Five labs, five minds: building a multi-model finance drama on small models

The article provides an in-depth look at the development of "Thousand Token Wood v2," a finance-focused game emerging from the Build Small Hackathon, where each character operates on a different lab's small AI model. Unlike its predecessor, which was more of a passive simulation, the updated version allows players to actively engage as a financier, manipulating the economy through lending, market speculation, and alliance formation while evading a magistrate's scrutiny. The game utilizes four distinct models from different labs to create genuine diversity in character behavior, emphasizing the importance of heterogeneity for an engaging experience. The core challenges in development centered around serving layer friction and ensuring the security of insider information, which was addressed by separating sensitive data from model prompts. The game's persistent memory feature allows characters to develop relationships based on past interactions, enhancing realism without overwhelming the models. The article concludes by highlighting the potential of small models for generating complex, interactive environments when combined with robust configuration and testing strategies.

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