| Loop & cost accounting | Every session and autonomous loop run in one of the six supported agents is attributed to an owner by AI Drivers, cost and outcome included; AI ROI rolls that up into an org-level net dollar figure, net of the AI Tax. | Software Factory audits its own pipeline for compliance, including sessions run through its Cursor and Claude Code MCP integration, but doesn't publish a cost-versus-outcome model for that agent work. |
| Session quality scoring | Every session is scored directly against six coachable dimensions: clarity, specificity, context, actionability, completeness, efficiency. | Software Factory governs and audits its own build process (requirements, blueprints, work orders); it doesn't publish a session- or prompt-quality score for the engineer directing the work. |
| Weekly coaching loop | The engineer who ran the session gets a Session Quality Score every week, visible only to them and their org's admins, never a cross-engineer ranking. | No coaching signal published for the individual engineer or agent operator; its product surface is process governance and audit trail. |
| Harness improvement & enforcement | A vetted, pre-filtered base of skills, sub-agents, and rules, curated by a recommendation engine, is what the Harness Control Plane publishes to every engineer's machine across the four coding agents it enforces on (Claude Code, Cursor, Codex, and Kiro), tracking who has converged on it and who hasn't. | Software Factory's MCP integration lets Cursor and Claude Code pull Work Order context, but it doesn't publish a harness baseline or track per-engineer install status for those agents. |