How do I keep my AI conversations private?

Most AI conversations leak by default. Here is a practical guide to actually private AI — without paranoia.

What actually leaks in a typical AI conversation

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• The full prompt and response are visible to the LLM provider in the hot path
• For wrapped apps, the data crosses both the wrapper and the upstream LLM
• Conversation history may be retained for "service improvement" (varies)
• Some providers train on user data by default unless you opt out
• Voice and image inputs carry more identifying information than text
• Network metadata (IP, time) is logged regardless of the LLM provider's policy

The four levels of AI privacy

Level 1: third-party LLM with default settings (most apps). Some retention, possible training. Level 2: third-party LLM with training opt-out and limited retention (Claude.ai with Privacy Mode, ChatGPT Team). Better. Level 3: sovereign AI (Luna, mid-size open-model providers). No third-party LLM in the hot path. Level 4: on-device AI (Apple Intelligence on-device tier, Ollama locally, Heaven Code Studio's local LLM). Zero network in the conversation path. Pick the level the conversation deserves.

What to ask any AI provider

Three questions: (1) Which LLM API is in the path of my conversation? (2) Are my conversations used for training, and is there an opt-out? (3) How do I delete my data, and is deletion verifiable? Honest providers answer cheerfully. Evasive providers tell you something useful by their evasion.

Where on-device AI now wins

In 2026, on-device LLMs (Apple Intelligence, llama.cpp on Mac, Heaven Code Studio's WebGPU local LLM) are good enough for many real conversations. For your most sensitive topics — relationship questions, medical concerns, financial decisions — running locally means the conversation literally cannot leak through a provider. Hybrid systems (local for sensitive, cloud for hard) are now practical.

Luna's privacy architecture

Sovereign by default — no third-party LLM in the hot path. Your conversation is processed by the Heaven Quantum Cortex on Heaven Eco Hub's own infrastructure.

Memory Pods are encrypted, exportable on request, deletable on request. Luna does not train on your conversations by default.

For deeply private work, Luna ships an on-device LLM in Heaven Code Studio (WebGPU on capable browsers). For the conversational tier, you can opt into Standalone Mode for maximum privacy.

Have a private conversation with Luna →

Related questions people ask

Is ChatGPT private?

ChatGPT's default mode logs conversations and previously trained on them; ChatGPT now offers a training opt-out and a Temporary Chat mode. Even with these, conversations transit OpenAI's infrastructure. For sensitive topics, sovereign or on-device alternatives are structurally more private.

What is the most private AI in 2026?

For absolute privacy, locally-run open-weight models (Llama, DeepSeek, Mistral) on hardware you own — no network involved. For excellent privacy with a polished product, sovereign systems including Luna are the best balance. For mid-tier privacy with frontier capability, Claude.ai's Privacy Mode or Apple Intelligence's on-device tier are reasonable.

Are encrypted AI conversations possible?

Encrypted at rest and in transit — yes, standard. End-to-end encrypted where the operator cannot read — only possible with on-device inference. Server-side AI necessarily reads your messages to respond; the question is which operator and under what controls.

Should I use AI for legal or medical conversations?

With care. AI can be a useful first pass for understanding a situation. It is not a substitute for a lawyer or doctor. For privacy: use a sovereign or on-device AI for anything you would not want to surface in a deposition. For accuracy: verify any specific advice with a qualified professional.