AI Prompt LibrarySite Investigation

Prepare a Geotechnical Field Log Summary

Convert field notes, boring logs, mapping notes, or site observations into a concise professional summary suitable for inclusion in a report.

5 minutes

Compatible platforms

ChatGPT Claude Gemini Microsoft Copilot Grok Perplexity DeepSeek

Prompt

Act as a senior engineering geologist preparing the Site Investigation section of a geotechnical report.

Using the field notes I provide, prepare a concise narrative summary.

The summary should:

• Describe the site conditions.
• Summarize the investigation methods.
• Organize observations logically.
• Identify significant soil and rock units.
• Describe groundwater observations.
• Mention unusual conditions.
• Identify areas where the notes appear incomplete or inconsistent.
• Distinguish observations from interpretations.
• Do not invent observations that are not documented.

Write in the style commonly used in consulting geotechnical reports.

If the field notes contain conflicting information, identify the conflicts instead of attempting to resolve them.

How to use this prompt

Works well with handwritten notes that have been transcribed or OCR’d.

Expected output

A polished field investigation narrative suitable for a draft report.

Limitations and professional review

AI cannot determine whether field observations were recorded correctly. The final narrative should always be compared against the original field documentation.

Topics

Engineering GeologyField LoggingSite Investigation

Review information

Last reviewed: July 17, 2026

Responsible Use of AI

Use AI as an assistive tool, not a substitute for professional judgment. GeoPrac prompts and AI-generated outputs are provided for informational purposes and do not constitute engineering advice. AI outputs may be incomplete, inaccurate, outdated, or inappropriate for a particular project, site, client, or jurisdiction. Engineers and other professionals remain responsible for independently verifying results; applying applicable laws, codes, standards, and professional requirements; protecting confidential, proprietary, and client information; and ensuring that work affecting public health, safety, and welfare is performed under the responsible charge of a qualified professional. Do not rely on AI output as the sole basis for engineering decisions.