I built an AI agent for our World Cup betting pool. She beat all of us.
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A developer built an AI agent called BETanIA to participate in a World Cup prediction pool, and she won — beating all 16 human players with 370 points. The post focuses not on the betting logic but on the hard problem of giving a long-running agent persistent memory and character. Key techniques include a tiered memory model (volatile, persistent, append-only, derived), a diary system that condenses each match into a dated paragraph, lossy vs. lossless compaction strategies, and seven separate prompts sharing a common memory store rather than one god-prompt. The agent developed rivalries, tracked player personalities via admin-filed notes, roasted defectors with zero-token form letters, and wrote her own champion's card. The core lesson: memory buys continuity and character, not necessarily better task performance — the betting was won on web search and discipline, but the memory is why nobody minded losing to her.
