The problem with AI here is that it tends to prefer agreeing to you over being correct and it's very likely that it teaches patterns and terminology to you that doesn't exist.

For example, I just asked ChatGPT to explain a "backflip" in the context of agile development (I claimed I was an university student and that a teacher used that term in the context of moving tickets), and it came up with this:

If your teacher linked "backflip" to moving tickets in a predictable fashion, they might have been emphasizing:

The importance of minimizing rework or regressions.

Understanding why work items move backward (if they do) and making that visible in your process.

Managing workflow policies so that tickets don’t repeatedly “backflip” between stages, which can disrupt predictability.

How This Might Help You Move Tickets More Predictably: If "backflip" means work moving backward:

Track the Cause of Backflips: Identify why tickets are moving backward (incomplete acceptance criteria, insufficient definition of done, unclear requirements).

Improve Definition of Ready/Done: Tighten entry/exit criteria to reduce backflows.

Add Checkpoints: Build small validation steps earlier to catch issues sooner.

Visualize Flow: Use a Kanban board to visualize backward movement and analyze bottlenecks or quality gaps.

It just takes the nonsensical word, makes something up, and claims that it's right.