A hands-on introduction to Prolog logic programming using Pokémon game data as the teaching domain. The post walks through core Prolog concepts — facts, predicates, variables, unification, rules, and negation — by building a queryable database of Pokémon types, moves, and stats. It demonstrates how Prolog's bidirectional querying makes complex relational lookups far more concise than equivalent SQL, and shows a real-world use case: analyzing priority moves for a competitive Pokémon draft league, including handling edge cases like the Prankster ability. The post also reflects on why spreadsheets remain the dominant tool for non-programmers solving these kinds of relational problems.
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