Kagi Assistant has a custom "Study" model that works similarly. I've been using it for certain learning topics and find it useful.

The compliance parts are good to make clear considerating one segment of the user target audience.

May I ask what techniques do you use to test regressions or correct behaviour of your multi turn conversation in your product? What are the biggest lessons and learnings in that space?

You can dial in on the difficulty: "you must be pedantic and ask that I correct misuse of terminology" vs "autocorrect my mistakes in terminology with brackets".

Super duper useful way to learn things. I wish I had AI as a kid.

Seeing the discussion about "jailbreaking" and Socratic pedagogy has been incredibly helpful. I would love for you to give Qurio a real-world test drive with your kids or students.

I'm specifically looking for feedback on:

The Friction Level: Is the Socratic questioning helpful or just frustrating?

Edge Cases: If your child finds a clever way to "trick" the engine into giving an answer, please let me know.

Mastery: Do you feel they actually owned the concept by the end of the session?

Your feedback is the "Bicycle" that helps me build a better engine. Thank you for being my first "Alpha" testers!

https://chatgpt.com/features/study-mode/

I'd love to know: did the AI feel too "stubborn" in your first few turns, or did it hit that sweet spot of guiding you toward the answer?

Actually we don’t keep chat logs to protect privacy and child data. In order to improve the engine, I rely on feedback of users such as yours. All feedback’s shared are very much appreciated!

You can email me as well if you need more credits for beta access as paid subscription is on hold until beta testing is completed

Since I'm self-funding the API costs, I can only keep trial open for a few more people today.

If you've done a full session with your child, please drop a comment here. I’m curious if the age-calibrated response worked as planned or was it too hard for them