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This video is a complete guide to implementing `ai in construction` projects and businesses. It aims to show what `ai tools` can do and how to find practical uses for `generative ai`. Learn how to leverage `ai automation` to improve `ai business` processes, promising genuinely useful applications by the end of the course.

Timestampls

*0:00:00 - Introduction & Course Overview*
The speaker outlines the goal of the guide and breaks down the upcoming 9 sections of the course.

*0:02:11 - Section 1: Realistic Predictions for AI in Construction*
A deep dive into how technology will realistically shape the construction industry, including 7 concrete predictions about the future of AI, robotics, and the changing role of construction managers.

*0:22:09 - Section 2: AI Fundamentals (How LLMs Actually Work)*
An overview of how Large Language Models (like ChatGPT and Claude) function, covering concepts like tokenization, temperature/randomness, context windows, and hallucination risks.

*0:45:53 - Section 3: Prompting vs. Context Engineering*
A guide to moving beyond basic prompt engineering to "context engineering"—focusing on how to supply AI with the right structural information, guardrails, and context to get reliable outputs.

*1:02:55 - Section 4: Customizing AI with Your Data (RAG)*
Strategies for taking your specific business data and using Retrieval-Augmented Generation (RAG), style prompts, and memory features to get non-generic answers tailored to your past projects.

*1:24:05 - Section 5: Connecting AI to External Tools (MCP)*
How to break AI out of the standard chat interface and connect it to external tools like Google Drive, Notion, AirTable, or Bluebeam using Model Context Protocol (MCP).

*1:32:42 - Section 6: Automating Construction Management Tasks*
A breakdown of how to use no-code tools like Zapier or n8n to automate repetitive administrative workflows, such as updating RFIs, site diaries, and document control.

*1:54:53 - Section 7: Mastering Construction Data*
How to correctly leverage project data, structure production rate libraries, and combine AI pattern-matching with both structured and unstructured data to make better business decisions.

*2:15:03 - Section 8: Becoming an AI-First Construction Company*
A strategic framework for integrating AI safely into your company processes, understanding where it excels versus where it fails, and setting up necessary human-in-the-loop guardrails.

*2:48:58 - Section 9: 59 Practical AI Use Cases for Contractors*
A rapid-fire overview of specific, practical AI applications categorized by estimating, contract management, design management, scheduling, quality, and more.