AI audit vs rubric — AI Dropship
An independent Workers AI LLM scored AI Dropship against the same published rubric. The deterministic rubric result is our canonical score. The LLM's result is shown here as a sanity check — never mixed into the scoring formula.
| Dimension | Rubric | LLM | Δ (LLM − Rubric) |
|---|---|---|---|
| Pricing transparency | 84 | 20 | -64 |
| Business transparency | 25 | 0 | -25 |
| Shipping clarity | 80 | 65 | -15 |
| Public reviews | 80 | 75 | -5 |
| Product range | 62 | 55 | -7 |
| Access & onboarding | 85 | 60 | -25 |
| Support track record | 75 | 75 | 0 |
| Store integrations | 55 | 40 | -15 |
| Overall | 69 | 51 | -18 |
What this means: Moderate disagreement — rubric bands may need tightening. Median per-dimension |Δ| is between 5 and 15.
Median per-dimension |Δ| = 15.
Low business transparency due to lack of publicly listed company information. Poor integration due to only one native platform. Access is somewhat limited due to required signup to browse.This is the LLM's own explanation, not editorial commentary from SupplierSpy. The LLM result is a sanity check on the rubric — never mixed into the scoring formula.