Master 20+ AI Tools for Architecture & Interior Design

This session focuses on the basics of AI-assisted visualization and how teams can begin using prompt-based workflows in a structured way. Participants learn how to build prompt libraries, maintain version control, create repeatable visualization workflows, and develop an adoption playbook that can be used across teams and projects.

This session explores the key AI visualization tools available for concept design, moodboarding, visual briefing, and early-stage design communication. Participants are introduced to tools such as xFigura, Freepik, Flora, Midjourney, and Leonardo, with emphasis on selecting the right model for different visual outcomes and project stages.

This session builds on the earlier visualization modules by introducing advanced visual pipelines and quality-control methods. Participants learn how to combine multiple AI tools, refine outputs through iteration, manage visual consistency, and evaluate AI-generated images using structured QA/QC processes.

This session focuses on creating a repeatable system for visual consistency across project outputs. Participants learn how to develop angle libraries, lighting and material recipes, style references, and consistency rules so that AI-generated visuals remain aligned across multiple iterations, views, and presentation formats.

This session introduces LoRAs and multi-model workflows for more controlled AI visualization. Participants learn how to manage consistency grids, control iterations, and combine different AI models to produce outputs that are more aligned with a specific design language, brand identity, or project visual style.

This session focuses on the preparation and skill-building required for advanced AI visualization workflows. Participants learn how to plan datasets, curate reference material, define style-control rules, and set up the foundations needed to train or guide visual models more effectively.

This session connects custom visualization training with broader AEC workflows such as feasibility studies, BOQs, and documentation. Participants explore how trained visual data can improve output quality while also learning how AI tools can assist in extracting, organizing, and generating project documentation and quantity-related information.

This session introduces AI-assisted test fitting, site analysis, and parametric design workflows for AEC projects. Participants explore how tools can support early design studies, large-scale site understanding, feasibility analysis, and project/document management, helping teams make faster and better-informed design decisions.

This session focuses on using AI to manage project information, documentation, and data-heavy workflows. Participants learn how tools like Claude, Notion AI, NotebookLM, Urban Eyes, and Propall can support document review, knowledge organization, automated summaries, coordination workflows, and structured project tracking.

This session introduces agentic workflows using MCP inside Claude and similar environments. Participants learn how AI agents can connect with external tools, access project information, perform multi-step tasks, and support automation scenarios in AEC workflows, moving beyond simple prompting into more connected AI systems.

This session focuses on automating AEC workflows using agents in tools like Notion AI and Claude. Participants learn how connected agents can work across documents, project management systems, and storage platforms, and how automation can be applied to tasks such as drawing workflows, documentation, coordination, and structured follow-ups.

This session explores how AI can be used to create custom software solutions for AEC businesses and project teams. Participants learn how tools like Google AI Studio, Claude, and Notion AI can assist in building dashboards, internal tools, workflow applications, and lightweight software systems tailored to architectural, engineering, and construction use cases.

This session helps participants finalize and package their capstone work into a professional delivery system. It covers how to organize outputs, create handover bundles, build repeatable templates, and present project work clearly using tools like Gamma, Canva, Napkin AI, and Claude Design.

This section covers Agentic Workflows on n8n, an advanced automation platform capable of handling complex workflows for Architecture, Engineering, and Construction (AEC) use cases. In this session, we provide an introduction to the software, exploring its key components and accessibility.

This session explores advanced workflows within n8n, such as building agents that allow clients to edit interior images themselves or generating Bills of Quantities (BOQs) directly from a mobile device. The primary objective behind introducing these agentic workflows is to establish seamless communication and coordination, ultimately streamlining processes among our team, clients, and other key stakeholders.

This section introduces two major tools used to automate drawing within Revit: Ideatura AI and Glyph Copilot. Glyph Copilot, available through the EvolveLAB website, is specifically highlighted for its drawing automation capabilities. By implementing these workflows, we focus on eliminating manual, time-consuming, and repetitive drafting tasks to significantly improve your overall efficiency.