AI Interior Design Assistant (Beta)

Problem Solved

Interior design projects often scatter concept planning, process management, presentation layout, and material/color decisions across documents and tools: requirement changes are hard to trace, client decks become visually inconsistent, and material choices lack a clear rationale. AI Interior Design Assistant (Beta) targets these combined tasks by turning project kickoff through delivery into a reusable workflow where design elements carry IDs and context.

How It Works

• Concept planning: anchors inputs such as project name, location, scale, budget, and timeline, then scans five cultural dimensions—geography, history, ethnicity, folk culture, and ecology—to produce a cultural research report, core theme statement, and mood board.
• Eight-step process: advances through SJ-01 to SJ-08, covering requirements, concept, master-plan narrative, materials/color, lighting, detailing, and cross-disciplinary review; elements use stage-code-category-code-priority-code IDs, such as SJ-03-A1-P01, for single-step or full-flow execution.
• Presentation generation: organizes content “framework first, details later,” supports PPTX / PDF / HTML, and offers immersive, magazine, technical-analysis, or hybrid layouts while keeping A/B/C/D references traceable.
• Brand, color, and material guidance: maps brand keywords to spatial mood, then to main, supporting, and accent colors sourced from cultural research; materials are split into P01, P02, and P03 tiers for core, supporting, and broad-coverage uses, with palette values and sample suggestions.

Fit and Limits

It suits spatial projects with enough background to connect planning and reporting. If project name, stage, budget, or references are missing, it may ask follow-up questions or use search and image generation to fill gaps. Because it is a 0.1.0-beta release, outputs are best treated as draft proposals and review materials; verify them before formal bidding, construction detailing, or procurement.