Rapid Development: Building Three AI Projects in Just 24 Hours

This past weekend, I embarked on an intensive challenge to create three mini projects leveraging the capabilities of OpenAI, Anthropic Claude, and Google Gemini APIs. For those interested in the process and my findings, I’ve documented my journey in a YouTube video that explores each step of the development.

The purpose of this sprint was to evaluate how each API performs when pushed to deliver results within a tight timeframe. I was keen to identify which tools were efficient, which posed challenges, and where things might falter during the hustle of rapid development.

In the video, I walk you through the projects I built, the strategic decisions I made along the way, and how effectively each AI model managed various tasks such as reasoning, user experience considerations, and developer tools. I must emphasize that this isn’t a formal benchmark; rather, it’s an exploration of real-time usage under pressure—raw, unfiltered experiences that highlight both strengths and weaknesses.

I would love to hear your thoughts on my projects or any similar experiences you’ve had with AI development. Let’s share insights and learn from each other’s endeavors in this fast-evolving field!