To answer your question: Yes, Meta Thinking is the eventual north star. Right now, I’m focused on the "Architectural" logic of solving a single problem, but the goal is to help students recognize their own patterns across different domains.

I don't have an RSS feed or newsletter set up just yet, but given your interest, I’ll prioritize adding a simple "Signals" feed to the site so supporters can follow the technical journey. A question for you (or anyone else in the thread): As a solo dev with zero marketing budget and no sales background, I’m struggling with how to get this in front of the right parents without getting lost in the "AI hype" noise. Since I’m self-funding the API costs, I can't afford big ad spends.

If you have any advice on organic growth for a tool that's intentionally designed to be "harder" (more friction) than the competition, I’d love to hear it.

Rest assured, chat logs are encrypted and saved as per regulatory standards.

We Use industry-standard AES-256 encryption at rest and TLS encryption in transit. We use Row Level Security to ensure that your data is logically isolated—even to myself We do not sell your data. We do not use your chat logs to train our own models. Your "thinking journey" is yours alone.

but still I respect your decision. Thank you:)

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

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

I'm a developer and a dad—the project is real, even if my grammar needs a boost! I'll try to let more of my own "unfiltered" voice through.

1. Instruction Drift vs. The Gatekeeper: General-purpose LLMs are trained to be "helpful and agreeable." If a student pushes or shifts the topic, the model often "drifts"—like you mentioned, it might start correcting grammar instead of pushing the child to derive the essay's core logic. Qurio uses a secondary "Gatekeeper" agent that audits every response turn specifically to ensure the "Socratic Loop" stays on the core concept, not just surface-level fixes.

2. The Walled Garden: A general-purpose AI is an open "Ducati"—it has the entire internet's biases and infinite distractions. Qurio provides a closed-loop logic environment. It removes the ads, tracking, and the constant temptation to "just get the answer" that is always one click away in a standard bot.

3. The "Architect" UI: Unlike a standard chat, our Cognitive Process Capsules (CPCs) record the thinking journey, not just the final result. This allows parents to see the logical steps their child took, which is a feature prioritized for education rather than just production.

Ultimately, a kid uses this because it treats them like a Future Architect who needs to understand the "Why," rather than just a user who needs a "Result."

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!