Esuabom Dijemeni

Discover how we built an AI Voice Job Screening application in just 90 minutes at the London Agentic AI Hack Night. Through an interview with AI Product Builder Esua, this post explores the Product Loop Framework, from problem discovery and user research to rapid experimentation and MVP development. Learn how AI voice technology, Python, and agentic AI can automate candidate screening, improve recruiter efficiency, reduce time-to-hire, and deliver a more consistent interview experience.

Discover how we built the AI Passive Income Path Finder, an AI-powered app that helps people uncover their personalised passive income path using the Ikigai framework. In this behind-the-scenes product journey, we share the problem we set out to solve, how we built the MVP using our Product Loop Framework, the lessons we learned, and what's next as we help more people go from idea to income.

See how the AI Passive Income Path Finder went from idea to product using the Product Loop. This case study walks through product discovery, MVP development, customer experimentation, retrospectives, and product decisions, showing how continuous learning helped transform an idea into a validated AI-powered product.