Artificial Intelligence in Construction

Join over 40,000 construction professionals who are using artificial intelligence to reduce risk, protect margins, and get more done in the evolving construction industry.

Learn how to harness AI tools, context engineering, and automation to build real construction workflows — estimating checks, contract reviews, procurement packaging, schedule builds — all demonstrated with real project documents.

This course is:

• Practical & Construction-Specific – Learn from someone with 10 years of hands-on construction experience who builds AI workflows for contractors every day

• Built on Context Engineering, Not Just Prompting – Go beyond basic prompts. Learn how to structure AI with reusable skills, project templates, and the right context so it produces output worth using

• Tool-Connected – Set up MCP integrations that connect AI directly to Google Drive, Gmail, Airtable, Smartsheet, and Excel — no more copying and pasting between applications

• Honest About Limitations – Understand where AI genuinely helps, where it fails, and why "AI does the counting, you do the thinking" is the only approach that works in construction

What You'll Master:

The course is strategically structured into 7 sections:

• Section 1–2: AI Fundamentals Without the Hype – What AI actually is, what it isn't, and where it genuinely helps in construction. The difference between generate and verify — why AI doing a quantity take-off is risky, but AI checking one is valuable. No buzzwords. No fear-mongering. Just a clear-eyed view of what works today.

• Section 3: Prompting & Context Engineering – Prompting is table stakes. Context engineering is what separates useful output from generic nonsense. Build reusable skills and project templates across Claude, ChatGPT, and Gemini — the principles work across all of them.

• Section 4: Construction Use Cases – Ten practical workflows: estimate error checking, contract clause extraction, procurement scope packaging, schedule generation, requirements extraction, production rate libraries, variation tracking, RFI management, document control, and subcontractor quote comparison. Each one demonstrated with real project documents.

• Section 5: MCP and Tool Integration – Connect AI directly to the tools you already use. Instead of manually moving data between applications, AI reads your files, checks your registers, and updates your records. This section shows you how to set it up and where it's worth the effort.

• Section 6: Automation Workflows – Build repeatable automations using n8n that connect AI to your project systems. Email-to-register logging, automatic document classification, tender document processing pipelines. Workflows that run without you — and understanding when manual review still matters.

• Section 7: Realistic Predictions & Future-Proofing – Where AI is headed in construction and where it isn't. The tasks that'll be automated within 2 years, the ones that won't be automated for 10, and how to position yourself either way. Pattern recognition, not speculation.

Perfect for:

• Project Managers and Construction Managers who want AI to reduce admin, not add complexity

• Estimators who want faster, more accurate estimates with built-in error checking

• Contract Administrators who want to stop missing notice deadlines and scope gaps

• Site Engineers looking to automate reporting and documentation

• Construction business owners who want to protect margin through better systems

• Anyone in construction who's tried ChatGPT, got mediocre results, and assumed AI wasn't ready yet

Why Learn from ConstructIQ?

With a decade of experience working for construction contractors — estimating, project management, contract administration, procurement — I understand the real challenges of implementing technology in construction. I've also spent the last 18 months building AI tools for construction full-time, including estimating software, Claude workflows for every major construction discipline, and automation systems that connect project documents to AI processing pipelines.

This isn't theory from someone who read about construction. It's practical knowledge gained from real jobsites and real projects. I'll share what works, what doesn't, and how to navigate the common pitfalls of construction AI adoption.

Start Building Today

The contractors who figure out AI now won't just save time. They'll catch errors their competitors miss, price tenders faster and more accurately, and protect margins through better systems. The tools are here. This course shows you how to use them.