Essential Steps Before AI Unit Generation in ArkDesign.AI
Before launching AI-powered unit layout generation, it’s important to confirm that your building model meets all fundamental system requirements. Completing these setup checks ensures smooth generation, accurate unit placement, and efficient troubleshooting if issues arise later.
ArkDesign.AI’s AI engine relies on clear geometric, circulation, and façade conditions to generate code-compliant and spatially efficient layouts. The following steps outline the essential pre-generation checks every user should perform.
1. Verify Corridor Connectivity
AI unit generation requires continuous corridor access to all zones where units will be placed.
Before generating:
- Ensure that corridors form a connected, uninterrupted network.
- Avoid segmentation by walls, doors, or unlinked sections.
- Confirm that each corridor connects directly to building exits or vertical circulation elements (stairs/elevators).
Tip: Use the corridor highlighting tool to visually trace connectivity and confirm no breaks exist in the path.
2. Define Window Walls Accurately
Units depend on window walls for natural light, ventilation, and proper room placement.
Before generation:
- Assign window wall segments along all façades where units are expected.
- Avoid fragmented or overly short window segments that prevent proper bedroom placement.
- Ensure window walls align with realistic exterior boundaries of the building envelope.
Note: Continuous and well-positioned window walls improve both unit variety and façade efficiency.
3. Check Area Boundaries and Geometry
AI generation performs best when generation zones are geometrically clean and logically defined.
Before generating:
- Ensure boundaries are closed and without overlapping lines.
- Simplify overly irregular shapes—avoid narrow corridors, deep notches, or concave edges.
- Confirm that area types (e.g., residential, amenities, circulation) are correctly assigned.
Best Practice: Use rectangular or gently curved outlines where possible to maximize unit layout efficiency.
4. Review Vertical Circulation Placement
Stairs, elevators, and shafts are critical for access but can interfere with unit generation if placed incorrectly.
Before generating:
- Verify adequate clearances around all vertical circulation elements.
- Ensure these elements align consistently across levels.
- Avoid placing unit generation zones too close to stairs or shafts where required setbacks may not be met.
Tip: Keep a small buffer area around circulation cores to prevent layout conflicts.
5. Validate Floor and Core Alignment
In multi-level projects, consistency is key.
Before generating:
- Confirm that core elements (stairs, elevators, shafts) are aligned vertically.
- Check that floor boundaries and column grids maintain alignment between levels.
Misaligned elements can cause system conflicts that prevent cross-level generation continuity.
6. Save and Simplify Before Running Generation
Before running the AI:
- Save your current model state.
- Temporarily disable complex partitions or test with a smaller generation zone if troubleshooting.
- Run the AI generation once conditions are verified.
Pro Tip: Start with simpler test generations to validate logic before scaling to full-building layouts.
7. Confirm Unit Mix and Area Targets
The requested unit mix should align with available window walls, floor plate geometry, and total buildable area.
Before generating:
- Review your unit distribution ratios (e.g., studios, 1BR, 2BR).
- Ensure the mix is realistic for the floor plate shape and façade access.
- Adjust ratios if the system indicates infeasible allocations during testing.
Example: A deep floor plate with limited window walls may not support a high percentage of two-bedroom units.
Summary
Ensuring that corridor continuity, window wall placement, geometry simplicity, and circulation clearances are properly defined is crucial before initiating AI unit layout generation in ArkDesign.AI.
Following these essential pre-generation steps minimizes failure risks, speeds up design iterations, and allows the AI to deliver optimized, code-aligned, and spatially efficient layouts.
