Knowledge Base
Deciding.org's open library on organizational decision-making, decision governance, and structured AI-assisted reasoning.
The Deciding.org Knowledge Base is a public library of frameworks, research, and practices for organizations that want to make consequential decisions more rigorously.
It covers three areas: the methodology behind framing-first decision-making, the research on decision governance and decision debt, and the AI-assisted workflow practices that compound decision quality over time.
Methodology
The core frameworks — framing-first decision-making, the multi-model council, and the five-phase structured workflow.
Decision Governance
Research and frameworks on decision debt, timing, upstream failure, and institutional risk.
Thought Leadership
Position papers on decision infrastructure, the Decision OS, and why this is a different category from AI assistants.
AI Practices
Practical guides for structured multi-model workflows in planning, critique, and implementation.
Connect via MCP
The Knowledge Base is available as a Model Context Protocol server at https://learn.deciding.org/mcp.
Add it to any MCP-compatible AI tool — Claude Code, Cursor, Windsurf, or similar — to have the full methodology available as live context while you work.
Claude Code:
{
"mcpServers": {
"deciding-kb": {
"type": "http",
"url": "https://learn.deciding.org/mcp"
}
}
}Cursor (~/.cursor/mcp.json or .cursor/mcp.json in your project):
{
"mcpServers": {
"deciding-kb": {
"url": "https://learn.deciding.org/mcp"
}
}
}Once connected, the server exposes three tools:
list_kb_articles— browse all articles with metadataget_kb_article— fetch any article by slugsearch_kb— lexical search across all articles
All tools are read-only. No authentication required.