AI FOR ARCHITECTS

Explore the conceptual foundation of the course and how AI reframes architectural practice as professional acceleration rather than tool mastery. Learn how the course is structured, how the lifecycle model connects each week, and how the final project develops across all sessions. 

• Meet your instructor
• Course structure 
• Assignments & final project overview

Final Project Preview
The course culminates in an AI-augmented architectural proposal that demonstrates fluency across the full project lifecycle. Students choose between a speculative brief or a live project, both developed progressively through weekly components into a final portfolio outcome.

Explore how architecture evolved through major toolshifts — from pen and pencil to CAD, BIM, and AI. Learn how each transition reshaped the architect’s role, redistributed creative leverage, and redefined professional judgement. 

• History of architectural practice
• The arc of tools: pen, CAD, BIM, AI
• Authorship, leverage, and leadership
• The contemporary AI shift

Assignment 1
Create a 500-word AI-assisted summary connecting an architectural style or typology to the technologies and cultural conditions that shaped it. Focus on prompt structure, professional tone, and reflective evaluation of your AI workflow.

Learn how contemporary AI systems work, where their limitations come from, and how prompting shapes output quality. Through live demonstrations, develop the technical fluency needed to use AI critically and strategically in practice. 

• Demystifying the engine
• Training & data rigour
• The sharpened pencil
• Identification of bias
• Trajectory towards automation
• Demo: Blind vs engineered prompting in Claude or ChatGPT

Discover why strong concepts begin with judgement, not tools. Learn how architects interrogate briefs, define positions, and translate site and program into clear design narratives before AI enters the process. 

• The brief as interrogation
• Concept inception and architectural narrative
• Reading site, client, and program
• Position drift in concept design
• Final project framework introduction

Assignment 2: Component 0 + 1
Develop the opening stages of your final project through a site/client statement and a one-page concept response. Focus on defining a clear architectural position before introducing AI-generated outputs.

Explore how AI transforms concept design into a fast-moving process of iteration and refinement. Learn how to generate broadly, curate critically, and maintain authorship across AI-assisted design cycles. 

• Generation as iteration
• Prompt-as-design thinking
• The Eliza problem in concept work 
• Curation and rejection
• Provenance and authorship 
• Workshop: Real-time concept iteration on a shared brief

Learn how architects read sites through observation, interpretation, and contextual judgement. Explore how environmental, cultural, and regulatory conditions shape design intent long before solutions emerge. 

• The site visit as professional practice
• Reading environmental and regulatory constraints
• Programming as architectural judgement
• Interpreting evidence and ambiguity
• Translating site intelligence into design intent

Assignment 3: Component 2
Produce a concise AI-assisted site analysis exploring environmental, statutory, and contextual conditions. Combine diagrams and written insights to demonstrate how research informs architectural intent.

Discover how AI accelerates research, precedent analysis, and regulatory investigation at scale. Learn how to verify outputs, identify hallucinations, and build workflows grounded in professional accountability. 

• AI for regulatory analysis
• Environmental and climatic synthesis
• Typological and precedent research
• Hallucination detection and verification
• AI-assisted programming dialogue
• Workshop: Verification and refusal workflows

Explore the stage where concepts are tested against technical reality through coordination, detailing, and refinement. Learn how architects maintain design clarity across complex and highly collaborative workflows. 

• Design Development as resolution
• Coordination as design practice
• The seniority paradox in DD
• Materiality and specification workflows
• Design drift during development

Assignment 4: Component 3
Develop one resolved architectural drawing that demonstrates continuity between concept, site analysis, and technical intent. Prioritise clarity, relevance, and depth over quantity.

Learn how AI accelerates coordination, specification, and technical workflows during Design Development. Explore how to preserve design intent while working across increasingly automated project environments. 

• Spec drafting with AI
• AI-augmented coordination
• Supply-chain interrogation at speed
• Automation drift
• Maintaining design legibility
• Workshop: Coordination simulation with AI in the loop

Discover how architectural documentation transforms design intent into contractual responsibility. Learn why precision, consistency, and accountability remain central to professional practice in the AI era. 

• Documentation as contractual commitment
• Construction administration workflows
• Consistency across large document sets
• Architect–contractor relationships
• Liability and professional accountability

Assignment 5: Component 4
Create an AI-assisted practice document system, such as an RFI register or defects tracker, that reduces repetitive work while preserving professional review and accountability.

Explore how AI compounds documentation workflows through drafting, coordination, and consistency checking. Learn where automation improves efficiency — and where professional responsibility remains entirely human. 

• AI for drafting and consistency checks
• AI-assisted RFIs and variation analysis
• Liability and professional responsibility
• Verification and auditing workflows
• AI in construction and disputes
• Workshop: Documentation stress-test

Learn why completion is one of the most critical stages of architectural practice. Explore how handover, defects management, and post-occupancy relationships shape both project outcomes and professional reputation. 

• Practical Completion and Occupation Certificates
• Defects liability and client management
• Handover documentation workflows
• Post-occupancy realities
• Project assembly and portfolio review
• Workshop: Peer and instructor critique

Discover how AI streamlines completion workflows while reinforcing the importance of human relationships in practice. Learn how to balance procedural efficiency with trust, communication, and client care. 

• AI-assisted defect and snag management
• Handover document automation
• AI in client communication
• Procedural vs relational work
• Post-occupancy feedback systems
• Workshop: AI-assisted handover communication

Explore how completed projects become long-term practice assets through publications, awards, photography, and public narrative. Learn how architects use storytelling and visibility to shape future opportunities and career growth. 

• The project beyond completion
• Archive and project record management
• Photography and narrative sequencing
• Awards and publication strategies
• Capability statements and RFPs

Assignment 6: Component 5
Develop a communications strategy for presenting your final project through photography, narrative, publications, or portfolio positioning. Focus on how architectural work is framed for different audiences.

Reflect on how AI reshapes architectural practice across the full project lifecycle. Explore how architects can reclaim time, strengthen judgement, and lead more critically and creatively in an AI-augmented profession. 

• AI for practice and business development
• Project narratives and public voice
• Awards and publication workflows
• AI in teaching and thought leadership
• The future of architectural judgement
• Final project showcase and critique