How I Started Building AI Tools That Were Actually Worth Using

1. 1Build a retrieval-based system using AI to solve a specific problem
2. 2Run experiments to test and refine your AI workflow
3. 3Configure automation tools to integrate with your AI system
4. 4Test and evaluate the effectiveness of your AI workflow
5. 5Apply your AI workflow to a real-world problem to measure its impact

Data scientists and AI engineers can benefit from this article to improve their workflow and automation skills, and apply AI to solve real-world problems

💡 AI can be turned from a fun experiment into practical workflows and automations that solve real problems

Turn AI experiments into practical workflows and automations that solve real problems!