Module 8: Multimodal and Field AI - Worked Examples

Agentic Engineering For Civil Engineers

These examples demonstrate conservative use of image-capable AI: observable evidence first, inferred engineering meaning second, and field verification before consequential decisions.

Concrete Surface Observation from a Photo

For this exercise, design and verify an AI-assisted civil-engineering workflow for Concrete Surface Observation from a Photo. State the relevant evidence, assumptions, tool or method boundaries, expected output, and the independent check or human approval required before consequential use.

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Reading a Chart from a Screenshot

For this exercise, design and verify an AI-assisted civil-engineering workflow for Reading a Chart from a Screenshot. State the relevant evidence, assumptions, tool or method boundaries, expected output, and the independent check or human approval required before consequential use.

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Drawing Note Extraction

For this exercise, design and verify an AI-assisted civil-engineering workflow for Drawing Note Extraction. State the relevant evidence, assumptions, tool or method boundaries, expected output, and the independent check or human approval required before consequential use.

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Comparing Before-and-After Site Photos

For this exercise, design and verify an AI-assisted civil-engineering workflow for Comparing Before-and-After Site Photos. State the relevant evidence, assumptions, tool or method boundaries, expected output, and the independent check or human approval required before consequential use.

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Screening PPE Observations

For this exercise, design and verify an AI-assisted civil-engineering workflow for Screening PPE Observations. State the relevant evidence, assumptions, tool or method boundaries, expected output, and the independent check or human approval required before consequential use.

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Plan-Sheet Consistency Screening

For this exercise, design and verify an AI-assisted civil-engineering workflow for Plan-Sheet Consistency Screening. State the relevant evidence, assumptions, tool or method boundaries, expected output, and the independent check or human approval required before consequential use.

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Field Video or Live Camera Guidance

For this exercise, design and verify an AI-assisted civil-engineering workflow for Field Video or Live Camera Guidance. State the relevant evidence, assumptions, tool or method boundaries, expected output, and the independent check or human approval required before consequential use.

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Image Evidence Register

For this exercise, design and verify an AI-assisted civil-engineering workflow for Image Evidence Register. State the relevant evidence, assumptions, tool or method boundaries, expected output, and the independent check or human approval required before consequential use.

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Live Multimodal Field Walkthrough with Evidence Capture

Design a live field-inspection workflow that can guide the inspector and capture observable evidence without turning uncalibrated imagery or model confidence into an engineering measurement or disposition.

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