growing

What problem does it solve?

Reviews and orchestrates the growth-loop lifecycle by validating proposed matches, updating hypothesis confidence, executing decay, and surfacing growth changes in a controlled, operator-verified pipeline.

Core Features & Use Cases

• Operator-confirmed review of proposed growth matches to ensure signal quality is correctly attributed.
• Per-user isolation during classification to preserve context and avoid cross-user leakage.
• End-to-end growth state management: update confidence, decay aging hypotheses, and surface actionable growth patterns for multi-user programs.
• Cross-user pattern discovery to surface systemic growth signals and decay trends across the cohort.

Quick Start

Run the growth loop for all users with /grow or target a single user with /grow --user <user> and allow operator confirmations during the review steps.