Decision Trace Logging CLI
How do we capture the invisible layer of reasoning before it dies in Slack or agent memory?
The Invisible Layer— Why Systems of Record are incomplete
Decision Journal— The Context Graph node schema
Spec Contract— The engineering boundaries
Scorecard
| Dimension | Score | Evidence |
|---|---|---|
| Pain | 5/5 | Critical decision reasoning is lost hourly in Slack/Claude, causing repetitive work and poor handoff. |
| Demand | 5/5 | Agents and humans both need a standardized way to log "why" they did something for future auditability. |
| Edge | 4/5 | We focus on tracing the decision (the "why"), while incumbents focus on data state (the "what"). |
| Trend | 5/5 | As autonomy scales, queryable precedent is the only way to govern effectively. |
| Conversion | 4/5 | Foundational infrastructure for the Business Platform. |
| Composite | 2000 | Build Now |
Context
- Prompt Deck — The 5 Slide pitch
- Context Graph — The underlying memory layer
- VVFL Evolution — The controller output as a trace
Questions
If an agent makes a $5,000 architectural choice today, how will we know why it chose that path tomorrow?
- When humans bypass the logging CLI, is the friction too high or the incentive too low?
- How much organizational amnesia could we cure if every exception required a 5-second trace?