Single-run dashboard for agent behavior: harness activity, prompt carry-forward, and direct search, edit, and test burden.
Compact signals for long-run dynamics, with direct lower-is-better search and verification counts.
Direct counts for files before the first edit, edits before the first pass, tests before the first pass, tests after the first pass, and retry bursts. Lower is usually better.
Wall-clock bursts for controller, model, workspace, and runtime so you can see which layer actually held the run over time.
Raw counts of what came after each feedback category once routine execute spans were collapsed into their observed outcomes. This keeps the heatmap aligned with the more legible categories like edit, file content, test failure, test pass, retry, wait, and finalize.
One dense Sankey combining inspect, edit, test failure, and test pass anchors in a single view. It is less readable than the selector, but useful for spotting the overall balance of branches across all anchor types at once.
Choose a high-value anchor like inspect, edit, test failure, or test pass. The chart then shows the next two meaningful nodes after that anchor while skipping plan and overhead and collapsing routine execute steps into their observed outcomes. finalize is allowed as an endpoint, but not as a starting anchor.
Observed active time, burst lengths, and layer-to-layer handoffs. Active-time shares are relative to full run time and can overlap when layers were active concurrently.
Each bar shows one event positioned by time, colored by dominant action type.
Each bar is normalized to 100% so you can see whether a prompt was mostly fresh task/context, replayed prior context, cached prefix reuse, or tool output. Hover for raw token counts.
Observed movement between the most-touched files in the run, filtered down so the main repo navigation path stays readable.
Only the harness-side steering actions: plan updates, retries, waits, interruptions, and finish. This is not ordinary file reading, editing, or testing work.
Click a chart row or choose a step to inspect the exact command, feedback, prompt, and control metadata.
Tokens and progress measures over the trajectory, useful for spotting churn versus convergence.