#IPO Example Vault

LifeOS Pro IPO Vault is for knowledge work as a production line: collect input, process it through themes, and turn it into output.

#Start With the Whole Vault

After opening the vault, start from the pinned README and TASK notes. The left Library view exposes the full IPO pipeline: 1. Input/ stores raw material, 2. Themes/ handles judgment and processing, and 3. Output/ stores publishable or deliverable work.

#Open a Theme

2. Themes/personal-brand-wot-sharing-meeting/ shows how material moves into a processing layer. The theme index gathers context and decisions, while outlines and draft notes can later flow into output. In day-to-day use, avoid turning every input into a final artifact immediately; let themes do the thinking work first.

#Run It in 15 Minutes

1. Create Aino User Feedback - Example Vault Onboarding.md under 1. Input/.
2. Add three feedback points: users do not know which template to choose, how to use AI, or where output should live.
3. Create Example Vault Onboarding Experience.md under 2. Themes/.
4. Link the input to the theme and write one judgment: users need scenario-based template choice.
5. Create Aino Example Vault Selection Guide.md under 3. Output/.
6. Ask the right-side AI panel to generate an outline from the input and theme.

#What to Read Next

• Theme Notes — Use themes as the processing layer between input and output.
• Connection — Link input, themes, and output with tags and wikilinks.
• Retrieval — Find material through index files, tags, and search.
• Built-in Browser and Clipping — Capture web material directly into the input layer.
• AI Chat — Generate outlines from input and theme context.