| Loop & cost accounting | Every autonomous loop across the six agents it supports is attributed to an owner by AI Drivers, with its runs, cost, and outcome; AI ROI converts that into an org-level net dollar figure, net of the AI Tax, a disclosed formula. | The AI Productivity Guarantee converts estimated productive hours to a dollar value against ACU spend, real progress past a raw consumption meter, though Cognition itself says this isn't full business ROI. |
| Session quality scoring | Six coachable dimensions (clarity, specificity, context, actionability, completeness, efficiency), scored from the session that assigns the task, as a durable signal across every session the engineer runs. | Session Insights analyzes a completed session and generates a rewritten prompt for that same task, real per-task feedback, but not a structured, durable score across sessions. |
| Weekly coaching loop | Every week, the engineer who ran the session gets their own Session Quality Score back, visible only to them and their org's admins, never used for cross-engineer ranking. | Session Insights is generated on demand, per completed session; it isn't a standing weekly signal delivered to the engineer as a person. |
| Harness improvement & enforcement | A recommendation engine curates a vetted, pre-filtered base of skills, sub-agents, and rules; the Harness Control Plane pushes that baseline to every engineer's machine across the four coding agents it enforces on (Claude Code, Cursor, Codex, and Kiro), and tracks each one's install status. | Devin's own settings configure Devin itself, which sits outside those six agents; there's no publish mechanism or install-status tracking for harness config there. |