Written by Daylogue Editorial Team. Published August 31, 2026. Reviewed and updated August 31, 2026.
Using a private AI journal in Daylogue begins with accurate expectations about what privacy means. Synced entries are readable by the service so requested narratives and patterns can work; they are not end-to-end encrypted. A beginner can reduce identifying detail, review current processing terms, or keep a scene elsewhere before saving.
Privacy is a set of boundaries, not a mood
The word private can mean no public feed, restricted account access, encrypted transport, local-only storage, or end-to-end encryption. Those are different claims. A person choosing an AI journal needs the actual account, server, model-processing, support-access, legal-process, export, deletion, and retention terms rather than a single reassuring adjective.
Questions worth answering before sharing
Before saving sensitive writing, it may help to know where the entry is stored, which requested features read it, which subprocessors receive it, and what controls are available. The answer can affect how much detail belongs in the service. Declining to save a scene is a valid privacy choice, not a failure to use the journal correctly.
01
Identifying the kind of sensitivity
Names, work secrets, health context, location, and another person’s story create different concerns.
02
Reading the current path
Storage, AI processing, voice processing, and support access should be considered separately.
03
Reduce what is not needed
A role, initial, or generalized setting may preserve the reflection with less identifying detail.
04
Deciding before syncing
The entry can be shortened, moved offline, or left unsaved when the terms do not fit.
Keeping the reflection while reducing identifiers
A reflection about a work conflict can omit the company, project, customer, and colleague names while preserving the personal point. A relationship entry can use roles or initials. Minimization is not perfect anonymity, and context can still identify people. It simply avoids storing details that the writer does not need for their own later understanding.
- No public feed is not end-to-end encryption
- TLS protects transit, not service readability
- No AI mode still uses synced storage
- Deletion includes stages and exceptions
No AI mode is not a local-only vault
No AI mode can limit new content from being sent to supported AI and voice services, but it does not make synced storage local-only or end-to-end encrypted. Rules-based features require separate choices and eligible structured fields. A private-journal decision needs this narrower wording rather than assuming a switch makes Daylogue unable to read content.
| Privacy question | What to verify |
|---|---|
| Can the service read synced text? | Current storage and processing disclosure |
| Does a mode keep content local? | Exact behavior of that account setting |
| Who else may process it? | Current subprocessor list and feature path |
| When is deletion complete? | Grace period, active systems, and retention limits |
Deletion and retention need their full wording
Account deletion includes a grace period and then a phased process across active systems, backups, processors, billing, audit, legal, and authorized sharing paths. A single fixed-day promise would hide those differences. The full policy supplies the current lifecycle, exceptions, and rights process, which can change how a person plans an export or departure.
These distinctions can serve as a pre-save check: synced, readable, No AI, and phased deletion answer different questions. The full policy, not a slogan, sets each boundary.
The approved privacy language
The clearest summary retains the limitation instead of turning it into a promotional promise. Daylogue is a system for self-understanding. Daylogue reads the entries you choose to sync to create narratives and surface patterns. Entries are not end-to-end encrypted. No AI mode still syncs content and is not a local-only or end-to-end-encrypted mode. Vault storage does not make the service unable to decrypt content.
Decision Table
Private AI journal boundary check
A decision aid for matching the sensitivity of an entry to current storage, processing, and retention terms before syncing.
- What detail makes this entry sensitive?
- Does the full name need to appear?
- Which requested feature will read it?
- Which service path may process it?
- Would a generalized scene still be useful?
- Does No AI mode fit this use?
- Is an export needed before deletion?
- Would offline writing be the better boundary?
Common questions
Are Daylogue entries end-to-end encrypted?
No. Synced entries are service-readable so requested features can operate.
Does No AI mode keep entries only on my device?
No. It changes eligible AI processing for new content but does not make storage local-only.
Can identifying details be reduced?
Yes. Roles, initials, or a generalized scene may preserve the reflection with less detail.
Does deletion happen everywhere on one day?
No. The current policy describes a grace period, phased deletion, processors, backups, and exceptions.
Where can current terms be checked?
The Privacy Policy, subprocessor list, and relevant feature disclosures carry the operative details.
Sources
Sources were checked on the dates shown. Product details and policies can change.
- Daylogue evidence and methods · Daylogue · checked August 31, 2026
- Daylogue privacy policy · Daylogue · checked August 31, 2026
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