While AI is incredibly useful, it still requires human oversight for critical tasks due to its tendency to make errors.

While AI can automate many tasks, it is not yet reliable enough to handle critical decisions without human oversight.

The last mile of achieving 100% accuracy is the hardest, often requiring human intervention to address inaccuracies in AI applications.

When 90 or 95% of all code is generated by AI, the human will still be in the loop; we shouldn't overstate the autonomy of AI.

AI tools can provide around an 85 to 90 percent solution, but additional fine-tuning is often necessary to deliver genuine value.

While AI can build applications faster than humans, it still requires human oversight to ensure quality and creativity in the development process.

Incorporating human oversight is critical, especially in high-stakes environments, to ensure accuracy and reliability in AI-generated responses.

The transition from 70% to 100% accuracy in AI applications is significant; users are willing to pay substantially more for reliable solutions that work consistently compared to those that only work part of the time.

When AI gives mediocre results, treating it as a teammate means providing feedback and coaching to improve its output.