Agentic Workflows for the Built Environment
Trustworthy AI Agent Systems Across Design, Construction, and Operations
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Beschreibung
This book offers a practical playbook for integrating agentic workflows throughout the building lifecycle. It demonstrates how to use Retrieval-Augmented Generation (RAG) to ground AI in project-specific data and highlights the use of open-source tools like OpenClaw for secure, local automation.
Generative AI and multimodal models offer immense potential, yet the AEC industry struggles to move from “cool demos” to reliable, high-stakes production. This book bridges that gap by introducing a socio-technical framework that connects built-environment information ecologies with LLMs and Computer Vision.
From automated code compliance in design to real-time UAV analysis in operations, readers find step-by-step guides and validation templates to mitigate risks like hallucinations and prompt injection. Written for researchers, CTOs, and practitioners, this book is essential for building trustworthy, efficient, and sustainable AI systems in the 2026 landscape.
Provides checklists to mitigate the risks of AI hallucinations and compact case studies Bridges the gap among AI research and AEC practice, enabling readers to plan, validate, and deploy multimodal AI systems Presents a concise primer with high-impact, ready-to-use workflows
Autor*in
Chi-Yun Liu
Themen in »Agentic Workflows for the Built Environment«
Multimodal AI and Agentic Workflows for Built Environment Large Language Models in AEC Industry AI-assisted BIM and Design Optimization Construction Document Intelligence and Automation Unmanned Aerial Vehicle Computer Vision for Building Inspection Autonomous AI Agents (OpenClaw) for Facility Management Sustainable Building Operations with AI AI Safety and Responsible Governance in Construction Digital Twin Integration and Lifecycle Analytics Generative AI for Architecture Engineering Construction