yogsoth-ai White Space Identification
Identify matrix regions not covered by existing methods or solutions, then evaluate those regions for viability and novelty.
Stages
Stage 1: White Space Detection
Map existing solutions onto the morphological matrix and identify uncovered regions using white-space-detection SOP. Annotate each gap with reason for non-coverage (overlooked, infeasible, or unexplored).
Stage 2: Combination Evaluation
Evaluate identified white-space combinations for feasibility and novelty using combination-evaluation SOP. Score each on technical feasibility, market novelty, and implementation difficulty.
Minimum Yield
| Metric | Floor |
|---|---|
| Unexplored viable regions identified | ≥3 |
| Regions evaluated for feasibility | all identified |
| Novel viable combinations surfaced | ≥2 |
Available SOPs
| SOP | Role |
|---|---|
| white-space-detection | Stage 1 — detect uncovered matrix regions |
| combination-evaluation | Stage 2 — evaluate feasibility and novelty |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| combination-evaluation | Evaluate new combinations for feasibility and novelty |
| white-space-detection | Identify matrix regions not covered by existing methods |