Instead of perfecting a product, generate a basic "bare bones" version using AI, place it on a simple landing page, and secure initial sales. This validates demand with minimal effort. Use the revenue and early feedback to then invest in creating a more robust, higher-quality version.
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Ramli John launched his paid beta program after writing only two of twenty chapters. This allowed him to gather market feedback exceptionally early, co-create the product with his most dedicated users, and pivot based on their input, significantly de-risking the final launch.
For AI products, the quality of the model's response is paramount. Before building a full feature (MVP), first validate that you can achieve a 'Minimum Viable Output' (MVO). If the core AI output isn't reliable and desirable, don't waste time productizing the feature around it.
Validate business ideas by creating a fake prototype or wireframe and selling it to customers first. This confirms demand and secures revenue before you invest time and money into development, which the speaker identifies as the hardest part of validation.
The speaker advocates a four-step model: Validate, Pre-sell, Deliver, then Build. This approach prioritizes collecting payment based on a well-defined offer document before investing resources into product development, ensuring market demand and initial cash flow from day one.
To get to your first sale a day, prioritize speed over perfection by launching a Minimum Viable Product (MVP) line of 6-12 items. The goal isn't immediate profitability, but to get real products into the market quickly. This allows for rapid learning and feedback, preventing the common failure of launching a 'perfect' collection to no audience.
The ease of AI development tools tempts founders to build products immediately. A more effective approach is to first use AI for deep market research and GTM strategy validation. This prevents wasting time building a product that nobody wants.
Validate startup ideas by building the simplest possible front end—what the customer sees—while handling all back-end logistics manually. This allows founders to prove customers will pay for a concept before over-investing in expensive technology, operations, or infrastructure.
Crisp.ai's founder advocates for selling a product before it's built. His team secured over $100,000 from 30 customers using only a Figma sketch. This approach provides the strongest form of market validation, proving customer demand and significantly strengthening a startup's position when fundraising with VCs.
Validate market demand by securing payment from customers before investing significant resources in building anything. This applies to software, hardware, and services, completely eliminating the risk of creating something nobody wants to buy.
Releasing a minimum viable product isn't about cutting corners; it's a strategic choice. It validates the core idea, generates immediate revenue, and captures invaluable customer feedback, which is crucial for building a better second version.
