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What if multiple AIs interpreted the I Ching? Our second build-in-public retrospective is up: translating 386 Classical Chinese texts, choosing an LLM, matching tone, and handling batch APIs/rate limits.

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Nvidia and Google both have custom models for the IChing, but the real question is how do you tell when the garbage is garbage, when the garbage is garbage, and when the garbage is garbage?

Multi-agent consensus for the I Ching is brilliant. Ensemble models solve tone drift in complex translations. Using batch APIs to scale wisdom is top-tier systems thinking. Great build!