INDEPENDENT · SOURCE-BACKED · ADULTS 18+

See the data trail
before you share.

Map what enters an AI companion service, reduce unnecessary disclosure, choose the right account control and keep useful evidence—without pretending any app can guarantee privacy.

Educational information, not legal advice, security testing or a privacy certification.

Illustrated data trail moving through map, minimize, control and evidence stages
THE FOUR-PART METHOD

A policy is not a promise. A control is not proof.

Use dated public sources, reduce what you share, save request details and ask the provider when a control’s scope is unclear.

MAP

Find the categories

Include chat, uploads, profile, device, payment, support and inferred information.

MINIMIZE

Share less first

Remove names, exact places, credentials, documents and another person’s private details.

CONTROL

Match action to goal

Access, correct, export, object, delete or close an account using the current route.

EVIDENCE

Keep a clean record

Save dates, confirmations and policy versions without reposting sensitive content.

26 DISTINCT QUESTIONS

One clear intent per guide.

Each page answers a separate data-control question, names its sources and marks the limits of what public evidence can prove.

Map7 focused guides
Minimize6 focused guides
Control8 focused guides
Evidence2 focused guides
Compare2 focused guides
METHOD SOURCES

The framework starts with public guidance.

These sources support the homepage method. Product-specific pages separately label provider statements and the date checked.

OPTIONAL SERVICE CASE STUDY

See the checklist applied to Candy AI.

We review dated public product and policy material. We do not claim a private account test, certification, complete deletion or guaranteed confidentiality.

Read the independent case study
Data control checklist card with collection, sharing, rights and retention rows