Vibe-Coding a Business: Using AI to Rapidly Build, Test, and Validate Real Products
NewAI has fundamentally changed how quickly new businesses can be created. With modern, high-end models, individuals and teams can now move from a raw idea to a functioning product, market narrative, sales motion, and operating loop in days rather than months. The challenge is no longer whether AI can generate assets—it’s how to use AI intentionally across the entire business lifecycle to produce outcomes that are relevant, credible, and sustainable. In this hands-on tutorial, Jason Arbon leads participants through a practical, end-to-end approach to “vibe-coding” a business using AI. The session covers how to leverage AI at every stage of building and running a business: ideation, product creation, marketing and positioning, pitching, early sales, testing and validation, and ongoing optimization. The emphasis is on real workflows and decision-making patterns that Jason has applied in practice, rather than theoretical examples or isolated demos. Participants will learn how to use AI not just to build quickly, but to continuously test assumptions, validate relevance, surface quality issues, and iterate across product and go-to-market in parallel. The tutorial focuses on avoiding common AI pitfalls—such as false confidence, shallow validation, and over-reliance on AI-generated enthusiasm—by grounding each step in structured evaluation and feedback. Participants will leave with a concrete framework—and working artifacts—for using AI to build, test, run, and optimize a business from idea through early execution.
Preparation & Requirements:
- Participants should come prepared with:
- A laptop
- Access to a paid, high-end AI model (such as Anthropic, ChatGPT, or Gemini)
- Participants may:
- Bring an existing company or product idea to work on during the session, or
- Create a new idea on the spot with guidance during the workshop
- No prior startup experience is required; the workshop is designed to work whether participants are exploring a new idea or refining an existing one.
Jason Arbon is a serial founder and AI practitioner focused on building and validating real products at scale. He previously founded Test.ai, an AI-first software testing company funded by Google, where he worked on applying machine learning to automate quality, relevance, and user experience validation across large, complex products. Today, he is the founder and CEO of Testers.AI, where he is advancing the next generation of AI-driven testing and evaluation—using AI agents and synthetic users to continuously test products, marketing, and user experiences in real-world conditions. Jason’s work is grounded in hands-on experience using AI to rapidly build, test, launch, and iterate businesses, and he brings a practical, execution-focused perspective on how AI can accelerate the entire lifecycle from idea to operating company.