As AI-powered features become more integrated into FileMaker, understanding how AI interactions function behind the scenes is crucial.
bzAICallLogging-FM extends the bzSemanticSearch-FM demo file by incorporating FileMaker’s AI Call Logging script step, providing a structured way to track AI requests, responses, and token usage. This helps analyze AI interactions and refine cosine similarity for better search accuracy.
Learn more about this functionality in the second blog post from our series on Semantic Search, where we explore how AI Call Logging enhances transparency, security, and workflow optimization in FileMaker.
By capturing and storing AI call logs, developers and businesses can monitor system performance, refine AI-driven workflows, and ensure relevant search results with greater efficiency.
AI Call Logging in Action: Track, Analyze, and Optimize AI Interactions
This screenshot showcases bzAICallLogging-FM in action, capturing AI call logs in FileMaker. The log details token usage, similarity thresholds, and iterative semantic searches, helping developers fine-tune AI-driven queries. By analyzing these logs, users can optimize search accuracy, manage costs, and troubleshoot AI behavior efficiently.
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