Course Positioning Learn to complete the three most time-consuming parts of a design project using three AI tools—no formulas, no progress bars, no graphic design required:
Quotation drafts
Construction-schedule planning
Proposal presentation content
Paired with NotebookLM, let AI answer client questions and help explain your entire set of materials
Course Schedule and Modules
Chapter 1|Auto-Generate an AI Quotation Draft: Produce Complete Pricing Logic in 1 Minute
Prompt demo: how to generate a quotation draft in a single sentence (trade, unit price, notes)
Hands-on cases: scenarios such as a 20-ping interior renovation, a single trade, and old-home renovation
Quickly organize content into bulleted tables that can be copied straight into a presentation
Custom prompts: gradually teach Gemini your pricing logic (a private-use example)
Chapter 2|AI-Scheduled Construction Progress: Make It Crystal Clear to Owners Without a Spreadsheet
Let AI lay out a complete construction sequence for you (including timeline estimates and dependencies)
Generate a "bulleted progress description": e.g., weekly schedules and phase categorization
Automatically fill in details: staffing arrangements and suggestions to avoid overlapping trades
Output in a format ready to paste directly into a proposal or project presentation
Chapter 3|AI-Written Proposals: From Design Concept to Client Q&A in One Go
Designers just write the requirements, and AI turns them into proposal logic and presentation copy
Hands-on Gamma: quickly template your content into a polished, formal presentation
Bonus module: let AI write the 10 questions clients are likely to ask, plus suggested answers
Complete proposal structure: cover → design concept → budget and schedule → Q&A
Chapter 4|Integrate into NotebookLM: Let AI Explain Your Entire Proposal
Import all your quotation, schedule, and presentation content into NotebookLM notes
Demo of AI's explanation process: e.g., "Why does the carpentry take 15 days?"
Simulate client interaction scenarios: asking questions, looking up information, and inquiring about pricing
Build a smart project data pack: copy and apply it directly to future projects
