Prompt Engineering
Prompt engineering is the practice of writing precise instructions that get AI models to produce the specific output your team needs — formatted correctly, grounded in your data, and consistent enough to trust. It's the difference between getting a vague summary and getting a structured estimate breakdown that matches your cost codes.
Why It Matters for Construction
Most AI tools fail in construction not because the models aren't capable, but because nobody told the model what "good" looks like for your company. A general-purpose chatbot doesn't know your cost code structure, your preferred report format, or that "NIC" means something different in your specs than it does elsewhere.
Prompt engineering solves this by encoding your company's knowledge, formatting preferences, and quality standards directly into the instructions the AI follows.
What I Build With Prompt Engineering
1. Structured Report Generation
Turn raw project data into formatted reports that match your company's templates. Daily field reports, progress updates, safety summaries — all generated from the data your team already collects, formatted the way your stakeholders expect to see them.
The prompt encodes your report structure, tone preferences, and what "important" means in context (a $500 variance on a $50M project vs. a $500 variance on a $50K project).
2. Estimate & Proposal Drafting
Feed project specs into a system that produces draft estimates using your cost code structure, your preferred line-item breakdown, and your historical pricing as reference. The prompt ensures the output matches your bid format so estimators can review and adjust rather than build from scratch.
This isn't about replacing estimators — it's about giving them a first draft in minutes instead of hours, so they spend their time on judgment calls and strategy rather than data entry.
3. Contract Analysis
Prompts designed to scan MSAs, subcontracts, and purchase orders for specific risk patterns: pay-when-paid clauses, indemnification traps, liquidated damages thresholds, insurance requirements that don't match your coverage. The model flags issues and quotes the specific clause, so your team can review the actual language rather than re-reading 40-page contracts from scratch.
4. Specification Parsing
Construction specs are dense and inconsistent across projects. Prompt engineering creates parsers that extract submittal requirements, material specifications, testing protocols, and compliance criteria from specs in any format — organizing them into a structured checklist your PM can actually work from.
5. Safety Documentation
Generate tailored safety plans, toolbox talks, and JSAs based on the specific work being performed, the site conditions, and the applicable regulations. The prompts pull from your company's safety standards and the relevant OSHA/CSA requirements for the jurisdiction, producing documentation that's specific to the actual work — not generic boilerplate.