speaking

What problem does it solve?

Generates RLM-isolated follow-up messages enriched with chronicle events around each user's last feedback date, enabling more contextually grounded outreach and better score movement explanations.

Core Features & Use Cases

• Golden-path workflow to produce context-rich follow-ups per user canvas.
• Inject temporal context from chronicle around last feedback date to explain score movements.
• Cognition checks per user and per-canvas assessment to determine readiness for follow-up.
• Batch generation with per-user customization via cognition and chronicle data.
• Integrates with /follow-up truename to deliver isolated prompts for subagents.

Quick Start

Run the /speak workflow to generate context-rich follow-ups for all active canvases using chronicle data.