Part V: Foundation Models and Agentic Sensing
Chapter 22  [R]

LLM Agents for Sensing and Operations

"I stopped merely reporting the reading and started deciding what to do about it."

An Increasingly Autonomous Embodied AI Agent

Placeholder chapter page. Sections are produced by the book-skills pipeline.

Sections

  1. 22.1 From single-shot inference to agentic sensing loops
  2. 22.2 Anomaly explanation and root-cause reasoning with LLMs
  3. 22.3 Log/telemetry reasoning and industrial copilots (Argos, AgentFM, CALM)
  4. 22.4 Tool use: agents that call detectors, filters, and forecasters
  5. 22.5 Multi-agent recursion-of-thought for RCA
  6. 22.6 Guardrails, calibrated confidence, and human-in-the-loop
  7. 22.7 Cost, latency, and reliability of agentic pipelines

Lab 22

build an agent that monitors a sensor stream, invokes a detector tool, and produces an explained, uncertainty-tagged alert.