# Multimodal Architecture: Context Creation with AI > Multimodal Architecture: Context Creation is a compact, production-oriented workshop that turns today’s fragmented multimodal stack into a clear, controllable pipeline for early-stage design. You’ll author design rules in plain language and convert them into workable… ## At a glance - Format: On-demand course - Price: €102.00 (list €120.00) - Difficulty: Intermediate - Duration: 10 Hours - Schedule: Nov 1-2, 2025 - Instructors: Carlos Bañón - Categories: Artificial Intelligence - Software: ChatGPT, Formas.ai - Students: 78 - Rating: 4.6 / 5 - Canonical: https://paacademy.com/course/multimodal-architecture-carlos-banon - Enroll: https://paacademy.com/course/multimodal-architecture-carlos-banon --- ## About this course Multimodal AI means using different types of AI input together — images, text, data, and drawings — rather than relying on a single tool. This workshop teaches architects and designers how to move from site conditions through concept generation to a developed design proposal using a coordinated multimodal AI workflow, where each stage feeds the next rather than operating in isolation. ## What you'll learn - Author constraint-driven concepts using natural-language “rule sets” that control massing, hierarchy, material intent, and geometry. - Contextualize proposals on real sites using site cues, program, topography, scale, and circulation to move from proto-ideas to context-driven schemes. - Shape atmosphere and narrative with lighting, materials, and camera logic to communicate intent in stills and short videos. - Bridge sketched, 2D to 3D spatial data by transforming different media to point clouds for volumetric checking, spatial cues, and camera planning. ## Methodology The workshop follows a hands-on, iterative methodology that combines natural-language rule authoring with multimodal workflows across text, image, video, and 3D data. Participants move from abstract constraints to tangible proto-projects, situating them in real contexts using site and environmental cues. By alternating between conceptual exploration in LLMs, interactive testing in Processing, and structured design development in Formas.ai, the process emphasizes rapid translation of ideas into controlled design outputs. ### Program: ### Day 1: Concept and Contextualization ### Overview The first day introduces the spectrum of multimodal models such as text, image, video, point clouds, and image-to-3D. Participants will receive access to the Formas.ai platform (basic plan) and explore how to use it in combination with Processing for interactive elements. Brief demonstrations of ComfyUI workflows will provide insight into advanced pipelines. We’ll also introduce large language models (ChatGPT, Gemini, Grok) as conceptual development tools. ### Content Concept Creation + Instant Interfaces - Hands-on exploration of “fluid” or “instant” interfaces. - Using natural language to define constraints and rules. - Early materialization of conceptual designs through rules and design constraints. Turning Concepts into Proto-Projects - Developing fast, low-resolution design experiments from the constraints and rules defined earlier. - Iterating through multiple options to test feasibility and expression before full contextualization. Beyond Images: Context Creation - Situating projects within contextual, site, and environmental constraints. - Transitioning from proto-projects to fully context-driven design proposals. ### Day 2: Narrative and Atmosphere Creation ### Overview The second day shifts focus toward storytelling and atmosphere. We’ll use video-based workflows to shape design narratives, refine stylistic choices, and create immersive atmospheres. Emphasis will be on interior mood-making through light, material, and detail, while also extending into point cloud and 3D-based workflows. ### Content Narrative and Style Development - Using video models to build and control design narrative: Timelapses, Constructive Sequences, Design Rationale, Building in use. - Crafting interior atmospheres by combining light, texture, and stylistic elements. Moodboard, furniture. - Personal touch: training our own model sets and applications. Point Cloud and 3D Integration - Converting images into point clouds for immersive spatial exploration. - Contextual creation in 3D : world generations. - Applying point clouds and image-to-3D models in design scenarios. ## Curriculum ### Session 1 - Introduction + PAACADEMY Updates (08:35) - From prompts to prototypes (22:31) - Concept to fabrication pipelines (59:28) - Sketch to context generation (56:45) - From sketch to refinement (49:18) - Style transfer to floor plans (48:57) - Context generation (39:28) ### Session 2 - Spatial imagery (57:12) - Camera based visual generation (44:39) - Context driven model generations (47:02) - From images into models (53:22) - Point-clouds for spatial inference (45:55) - Controlled transitions for storytelling (43:56) ## FAQ ### What is Multimodal Architecture: Context Creation about? This workshop shows how to turn natural-language rules and multimodal tools into clear, context-driven design workflows. ### How is the workshop structured? Day 1 focuses on concept creation, proto-projects, and site context; Day 2 develops narrative, atmosphere, and 3D point cloud integration. ### Which software will we use? Mainly Formas.ai (basic plan will be provided), plus Processing for interactive tests and LLMs (ChatGPT, Gemini, Grok) for concept development. ### What skills will participants gain? You’ll learn to author design rules, contextualize projects on real sites, shape atmosphere with materials and lighting, and transform sketches into 3D point clouds. ### Who is this workshop for? This workshop is designed for architects and designers eager to explore AI and multimodal tools in the early stages of architectural design.