AI Agents Pick Your Business Problems?!

Summary

What if an AI could not only solve a problem you give it, but also discover and define the most important problem for you to tackle? This video dives deep into an experiment comparing two AI models, Fable and Codex, to see which could best automate a business process by first identifying the core issue. The creator found Fable, despite being more difficult to use with multiple permission pop-ups, demonstrated a superior strategic understanding by identifying the challenging task of choosing what story to tell in an AI-saturated world. Codex, on the other hand, presented a more straightforward but less impactful problem: improving handoff packages for faster scripting. What's fascinating is how this reveals the inherent tendencies of each AI; Codex, even in its 'Ultra' mode, leans towards bounded, manageable problems, while Fable showed a more ambitious, big-picture thinking. The creator emphasizes that this isn't just about the AIs; it's about solving the "what do I do with my AI?" problem. They've developed a reusable skill that acts as an 'easy button' for automation, allowing users to tell the AI to examine their behavior and suggest an automation opportunity, without the user needing to know the problem beforehand. This skill includes safeguards and prompts the AI to think big, build completely, and consider security and business value. The core takeaway is that AI can be used to uncover and solve your most pressing issues, whether personal or professional, with the output being unique to your data. While the creator acknowledges the appeal of Codex's user-friendly interface and cost-effectiveness for everyday tasks, Fable's strategic insight is deemed invaluable, creating a strong argument for running both models to get diverse perspectives and the best possible solution. The video is absolutely worth watching for anyone looking to harness AI for genuine problem-solving and automation, offering a clear path to making AI agents truly useful.