We Specified an AI Agent in 2016. We Called It Analytics.

The article revisits an IBM patent from 2016 that described a real‑time concert feedback system as an early example of an AI agent. It highlights an agentic loop that combines multimodal perception (audio and visual streams), memory‑grounded inference, and a human‑in‑the‑loop for real‑time adjustments. The author reflects on how this design anticipated modern agent architectures, noting trade‑offs between latency and inference depth. The piece underscores the importance of integrating human feedback early in the pipeline to guide learning and system behavior.

⚡ Key Takeaways

• IBM patented a real‑time concert feedback agent in 2016 that processed live audio‑visual data.
• The architecture centers on an agentic loop with multimodal perception and memory‑grounded inference.
• Real‑time operation required careful balancing of

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