| T1.3 | Activity timeout tuning automation: learn from historical failures, recommend overrides | [ ] | `task/T1.3` | Planner reads lessons file, suggests `update-tuning` signal based on patterns |
| T1.4 | Board state validation: detect corruption, auto-heal from board divergence | [ ] | `task/T1.4` | Corrupt board file recovered without manual intervention |
| T1.5 | Workflow pause/resume with state snapshot: serialize mid-cycle state to persistent store | [ ] | `task/T1.5` | Pause signal, restart pod, resume signal → workflow continues from exact point |