Conclusion

Any product person who gets this far in the book has probably accepted that the generative AI space is far more complex than simply asking ChatGPT a question and expecting a good answer. What it can do is impressive, but it’s frustrating when it doesn’t do what is expected. The key here is whether it was known that it could have been more helpful. In many places, customers will need to learn or recognize if ChatGPT, in its air of confidence, was lying. That is why product people are the gatekeepers for quality.

This final chapter will take a different approach at a straight summary, focusing on what we did through other views of the world and a few ways of thinking about a generative AI journey:

• Applying learnings to the new frontier
• Double-checking what feels right
• Build processes that fit the solution
• Wrapping up the journey