"Every AI API call costs money, measured in tokens sent and received. The financial cost is the easiest one to see, but the latency cost adds seconds to a user's experience that a local look-up does not."
"The approach I have landed on is straightforward: do as much as possible with structured data and deterministic logic before the AI ever gets involved."
"If you can answer a question with a keyword match against a curated knowledge base, do that. Save the AI API call for the part of the task that actually requires generative capabilities."
AI-powered educational tools should prioritize structured data and deterministic logic before utilizing AI APIs. This approach minimizes financial, latency, reliability, and environmental costs. By handling as much as possible with local resources, the AI can be reserved for tasks requiring generative capabilities. This strategy enhances user experience and reduces dependency on external services, ultimately leading to more efficient and sustainable learning tools.
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