AI WORKFLOW & EXPLORATION

STAGE 01

Historical & Heritage Research

Original Design Intention

• Understand Bukit Malawati heritage

• Study laterite fortress walls

• Investigate community identity

AI Exploration

• Historical research

• Heritage precedent studies

• Laterite material references

• Sou Fujimoto theoretical research

Human Evaluation

• Identified themes of memory, resilience, persistence

Design Improvement

• Formation of the Laterite Hive concept

STAGE 02

Site & Environmental Analysis

Original Design Intention

• Understand site conditions

AI Exploration

• Sun path analysis

• Wind direction analysis

• Rainfall studies

• Tropical climate research

Human Evaluation

• Evaluate comfort and environmental opportunities

Design Improvement

• Passive cooling strategies

• Shaded public spaces

• Natural ventilation planning

STAGE 03

Concept Development

Original Design Intention

• Express historical memory architecturally

AI Exploration

• Alternative concept narratives

• Fortress transformation studies

• Primitive Future philosophy analysis

Human Evaluation

• Select meaningful interpretation

Design Improvement

• Laterite Hive:

  • Memory

  • Resilience

  • Connectivity

  • Community

STAGE 04

Honeycomb Spatial Strategy

Original Design Intention

• Flexible exhibition environment

AI Exploration

• Modular planning options

• Spatial relationship studies

• Community interaction simulations

Human Evaluation

• Compare different layouts

Design Improvement

• Honeycomb system adopted as a spatial strategy

• Flexible exhibition spaces

• Adaptable event spaces

IMPORTANT NOTE ON POSTER

Add:

Concept = Laterite Hive

Strategy = Honeycomb Modular Planning

This distinction is very important.

STAGE 05

Sustainability Analysis

Original Design Intention

• Climate responsive architecture

AI Exploration

• Laterite thermal performance

• Passive design studies

• Rainwater harvesting possibilities

• Daylighting simulations

Human Evaluation

• Select practical environmental solutions

Design Improvement

• Natural ventilation

• Thermal mass benefits

• Water management strategies

STAGE 06

User Experience Refinement

Original Design Intention

• Create meaningful visitor experiences

AI Exploration

• Circulation simulations

• Behaviour mapping

• Public interaction scenarios

Human Evaluation

• Assess spatial quality

Design Improvement

• Layered visitor journeys

• Enhanced community engagement

• Improved accessibility

STAGE 07

Professional Judgement

What AI Contributed

✓ Faster research

✓ Environmental analysis

✓ Design exploration

✓ Alternative solutions

✓ Visualization support

What AI Could Not Do

✗ Understand cultural meaning

✗ Create architectural intention

✗ Make final design decisions

✗ Take professional responsibility