Wrap up: 6 months with AI tools and 5 products nobody’s using

📰 Medium · Startup

Learn from a product designer's 6-month AI sabbatical, where they spent $1885 on tools and built 5 products that didn't gain traction, to understand the importance of experimentation and perseverance in AI-driven product development.

intermediate Published 9 May 2026

Action Steps

Start by identifying a problem or opportunity in the market and brainstorming ideas for AI-driven products.
Experiment with different AI tools and technologies, such as language models and computer vision, to find the best fit for your product.
Build and test multiple products, and be prepared to iterate and pivot based on user feedback and market demand.
Track and analyze your expenses and progress, and be willing to cut losses and move on from products that aren't gaining traction.
Apply for funding and support, such as YCombinator, to help take your product to the next level.

Who Needs to Know This

Product designers, entrepreneurs, and AI enthusiasts can benefit from this article, as it provides insights into the challenges and opportunities of building AI-driven products and the importance of experimentation and learning from failures.

Key Insight

💡 Experimentation and perseverance are key to success in AI-driven product development, and being willing to take risks and learn from failures is crucial for building innovative products.