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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.
Produkteigenschaften
- Artikelnummer: 9783032410443
- Medium: Buch
- ISBN: 978-3-032-41044-3
- Verlag: Springer
- Erscheinungstermin: 19.11.2026
- Sprache(n): Englisch
- Auflage: Erscheinungsjahr 2026
- Serie: SpringerBriefs in Applied Sciences and Technology
- Produktform: Kartoniert
- Seiten: 111
- Format (B x H): 155 x 235 mm
- Ausgabetyp: Kein, Unbekannt