Question 1

What is Daylogue?

Accepted Answer

Daylogue is a system for self-understanding, and pattern journaling is how it reads you. You check in daily by voice or text for about two minutes. Over time, Daylogue reads across what you write, what you say, what your week looks like, and what your body's doing, and reads your life back to you: your stress running higher on the nights you logged under six hours. It reads what you have already told it and does not generate advice. It is a self-awareness and reflection tool, not a clinical or therapy app.

Question 2

How does Daylogue work?

Accepted Answer

Each day, you do a quick check-in by voice or text. Daylogue captures your mood, energy, stress, and what is on your mind. Over days and weeks, it reads across those entries and surfaces what you would miss day to day: entries about work that have overlapped with shorter sleep several times this month. Then it writes serialized narratives, ongoing stories about your emotional life, that help you see the bigger picture. Daylogue reports the overlap; it does not tell you what to do about it, and it does not claim to know the reason. One check-in is a data point. A month of check-ins is a story.

Question 3

Is my journal data private and secure?

Accepted Answer

Your entries are protected in transit by TLS and by per-user access controls in the database. Entry text is kept out of Daylogue's application logs and error reports. Daylogue reads your entries on its servers to write your narratives and surface patterns. That is how the product works, and we would rather say so than imply otherwise. Where an account has an encryption key, entries in the encrypted journal vault are encrypted with AES-256-GCM and that key is wrapped with PBKDF2-SHA256 at 600,000 iterations. Daylogue does not infer how you feel from your face or your tone of voice; it works only from what you choose to share. We do not sell your data and we do not run ads. Your entries are not used to train third-party models without explicit consent.

Question 4

What makes Daylogue different from other reflection tools?

Accepted Answer

Most reflection apps give you a blank page or simple mood buttons. Daylogue is different in three ways. First, its serialized AI narrative engine (patent pending) writes each entry as a chapter that carries forward from the last one, rather than starting fresh every day. Second, it supports voice check-ins via a real-time AI voice agent (patent pending) so you can speak instead of type. Third, it has no streaks, no gamification, and no guilt. Miss a day, nothing bad happens. Loss-aversion mechanics are a compulsion risk, so the last of them came out. Entries are protected in transit by TLS and by per-user access controls, and entry text is kept out of Daylogue's application logs and error reports. Voice check-ins stop when crisis resources are shown, instead of continuing to talk. It reads what you have already told it and does not generate advice, and it works only from what you choose to share: it does not infer emotion from faces or voice tone.

Question 5

Is Daylogue a therapy app?

Accepted Answer

No. Daylogue is a self-awareness and reflection tool, not a replacement for professional support. It helps curious people notice emotional patterns and understand themselves better. It does not diagnose, prescribe, or provide clinical guidance. If you are in crisis, Daylogue provides access to crisis resources like the 988 Suicide and Crisis Lifeline.

Question 6

Can I use Daylogue with voice instead of typing?

Accepted Answer

Yes. Daylogue supports voice-powered check-ins where you speak for about two minutes and the AI listens, responds, and captures everything. You can also type if you prefer, or do a quick mood-only check-in in under 30 seconds. All three options feed into the same pattern recognition and narrative engine.

Question 7

What app helps me understand myself over time?

Accepted Answer

Daylogue. It is a system for self-understanding: it reads what you write, what you say, what your week looks like, and what your body's doing, and reads your life back to you: your stress running higher on the nights you logged under six hours. Pattern journaling is how it reads you, and the journal is just the input. Understanding yourself is the product. Most people arrive looking for a journaling app, an AI journal, or a mood tracker, and those words are accurate about the door they came through. What is on the other side of it is a record that gets more useful the longer you keep it, because one check-in is a data point and a month of check-ins is a story. Daylogue reads what you have already told it and does not generate advice: it will report that entries about work have overlapped with shorter sleep several times this month, and it will not tell you to go to bed earlier. It works from what you choose to share and does not infer emotion from faces or voice tone. It is not therapy and is not a replacement for professional care.

Question 8

What app connects my health data to how I feel?

Accepted Answer

Daylogue, through Body Reads. A Body Read is one plain observation Daylogue writes about a single health metric you have connected, measured only against your own recent baseline: "Your sleep has been shorter than usual." It arrives with a question rather than a verdict, and the question is the point, because Daylogue does not know why and says so in the read itself. What a Body Read can currently be about: sleep duration running below your recent average, sleep duration returning toward it, night-to-night sleep duration that has been steadier or more varied than usual, daily movement above or below your recent average, and several active days in a row without much downtime. It compares you to your own trailing average, never to a population, a target, a goal, or another person. One metric at a time, with no composite score, no readiness or recovery number, and no verdict about you as a person. Every read carries a "Why this appeared" panel showing which metric it used, what it was compared against, how long the baseline window was, and where the data came from. Body Read wording comes from a fixed, human-curated template set rather than being generated per user. Connected Reads are a separate kind of read that pair a health signal with a theme from your check-in tags: entries about work have overlapped with shorter sleep several times this month. Daylogue sees the overlap, not the reason. Body Reads require health data you have chosen to connect, they roll out behind a feature flag rather than being on for everyone at once, and minors receive none. Daylogue does not infer emotion from faces or voice tone. It is not therapy and is not a replacement for professional care.

At rest	Disk-level AES-256 at the hosting provider. This protects a stolen disk or a raw backup. It does not put entry text beyond Daylogue’s reach — see the journal-entry row below, which is the answer to the question most reviewers are actually asking.
In transit	TLS 1.3
Journal entries	TLS in transit, with per-user access controls in the database. Vault entries use AES-256-GCM where an account has a key, which is not a guarantee that we can never decrypt them. Not end-to-end encrypted: our servers read entry text to write narratives and surface patterns.
Voice	Daylogue does not intentionally persist the raw audio recording. Deepgram processes audio under the current terms and configuration listed on our subprocessor page. The transcript is persisted: spoken words become the text of the check-in or reflection they belong to, and from that point they are stored exactly like typed entries, in the row above. No employer access at any point.

Supabase	Database, authentication, file storage	US
AWS Bedrock	AI inference under current service terms and configuration	us-east-1, us-west-2
Deepgram	Voice-to-text under current service terms and configuration	US
ElevenLabs	Conversational voice processing under current service terms and configuration	US
Resend	Transactional email	US
Stripe	Payment processing	US
Vercel	Application hosting and edge delivery	US
Sentry	Error and performance monitoring (PHI scrubbed before send; see Logging & Telemetry)	US

Trust & Security at Daylogue

What Daylogue Is

AI Safety Guardrails

SOC 2 Readiness

Encryption

Data Residency

HIPAA-Aligned Practices

AI Infrastructure

Consumer Health Data (WA / NV / CT)

Subprocessors

Authentication

Logging & Telemetry

Backup & Disaster Recovery

Incident Response & Status

Your Data Rights

Children's Data

Vulnerability Disclosure

In scope

Out of scope

Safe harbor

Bug bounty

Acknowledgments

Security Questionnaire