AI writing assistant

Draft Site Investigation Reports Faster — Geotechnical AI Assistant

Pre-built prompt chains and output templates tailored for borehole logs, CPT/SPT interpretation, laboratory summaries, foundation recommendations and client-facing executive summaries. Convert tabular data and field logs into standardized narrative sections with built-in QA prompts for units, datum references and revision traceability.

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Benefits

Why geotechnical teams use AI-assisted drafting

Reduce time spent on repetitive writing and ensure consistent phrasing, units and formatting across projects. Produce defensible technical narratives from raw CPT/SPT and lab outputs, and generate concise executive summaries for clients and permitting authorities.

Turn raw test outputs and borehole logs into coherent report sections without retyping tables.
Standardize language across teams with reusable phrasing and style guides.
Produce multi-audience deliverables: detailed technical appendices and plain-language summaries.

Features

Core capabilities for geotechnical deliverables

Prompt templates and chains designed to reflect common geotechnical workflows: data ingestion, automated narrative generation, iterative peer review and client-ready summaries.

Borehole log narrative generator — depth-interval to narrative conversion.
CPT/SPT interpretation prompts — convert tip resistance, sleeve friction and blowcounts into stratigraphic interpretation and preliminary design comments.
Laboratory results templates — Atterberg, grain-size and triaxial outputs into appendix-ready text and tables.
Built-in QA/checklist prompts for units, datums, coordinate systems and revision notes.

Borehole log narrative generator

Prompt chain that converts lithology codes, depth intervals and groundwater observations into a polished borehole narrative and stratigraphic summary.

Input: depth intervals, lithology codes, recovery and groundwater notes (CSV/Excel).
Output: formatted narrative paragraph per borehole and a stratigraphic column summary.

CPT/SPT interpretation

Prompts to translate CPT tip resistance, sleeve friction and SPT N-values into engineering stratigraphy and preliminary bearing capacity notes.

Includes guidance to flag anomalous readings and where to recommend further testing.
Produces technical text and a short lay summary for project managers.

Laboratory results summary

Templates to convert tables of Atterberg limits, grain-size distribution and triaxial test outputs into concise interpretive paragraphs and appendix tables.

Formats units and limits consistently and highlights results outside expected ranges.
Provides suggested text for inclusion in report appendices.

Data inputs

Supported source data and minimal required fields

Work from the common geotechnical source ecosystem: borehole logs, CPT/SPT datasets, lab result tables, survey layers and project spreadsheets. Early validation prompts check for the minimal fields needed for each template.

Borehole logs: borehole ID, depth_from, depth_to, lithology_code/description, recovery (%) and groundwater observations.
CPT/SPT: depth, qc/qt, fs, N-value (SPT) and sampling notes.
Laboratory tables: test ID, specimen ID, parameter name, value, units and test standard.
GIS/CAD inputs and field photos used as contextual attachments for summaries and site description.

Workflows

How it fits your geotechnical workflow

Integrate template-driven drafting into existing workflows: import structured data, run a data‑to‑text template to generate first drafts, iterate with peer-review prompts and produce final report sections with revision traceability.

Ingest: import CSV or Excel exports from field loggers, CPT equipment and laboratory systems.
Draft: run the appropriate prompt cluster to generate technical sections and executive summaries.
Review: apply peer-review prompt chains to produce reviewer checklists and suggested redlines.
Finalize: export narrative sections, appendices and a revision log for front-matter.

Field supervisor workflow

Create daily site narratives and consolidated borehole logs from field notes and photos.

Quickly turn field logs into preliminary narratives for project teams.
Flag missing data required for final reporting.

Lab technician workflow

Convert test result tables into appendix-ready summaries with consistent units and formatting.

Standardize table formatting and generate short interpretive text.
Highlight outliers and recommended confirmatory tests.

Project manager workflow

Produce client-facing executive summaries and scope updates for tenders and permits.

Generate plain-language briefs with clear recommended next steps.
Attach technical appendices and maintain revision history.

Sample prompts

Practical prompt examples

Concrete prompt starters you can use with your data‑to‑text templates. Replace bracketed fields with your CSV/Excel columns or short pasted tables.

Borehole narrative starter: "Given the following intervals for Borehole BH-01 [depth_from, depth_to, lithology, recovery, groundwater], write a 3–5 sentence borehole log paragraph that uses conservative engineering language and includes a one-sentence stratigraphic summary."
CPT interpretation starter: "Using CPT data for profile [depth, qc, fs], identify likely stratigraphic units, estimate relative density or stiffness descriptors, and note any anomalous readings to investigate further."
Executive summary starter: "Summarise the site investigation results in 250–350 words for a non-technical client. Highlight major constraints, recommended next steps, and three critical risks requiring immediate attention."
Lab summary starter: "Convert this table of Atterberg and grain-size results into a concise paragraph and an appendix-ready table. Flag values outside typical ranges and suggest follow-up tests if needed."

Standards & QA

Quality control, standards and traceability

Templates include QA prompts and reviewer checklists to help ensure unit consistency, datum references and code-appropriate phrasing. Use the regional tailoring prompts to adapt terminology and citation style for local standards (examples: Eurocode, AASHTO, Australian Standards).

Run unit-consistency checks: explicit prompts verify units in source tables and convert to project standard units.
Datum and coordinate checks: include prompts that require confirmation of vertical datum and coordinate reference system.
Revision traceability: generate structured revision notes with author, reviewer and summary of changes for front-matter.
Regulatory tailoring: edit the template to reference the local code and submission format required by permitting authorities.

FAQ

How reliable are AI-generated geotechnical narratives and how should I verify them?

AI-generated narratives are a drafting aid: they accelerate consistent wording and initial interpretation but must be reviewed by a qualified engineer. Use the included peer-review prompt chain to produce a reviewer checklist, verify key calculations and cross-check recommendations against original CPT/SPT and laboratory results before issuing reports or submissions.

What input formats work best for borehole, CPT and lab data?

Structured CSV or Excel exports are ideal: include identifiers (borehole or sample ID), depth_from/depth_to, parameter name and units. For CPT/SPT include depth, qc/qt, sleeve friction and N-value. PDF logs or scanned field notes can be used when paired with a brief structured table extracted by your data team.

Can I use AI drafts for regulatory or permitting submissions?

AI drafts can form the basis of regulatory submissions once reviewed and signed by a qualified engineer. Tailor the template to local submission formats and ensure all code citations and conservative assumptions are verified. The platform includes prompts to format citations and generate code‑specific language where needed.

How do I ensure unit consistency and correct datum references in generated text?

Run the unit-consistency and datum-check prompts before the finalization step. These prompts compare units in source tables, convert where required to the project standard, and append a header note that states the vertical datum and coordinate reference system used in the report.

How should teams manage version control and reviewer traceability when using AI?

Maintain a structured revision log generated by the revision-history prompt: include author, reviewer, date and a summary of changes. Use your existing document control system for final file management; the AI drafts are best stored as working documents until formally reviewed and signed.

What prompt strategies produce defensible technical statements vs preliminary commentary?

Use explicit prompt instructions: mark statements as 'preliminary' when based solely on field logs and require supporting data references for definitive statements. For defensible statements, prompt the model to cite source table rows (e.g., 'Refer to CPT profile at 3.5–4.0 m, qc=xx kPa') and always append a reviewer action item to verify calculations.

How can I adapt templates to regional conventions (US/UK/Australia/EU)?

Use the regional-tailoring prompt cluster: specify the target jurisdiction and the preferred code reference (for example, Eurocode, AASHTO or Australian Standards). The template will adjust terminology, units and typical report structure; always have a local engineer verify code citations and language.

How do I combine AI-generated narratives with manual calculations and geotechnical software outputs?

Export analysis outputs (e.g., bearing capacity calculations, slope stability summaries) into a concise table or annotated screenshot and attach alongside the AI draft. Use the data‑to‑text prompts to reference these outputs explicitly and include reviewer prompts to reconcile narrative statements with the calculation spreadsheets or model outputs.

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