AI audit vs rubric — Trendsi
An independent Workers AI LLM scored Trendsi 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 | 40 | — | — |
| Shipping clarity | 92 | — | — |
| Public reviews | 92 | — | — |
| Product range | 75 | — | — |
| Access & onboarding | 95 | — | — |
| Support track record | 88 | — | — |
| Store integrations | 72 | — | — |
| Overall | 79 | — | — |
What this means: Large disagreement — investigate. The LLM read the published signals very differently from the deterministic rules.
Median per-dimension |Δ| = 64.
No pricing information available; contact-sales-only. (pricing.source_price_visible = false)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.