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Data should be transparent:

what is stored, what is not, and why.

In a learning system, data should exist for one reason: to help you build consistency and outcomes. The core principle is simple: data minimization.

WHAT YOU GET

Three benefits of transparent data

You understand “why”

Data should have a purpose: progress signals, practice tracking, and better learning decisions.

See what progress signals look like →

You keep control

Preferences help you choose communication and personalization options.

You build trust

Trust beats hype. Transparency supports long-term learning and family adoption.

Responsible AI guardrails →

Important context: 

You can read free guides on the website without “joining.” The app becomes useful when you want sequences, practice, and tracking because execution needs structure.

PLAIN-LANGUAGE TRANSPARENCY

What data may exist

This is a human-readable explanation aligned with the Idasara principle of student data minimization. The intent is not “surveillance.” The intent is progress signals and consistency.

Account basics

To save progress and personalize sequences, the app may require basic account identification. If you never use the app, you can still read on the web.

Open the Acceleration Tools 

Learning progress signals

Practice sessions, completion, and streak-like signals exist to help you build habits and see improvement over time. This supports “proof → habit → outcomes.”

Preferences you choose

Your selected language, subjects, reminder choices, and other options exist so the system fits your reality. You control these settings.

What we try NOT to do

Data that does not support learning outcomes and safety should not exist. The goal is minimum needed, protected, and not sold.

PROOF MODULE

How data should help you

Track progress, not pressure

Progress signals should reduce anxiety by making your next step obvious.

Start free→

Support families

Parents need visibility without constant conflict. Systems beat guessing.

Read the Parent guide →

Keep AI responsible

Transparency and human responsibility matter more than “smart” outputs.

Responsible AI guardrails →

PROOF MODULE

How you know AI is helping

You can explain it yourself

If you can teach it back in simple language, you own the knowledge.

Learn progress signals →

Your mistakes reduce over time

Progress shows up as fewer repeated errors - not just reading more.

Build a mistake bank system →

You perform without the tool

Real readiness means you can perform under test or work conditions.

See weekly actions → outcomes →

Learn free on the web

Start with content and clarity. No pressure.

Continue with Acceleration Tools

Use sequences + practice loops + progress tracking - so you don’t stop at reading.

FAQs

Clear answers

Can I learn without storing any data?

You can read free content on the website. The app may store progress signals if you want tracking and sequences.

Because “proof” requires signals across time: what you practiced, what improved, and what needs work next.

Why does progress tracking need data?

No. The principle is data minimization and protection, not monetization of learner data.

Do you sell student data?

What if I want more transparency?

Start with Privacy and Responsible AI. These pages explain the guardrails in plain language.

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