+
+
+
lead-orchestrator
+
model-builder
+
delivery ~/projects/mnist-delivery
+
+
+
+ P1 data review ✓
+ P2 input representation ✓
+ P3 model design ✓
+ P4 ● training & iteration
+ P5 analysis
+ P6 packaging
+ workflow deep_learning
+
+
+
zo-mnist-20260712-091412 · pane p12 — lead-orchestrator (opus) · claude code
+
+● Read(.zo/experiments/exp-003/metrics.jsonl)
+ ⎿ 6 entries · last {"epoch": 6, "train_loss": 0.0341, "val_acc": 0.9871}
+
+exp-003 "wider conv + rotation aug" (parent exp-002) is at epoch 6/8 on mps.
+Best val_acc 0.9883 came at epoch 5 — watching for regression before epoch 7.
+
+● SendMessage(to: model-builder)
+ "Continue exp-003 through epoch 8. Val plateaued at 0.9871 (best 0.9883 @5).
+ Checkpoint best weights under .zo/experiments/exp-003/ and hold exp-004
+ until oracle-qa re-runs the held-out set."
+
+● Read(.zo/runtime/training_status.json)
+ ⎿ {"exp": "exp-003", "epoch": 6, "of": 8, "device": "mps", "eta_min": 4}
+
+● Update Todos
+ ⎿ ☒ phase_2 input representation — human gate passed 07-11
+ ☒ phase_3 model design approved · exp-003 launched (wider conv + rot aug)
+ ☐ monitor exp-003 through epoch 8 — training-checker watching metrics
+ ☐ run oracle: test_accuracy vs must ≥0.95 · should ≥0.98 · could ≥0.99
+ ☐ assemble phase_4 → phase_5 gate packet (supervised)
+
+Checkpoint noted at epoch 5 (val_acc 0.9883) — retained as best.
+training-mnist-cnn-checker reports train/val curves converging, no divergence.
+
+Next: read epoch 7 from metrics.jsonl, then decide on early stop vs full run.
+
+● Waiting on epoch 7 · ETA ~4 min
+
+
+
+ COMMS
+ OUTPUT
+ TERMINAL
+ logs/comms/2026-07-12.jsonl
+
+
+
+ 09:38:05
+ checkpoint
+ model-builder saved epoch-5 weights — val_acc 0.9883 retained as best · .zo/experiments/exp-003/
+
+
+ 09:41:36
+ message
+ lead-orchestrator → model-builder — continue exp-003 through epoch 8, checkpoint best weights before exp-004
+
+
+ 09:42:10
+ decision
+ lead-orchestrator — hold exp-004 until oracle re-runs held-out set · logged to DECISION_LOG
+
+
+ 09:42:58
+ gate
+ oracle-qa — phase_4 → phase_5 pre-check: test_accuracy 0.9912 → tier could_pass (must ≥0.95 · should ≥0.98 · could ≥0.99)
+
+
+
+
+
+