster first prototype, a clearer investor story, better team execution, and a cleaner backlog.
A beginner seat turns AI from a vague tool into a visible work partner by showing how an idea becomes a first app flow, a pitch story, and a practical next-step list.
Michael works at the intersection of AI implementation, business operations, product execution, and team enablement. The session is designed for practical output: decide, build, test, explain, and hand the team a better way to keep moving.
Tell us the build goal, current skill level, role, team size, and what must exist by the end. We will respond with the right fit and next steps.