Privacy-First AI: Why It Matters More Than Ever

The Privacy Dilemma

AI products often require extensive data to function well. Your conversations, preferences, and behaviors all become training data for better personalization. But at what cost?

Why Privacy Matters in AI

Your Data Is Valuable

Tech companies profit from your data through advertising and model training. Every interaction feeds their systems and revenue streams.

AI Amplifies Privacy Risks

Unlike traditional apps, AI can infer information you never explicitly shared. A few conversations might reveal your health concerns, political views, or financial situation.

Trust Is Foundational

For AI to be truly useful, you need to trust it with sensitive tasks. That trust requires confidence in how your data is handled.

What to Look For

When choosing AI products, consider:

No tracking pixels – Many apps embed invisible trackers

Local processing – On-device AI keeps data on your phone

Clear privacy policies – Transparent data handling practices

No ad-based models – Advertising incentivizes data collection

The Prism Commitment

At Prism, we built privacy into our foundation:

• No ad trackers – no ad SDKs or ad pixels; we use product analytics (PostHog in the app, DataFast on this site) only to improve Prism
• No advertising model that monetizes your attention
• Minimal data collection – what's needed to deliver your digest, plus the product analytics described in our privacy policy
• Transparent practices – our privacy policy is written in plain language

Great AI products don't require compromising your privacy.