Documentation

Analytics

Throughput, execution history and where time and tokens actually go.

Analytics covers what your organization is producing and what it costs. Find it under Analytics, with an Executions view for individual runs.

Throughput

How much work is completing over time.

Read it against queue depth, not on its own. Flat throughput with an empty queue means demand is flat. Flat throughput with a growing queue means you are capacity limited — a different situation with a different fix.

Activity

Every run, with its duration, iterations, token usage and cost, is listed under Settings → Activity.

Iterations are the most diagnostic number available. A task that took many iterations struggled — it was under-specified, the codebase was hard to navigate, or verification kept sending it back. Duration alone cannot distinguish those from "there was simply a lot to do".

When a task costs more than expected, open its execution trail before concluding anything about model pricing.

The three ratios worth tracking

Rework rate. What proportion of tasks go back to the developer after review. Rising rework almost always traces to specification quality — see Specifications.

Queue time against execution time. Which one dominates tells you whether to buy capacity or change how you scope work.

Spend against merged work. The honest efficiency measure. Spend rising alongside delivery is the system working; spend rising without it means something is being wasted.

Attributing cost

For spend specifically, the billing views break usage down by project and agent — see Usage and reports. One project is usually responsible for a disproportionate share, and that is where a fix pays back most.

A recurring summary

For a summary that runs on a schedule rather than one you remember to run, see Reports.