Prompt de AI para convertir cualquier política de privacidad en una lista de riesgos
Why this prompt matters
Most privacy policies bury the important tradeoffs in dense legal language. This prompt turns them into an actionable checklist so readers can spot retention risks, tracking, and weak controls faster.
What we use it for
Audit a privacy policy, terms update, or app sign-up flow before you click accept.
Prompt
You are a privacy analyst helping a non-lawyer understand a privacy policy. Read the policy text below and turn it into a practical risk checklist. Tasks: 1. Summarize what data is collected, what data is inferred, and what data is shared with third parties. 2. Flag any language that suggests broad data retention, vague consent, cross-service tracking, model training use, or sale/sharing for advertising. 3. Extract every user control mentioned, such as opt-out, deletion, export, consent withdrawal, and account settings. 4. Rate the policy on five dimensions from 1 to 5: transparency, user control, data minimization, third-party sharing, and retention clarity. 5. Produce a table with columns: Topic, What the policy says, Risk level, Why it matters, What the user can do. 6. End with: - Top 3 red flags - Top 3 reassuring signals - Questions I should ask before I agree Rules: - Quote short relevant snippets where helpful. - If something is missing or ambiguous, say that clearly. - Do not give legal advice. - Write in plain English for a smart general reader. Privacy policy text: [PASTE THE POLICY HERE]
Result
Top red flag: The policy allows sharing behavioral data with advertising partners without clearly defining retention limits.
Generated Image
Las políticas de privacidad son el lugar donde los productos explican qué datos recogen, cuánto tiempo los conservan y con quién pueden compartirlos. El problema es que casi nadie tiene tiempo para descifrar ese lenguaje cada vez que instala una app o se registra en un servicio.
Ahí es donde entra este prompt. Pega una política de privacidad y pídele a un modelo de AI que la convierta en una lista práctica con riesgos, controles y vacíos importantes explicados con claridad.
Ideal para
Revisar registros de apps, actualizaciones de términos en servicios SaaS, políticas de extensiones de navegador y avisos de privacidad de herramientas de AI.
Modelo
GPT-5 o Claude 3.7 Sonnet
Prompt
You are a privacy analyst helping a non-lawyer understand a privacy policy. Read the policy text below and turn it into a practical risk checklist.
Tasks:
1. Summarize what data is collected, what data is inferred, and what data is shared with third parties.
2. Flag any language that suggests broad data retention, vague consent, cross-service tracking, model training use, or sale/sharing for advertising.
3. Extract every user control mentioned, such as opt-out, deletion, export, consent withdrawal, and account settings.
4. Rate the policy on five dimensions from 1 to 5: transparency, user control, data minimization, third-party sharing, and retention clarity.
5. Produce a table with columns: Topic, What the policy says, Risk level, Why it matters, What the user can do.
6. End with:
- Top 3 red flags
- Top 3 reassuring signals
- Questions I should ask before I agree
Rules:
- Quote short relevant snippets where helpful.
- If something is missing or ambiguous, say that clearly.
- Do not give legal advice.
- Write in plain English for a smart general reader.
Privacy policy text:
[PASTE THE POLICY HERE]Por qué este prompt es útil
Obliga al modelo a hacer algo más que resumir. En lugar de una visión general vaga, obtienes una revisión estructurada sobre recopilación de datos, retención, intercambio con terceros y controles del usuario. Eso facilita mucho comparar servicios o detectar señales de alerta antes de aceptar nuevos términos.
Consejo
Para obtener mejores resultados, pega primero las secciones más relevantes, como recopilación de datos, intercambio, retención y derechos del usuario. Después puedes ejecutar la política completa si quieres una revisión más amplia.