taco.cloud AI usage analytics
connecting…
scope: org node(s), k-anon ≥5
Total spend
across categories
Prompts
classified per-prompt
Tokens
input + output
SDLC categories
kinds of work seen

Where the prompts go

What kind of work is coming through — SDLC category by cost & prompt share (the headline).

no data in range

Model alignment

Is the right model used for the task? (e.g. Opus for “1+1” = overkill).

aligned 0 overkill 0 underkill 0

Prompt efficiency

One-shot vs rework vs clarification, per prompt (PES). Descriptive, not a target.

one-shot 0 rework 0 clarification 0

Tools, skills & subagents

What’s being used — incl. subagent spawns (first-class).

no data in range

Spend by org node

Cost attribution by rchain node (manager rollup). k-anon ≥5; your own slice shown to you.

no data in range