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How To Validate Your AI Product Before You Build

Hosted by Sol Farahmand

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What you'll learn

Why skipping a POC is the costliest AI mistake

AI moves fast, but bad assumptions move faster. Skipping validation is why most projects fail before they ever ship.

Frameworks that structure your AI thinking

We apply the Value Proposition Canvas, Lean Canvas, and Customer Journey Map directly to AI projects with a real exampl

How to validate your idea without building it

Use OKRs, customer discovery, and first principles thinking to test if your idea has legs before you commit to a build.

Build a reusable POC playbook from scratch

Every framework we cover gets organized into a repeatable playbook during the session and take into your next project.

Why this topic matters

Most AI projects fail not because of bad technology, but because nobody validated the idea first. Teams jump straight to building without confirming there is a real problem worth solving. This session gives you a repeatable process to test any AI project idea before committing resources to it. You will leave with a structured playbook and the frameworks own discovery.

You'll learn from

Sol Farahmand

AI Hackathon Winner | 2X Entrepreneur | AI Workflow Builder

Hi, my name is Sol, I’m a business owner taking on some of my toughest business tasks with AI to increase productivity, and I want to share my learning journey with you so that you can skip the trial and error of using AI.

I’ve built hands-on AI systems using tools like Lovable, Claude Cowork, MindStudio, Claude Code, and Codex. I specialize in turning complex AI concepts into practical systems that professionals and business owners can actually use.

I’m an AI hackathon winner, have published 5 Skills, and teach through real implementation instead of theory.

What makes my teaching different is that I help you become operational with AI and improve productivity that fits directly into your day-to-day work.

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