Build Custom AI Assistants for Architecture Course

Lesson 1 • What AI Assistants Actually Are

Defines AI assistants, large language models, and generative AI in plain terms. Grounds the chapter by separating marketing hype from technical reality.

Lesson 2 • Architectural Workflows and Pain Points

Analyses repetitive, time-consuming tasks in architectural practice where AI adds measurable value. Connects workflow analysis to assistant design decisions.

Lesson 3 • Ethical and Professional Responsibilities

Covers accuracy obligations, liability considerations, and professional standards when using AI in licensed practice. Sets the ethical framework carried throughout the course.

Lesson 1 • Anatomy of an Effective Prompt

Breaks down the components of a well-structured prompt: role, context, task, format, and constraints. Provides the vocabulary used in every subsequent section.

Lesson 2 • Iterative Prompt Refinement Techniques

Introduces chain-of-thought, few-shot, and self-critique prompting to improve output quality iteratively. Builds the refinement habits essential for advanced assistant design.

Lesson 3 • Prompting for Design Documentation

Applies prompt engineering to generate specifications, narratives, and drawing notes. Demonstrates how prompt structure directly affects document quality.

Lesson 4 • Prompting for Code and Compliance Research

Teaches prompts that extract structured compliance summaries from building regulations and accessibility standards. Reduces research time while maintaining accuracy.

Lesson 1 • Preparing Documents for Ingestion

Covers chunking strategies, metadata tagging, and formatting standards that optimise retrieval accuracy. Directly affects how well the assistant finds and cites information.

Lesson 2 • Sourcing and Curating Firm Knowledge

Identifies which firm documents, standards, and project records belong in the knowledge base. Teaches curation criteria that balance completeness with retrieval precision.

Lesson 3 • Knowledge Base Concepts and Architecture

Explains retrieval-augmented generation and why grounding AI in firm documents improves accuracy. Establishes the conceptual model for all knowledge base work ahead.

Lesson 1 • Deploying and Sharing the Assistant

Covers access control, onboarding documentation, and rollout strategies for internal deployment. Ensures colleagues can use the assistant safely and effectively from day one.

Lesson 2 • Selecting the Right Platform

Compares no-code assistant builders on capability, cost, data privacy, and integration options. Enables an informed platform choice aligned with firm size and technical capacity.

Lesson 3 • Configuring Assistant Persona and Behaviour

Sets the assistant's role, tone, response style, and refusal rules through system prompts and settings. Shapes the user experience and enforces professional output standards.

Lesson 4 • Initial Testing and Quality Assurance

Runs structured test scenarios covering typical architectural queries to validate assistant accuracy and tone. Establishes a QA baseline before sharing the assistant with colleagues.

Lesson 1 • Switching and Managing Multiple Assistants

Teaches strategies for organising, naming, and switching between phase-specific assistants within a firm. Prevents configuration confusion and maintains quality across the project lifecycle.

Lesson 2 • Construction Documents Assistant Configuration

Creates an assistant that accelerates specification writing, drawing note generation, and code compliance checks. Targets the highest-volume documentation phase in architectural practice.

Lesson 3 • Construction Administration Assistant Configuration

Configures an assistant for RFI responses, submittal review notes, and field report drafting. Reduces response time and improves consistency during construction oversight.

Lesson 4 • Schematic Design Assistant Configuration

Configures an assistant that supports programming, precedent research, and concept narrative generation. Aligns AI behaviour with the exploratory, iterative nature of early design.

Lesson 1 • AI-Assisted Proposal Writing

Configures an assistant to draft project approach narratives, team qualifications, and fee summaries. Reduces proposal preparation time while maintaining firm voice and accuracy.

Lesson 2 • Project Narrative and Portfolio Content

Generates compelling project descriptions, award submission narratives, and website copy using AI. Maintains design intent and firm brand voice through structured prompting.

Lesson 3 • Client Meeting Preparation and Follow-Up

Uses AI to generate meeting agendas, pre-read summaries, and follow-up action logs. Improves meeting efficiency and client confidence in firm responsiveness.

Lesson 1 • Change Management and Staff Adoption

Addresses resistance, training needs, and adoption metrics when rolling out integrated AI workflows firm-wide. Ensures technology investment translates into sustained productivity gains.

Lesson 2 • Automation Pipelines with No-Code Tools

Builds trigger-based automation pipelines that connect AI assistants to email, cloud storage, and communication tools. Enables hands-free document generation and routing.

Lesson 3 • AI and BIM Platform Coordination

Explores how AI assistants can interpret BIM data exports to generate reports, clash summaries, and specification links. Bridges the gap between model data and written documentation.

Lesson 4 • Connecting AI to Project Management Tools

Links AI assistants to project management platforms for task generation, status reporting, and deadline tracking. Reduces manual data entry and improves project visibility.

Lesson 1 • Performance Metrics for AI Assistants

Defines quantitative and qualitative metrics for measuring assistant accuracy, speed, and user satisfaction. Creates the measurement foundation for continuous improvement.

Lesson 2 • Ongoing Knowledge Base Maintenance

Establishes schedules and ownership for updating, auditing, and retiring knowledge base content. Prevents knowledge decay that degrades assistant reliability over time.

Lesson 3 • Strategic AI Roadmap for the Firm

Guides students in building a multi-year AI adoption roadmap aligned with firm growth and technology trends. Positions the firm to adapt as AI capabilities evolve.

Lesson 4 • Prompt and Configuration Governance

Creates a governance process for reviewing, approving, and versioning prompt and configuration changes. Maintains quality and accountability as the assistant portfolio grows.