Life State Map
An AI workbench that organizes life experiences into a state map.
Life graph
Life timeline
Current state
State signals
Missing context
The next useful move is to fill the missing state on the career transition node.
The problem it solves
Keep experiences, emotions, career choices, and relationship changes from being scattered across chats and memory.
Collect fragments from chats, notes, and memory into one viewable, editable graph, so important events and their state context stay together.
Experiences stop scattering
Put learning, work, relationships, health, and turning points back on one timeline.
State becomes traceable
Add emotion, energy, pressure, support, and other state signals to important moments.
Choices keep their context
Career choices, relationship changes, and long-running questions become reusable life context.
Problem
Put scattered life fragments back into one graph
Record what happened, fill in the state around it, and keep the next useful question visible.
Life graph
Life timeline
Current state
State signals
Missing context
The next useful move is to fill the missing state on the career transition node.
How it works
Write an experience -> AI understands event, state, and impact -> confirm into the life map -> accumulate long-term life context
You stay in control at every step: let AI or local rules understand the event, state, and impact, then decide whether it belongs in the map.
How it works
You stay in control at every step: let AI or local rules understand the event, state, and impact, then decide whether it belongs in the map.
- Write one real experience
- AI understands event, state, and impact
- Confirm it into the life map
- Accumulate long-term life context
Write one real experience
AI understands event, state, and impact
Confirm it into the life map
Accumulate long-term life context
Life timeline
01
02
03
04
You stay in control at every step: let AI or local rules understand the event, state, and impact, then decide whether it belongs in the map.
Current scope
Local saving, AI or local mock generation, understanding cards, timeline, state completion, life pattern insight, and JSON import/export.
This MVP focuses on one stable browser-local loop: write, understand state and impact, confirm, complete state, generate insight, save, import, and export.
What it can do now
Local saving: confirmed updates are saved in the current browser.
AI or local simulation: use a model when an API key is available, otherwise use local mock generation.
Experience understanding cards: organize an entry into event, state, and impact.
Timeline state map: keep life nodes in a viewable graph you can inspect and follow up on.
State completion: add agency, stability, load, connection, and meaning after confirmation.
Life pattern insight: after 3+ nodes, generate repeated situations, choice patterns, high-cost sources, and a next question.
Import / export JSON and export Markdown: back up the graph or copy life context into another AI.
API key settings: configure an OpenAI-compatible model provider.
What it cannot do now
No cross-device sync yet.
No multi-person collaboration or account-level sharing yet.
No medical, legal, or investment judgement.
Not a replacement for therapy, career counseling, or financial advice.
Start your state map with one experience
Start with one recent experience, let AI understand the event, state, and impact, then confirm it into the map.