Automatic memory candidates
Photos, places, routes, links, notes, calendar context, and other owner-approved signals can become memory candidates after processing.
Private memory timeline
Turn everyday traces into memories you can edit, trust, and share.
LifeStory AI helps capture meaningful moments from photos, places, routes, calendar context, shared links, notes, voice, check-ins, and health signals, then turns them into owner-reviewable memories and daily life stories.
Today
Afternoon
I walked from home through nearby areas in the afternoon, taking a little over 40 minutes.
A photo captured a quiet office moment after visual context was processed.
AI-generated example image
Features
A journaling app that starts from evidence, not a blank page.
AI-written feed entries
LifeStory separates raw data, software processing, and writing so visible entries appear only after a proper memory draft exists.
Photo understanding
Images can be analyzed for visual context before the memory is written, with group photos handled as a complete moment rather than isolated snapshots.
Places and journeys
Familiar places, routes, rough travel times, and movement context help produce more natural location memories.
Daily, weekly, and history views
Saved memory entries can roll up into daily and weekly summaries and become a readable personal history over time.
Personal Glossary
Owner-defined people, pets, places, and meanings help LifeStory write naturally about familiar context without exposing it publicly.
People and pet matching
Image recognition can help suggest recurring people or pets in photos, while the owner confirms labels and corrects mistakes.
Weather context
Weather can be added as context around photos, places, and days, so memories can mention conditions without inventing mood or activity.
Sleep and recovery
Sleep records can become morning context and daily summary input, with visual sleep timelines planned for the feed.
Route maps
Walking, running, and travel routes can be shown visually, with distance, steps, and familiar places added as context.
Share editions
Selected memories can be turned into public-safe share versions with optional images, map snapshots, collages, and edited text.
More sources coming
The native rebuild is designed to keep adding useful owner-approved sources without turning every signal into a visible memory.
How it works
Raw capture, local processing, then memory writing.
1
Capture private signals
LifeStory gathers the sources the owner enables: photos, routes, check-ins, shared files, notes, voice, health context, weather, and calendar context.
2
Process and enrich context
Software processing filters noise, groups related items, matches glossary places or people, and prepares context for AI writing.
3
Write memory drafts
AI writing uses raw evidence plus processed context to create natural memory text. Drafts are not the source of truth.
4
Review, correct, archive, or share
The owner can add comments, rewrite, tag, archive irrelevant items, or create public-safe editions for sharing.
Journeys
Routes should explain movement, not spam location points.
LifeStory is moving toward cleaner stay and route understanding: fewer raw location fragments, better walking and travel paths, and more useful summaries such as where a route started, where it ended, roughly when it happened, and how far it was.
Illustrative route example
Map snapshots can be included in memories and share editions.
Sleep and health
Daily stories can include health context without becoming a medical report.
Sleep, steps, walking or running distance, workouts, and related HealthKit signals can help explain the day. The intended use is personal context: what the day was like, what changed, and what should be easy to review later.
7h 34m
sleep example
8,400
steps example
Sleep tracking is planned as a morning memory context and a daily summary input, with clear visuals and owner-controlled permissions.
Personal context
LifeStory gets better when it learns what names and places mean to you.
Personal Glossary turns private owner knowledge into useful writing context. It can connect a recurring location to “home” or “office,” recognize that a pet has a nickname, or help distinguish people who appear in photos.
People
Owner-confirmed labels help future photo memories refer to people naturally.
Pets
Pets can be treated as meaningful personal context, not generic objects.
Places
Saved places can include location tolerance, so arrivals and routes use familiar names.
Weather
Weather is used as supporting context for memories and summaries, not as a standalone assumption.
History
LifeStory is built to become a readable record of lived days.
The Feed is for reviewing individual memories. History is where accepted memories become day, week, month, quarter, and year level stories that are easier to revisit later.
Day
A compact story of what mattered, grounded in saved feed memories.
Week
A broader summary that can connect repeated places, people, routines, and changes.
Longer term
Month, quarter, and year views are intended to make personal patterns easier to see.
Owner control
Private by default. Editable by design.
- Raw evidence, processing context, and written memories are kept conceptually separate.
- AI output is draft material, not an unquestioned record.
- Owner comments and corrections improve future writing instead of only fixing one item.
- People and pet recognition supports owner labeling; it should not silently make identity claims.
- Public sharing uses separate share editions so the private source memory remains unchanged.
Current direction
Native iOS rebuild in active development, available to beta testers by request.
LifeStory is being rebuilt as a native iOS experience focused on reliable capture, better photo and location understanding, AI-written memory drafts, glossary-based personal context, owner feedback, and shareable editions. Early beta access is available by request while the product continues real-device testing.
More to come
The roadmap keeps expanding around better context and better review.
Landmark recognition
Recurring route patterns
Richer share cards
Voice memories
Files and screenshots
Better photo grouping
FAQ
Common questions
Is LifeStory a normal journal app?
It can be used for journaling, but the core idea is different: LifeStory starts from captured context and proposes memory drafts so the owner is not writing from a blank page.
Does LifeStory publish anything automatically?
No. The product direction is private by default. Sharing is an explicit owner action through a separate share edition.
Why use AI at all?
AI is used to turn scattered evidence into natural language. The owner remains the editor, and the original source data remains separate from the written draft.
What can the owner correct?
The owner can rewrite memory text, add comments, apply tags, archive irrelevant items, and use personal glossary context for people, pets, places, and recurring meanings.
How does image recognition work for people and pets?
LifeStory can use image recognition to suggest recurring faces, people, or pets, but labels should be owner-confirmed. The goal is better personal context, not automatic public identification.
Why include weather?
Weather can help explain the setting of a photo, place, route, or day. It should be used as context only, not as a reason to invent how someone felt or what they did.
Is this available now?
LifeStory AI exists as an active native iOS rebuild and real-device development track. It is available to beta testers by request, while this public page remains a basic product preview rather than a full public launch page.
What is the History part for?
History is the longer-term view. Individual feed memories can roll up into readable daily and weekly stories, and later into month, quarter, and year views.