AI audit vs rubric — Syncee
An independent Workers AI LLM scored Syncee 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 | 55 | 45 | -10 |
| Shipping clarity | 92 | 85 | -7 |
| Public reviews | 90 | 90 | 0 |
| Product range | 85 | 92 | +7 |
| Access & onboarding | 85 | 60 | -25 |
| Support track record | 85 | 85 | 0 |
| Store integrations | 85 | 75 | -10 |
| Overall | 82 | 71 | -11 |
What this means: Moderate disagreement — rubric bands may need tightening. Median per-dimension |Δ| is between 5 and 15.
Median per-dimension |Δ| = 8.5.
Pricing transparency is low because pricing is not visible without signup. Business transparency is moderate because the company is not publicly listed, but the founders are named. Shipping clarity is high because origins and delivery windows are clearly published per region. Review score is high because it's over 4.3 stars. Product range is high because it's over 10M SKUs. Access is moderate because a free plan exists, but signup is required to browse. Support is high because consistently positive support feedback is reported. Integration is moderate because native integrations exist with 4 platforms.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.