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PrototypeIndustrial AI AgentsUpdated July 30, 2026

Engineering Agent

An AI agent designed to retrieve technical information, analyze engineering context and support repeatable engineering workflows.

Problem

Repeatable engineering tasks — locating a controlling specification, extracting parameters, comparing a condition against a standard — consume engineering hours without producing new knowledge.

Hypothesis

A narrowly scoped agent operating on a defined workflow with cited sources can carry out those steps reliably enough to be trusted with the routine cases.

Architecture

  • Workflow definition with explicit steps and stopping conditions.
  • Retrieval tools over documents and structured process context.
  • Extraction step that returns values with units and source references.
  • Human review checkpoint before any recommendation is acted on.

Experiment

Whether restricting the agent to one repeatable workflow improves reliability relative to open-ended question answering.

Observations

  • Narrow scope improved reliability markedly; open-ended prompting was not dependable.
  • Explicit stopping conditions prevented the agent from inventing follow-on steps.
  • Reviewers accepted output far more readily when values carried units and citations.

Technologies

  • Tool-using agents
  • Structured output
  • Retrieval tools
  • Workflow orchestration

Next steps

  • Add a second workflow and check whether reliability holds.
  • Instrument the review checkpoint to capture correction reasons.

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