Experiment design for future bets

Problem

The context catalog roadmap includes ambitious future capabilities — advanced relationship inference, cross-product metadata sharing, real-time enrichment — but there is no framework for validating these ideas before committing major engineering investment. Without designed experiments that can test key assumptions cheaply (e.g., "does AI agent accuracy improve with relationship metadata?"), the team risks either building expensive features that don't move metrics or indefinitely deferring promising ideas because the risk feels too high.

Context

Possible Solutions

Plan

Implementation Progress

Review Feedback

• Review cleared