Innovation in Baseball Intelligence

Our cache validates that similar-sounding queries actually mean the same thing via multiple independent signals before returning cached results.

Why it matters: Prevents incorrect cache hits — e.g., "Tigers with 50 homers" will never return cached results for "Tigers with 50 steals."

A multi-step pipeline catches and fixes predictable AI mistakes before they reach the database layer.

Why it matters: Turns unreliable AI output into reliable structured queries through deterministic, ordered repair stages.

Smart pattern matching handles the majority of queries instantly. Only complex or ambiguous questions require the full AI pipeline.

Why it matters: Delivers near-instant results for common queries while preserving full AI understanding for nuanced questions.

One master definition per stat powers slang recognition, database queries, and display labels across the entire system.

Why it matters: Understands "dingers," "long balls," "taters," and "home runs" as the same stat — one source of truth, zero ambiguity.

Distinguishes between singular and plural intent in natural language queries to control result set size.

Why it matters: Knows "the Dodger with most HR" means one player, while "Dodgers with most HR" means a ranked list.

Automatically classifies each filter in a query and routes it to the correct database table by stat type.

Why it matters: Enables mixed queries across traditional stats and Statcast metrics without users knowing which table holds what.