Decision Rain Library Project is a template for using Raindrop as a decision library — not just a bookmark manager. Instead of saving links and forgetting them, you capture a short structured review for each one: what it is, why it might matter, what is known, what is uncertain, and what the next step should be. The system is designed to work with ChatGPT or any AI assistant connected to Raindrop. The AI proposes; you decide.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/XxYouDeaDPunKxX/decision-rain-library-project/llms.txt
Use this file to discover all available pages before exploring further.
What Is This?
Understand the purpose and philosophy of the Decision Rain Library system.
How It Works
Follow the link-to-decision loop: save, inspect, review, decide.
Setup Guide
Create your Raindrop collection structure and connect your AI assistant.
Daily Usage
Learn the day-to-day operating loop for capturing and processing signals.
The Core Idea
Collection Structure
Five named collections: SYSTEM, INBOX, REVIEW, LIBRARY, ARCHIVE.
Tag Registry
Controlled tag families — status, truth, fit, next, authority, and more.
Note Template
The eight-field format every reviewed entry must follow.
Agent Contract
Rules governing what the AI may do — and what only you can decide.
What You Get
A structured collection layout in Raindrop
Five collections —
00_SYSTEM, 00_INBOX, 10_REVIEW, 20_LIBRARY, 90_ARCHIVE — each with a defined role in the ingestion pipeline.A controlled tag taxonomy
Twelve tag families with approved values. No free-form tags like “interesting” or “maybe” — only interrogable tags like
status/core-good, truth/plausible, and fit/free-tier-real.A repeatable note format
Eight fields — Cataloged, Verdict, Next, Claim, Evidence, Authority, Truth, StackFit — that make every entry scannable and decision-ready.
This project is an independent user-created template. It is not affiliated with, endorsed by, or sponsored by Raindrop.io.