How the AI Verdict engine works
The AI Verdict is the one thing SpecEagle does that GSMArena cannot. Here is how it is built and what it does — and does not — do.
Every verdict starts from the same structured inputs: the two phones' full spec sheets (14 categories, 142 fields each), benchmark medians from four suites, the editorial consensus from 23 outlets, and the buying use case (photography, gaming, battery, daily driver, four more).
A retrieval-augmented language model produces a draft verdict, anchored to the structured inputs and prevented from inventing facts not present in the data. Drafts are then verified by a deterministic fact-check pass against the source spec sheets.
Every published verdict is reviewed by an editor before going live. The editor can rewrite, reject, or annotate; they cannot, however, change the structured score that drives the verdict — that requires updating the underlying spec data.
Each verdict carries a confidence indicator (Low / Medium / High) based on three signals: how complete the spec data is, how much benchmark agreement there is across suites, and how much editorial consensus exists. High confidence means at least 95% spec completeness, ≥0.85 benchmark correlation, and ≥0.75 editorial agreement.
Generate verdicts for phones we have not verified the specs of. Make claims that contradict the source data. Recommend the affiliate-paying option when the data points elsewhere. Predict pricing or availability.