A real-data workflow observation: hosted GPT-6 Luna planned and synthesized around deterministic local Watch/Zepp tools. This is not E9, Fusion, a model ranking, or a speed benchmark.
All three valid-data trials passed. Invalid-date handling scored 2/3 under strict reconstructed checks and 3/3 after the documented semantic review.
One run, three trials per case. Strict checks were reconstructed because the historical grader source is missing; they are not an exact replay of that grader.
| Case | Trials | Strict reconstructed | Semantic review |
|---|---|---|---|
| Valid linked-data retrieval and visualization | 3 | 3/3 | 3/3 |
| Invalid-date / missing-data handling | 3 | 2/3 | 3/3 |
| Combined | 6 | 5/6 | 6/6 |
The third invalid-date response explicitly preserved an invalid/empty state. The strict reconstructed check expected an additional wording field and marked it down; the recorded semantic review accepted the explicit false/empty result. Both scores remain visible rather than replacing one with the other.
The source databases remained read-only. The hosted model received task prompts and compact tool-result metadata/counts only: no raw sensor arrays, audio, CSV, or full database was sent. No Alignerr records were selected or sent.
This page intentionally omits database hashes, local mount paths, session identifiers, and raw responses. The audit packet remains local.
12 subscription-backed requests reported 2,557 tokens. Pi's model-price estimate is $0.00054; it is not an API invoice, quota-meter delta, or additional subscription charge.
This is one n=3 run on one hosted model route. It is evidence that this staged workflow completed on this selected data fixture, not a stable model-quality estimate or a comparison against another model.