yogsoth-ai Excursion Orchestration
Orchestrate the full excursion sequence from departure through force-fit to springboard launch.
Stages
Stage 1: Excursion Departure
Leave the problem entirely. Select an unrelated domain (nature, art, sport, cooking, music, etc.) and explore it deeply using excursion-departure SOP. The key is genuine immersion — not looking for connections yet.
Stage 2: Force-Fit
Take the most interesting discoveries from the excursion domain and deliberately, forcefully connect them back to the original problem using force-fit SOP. Accept awkward connections — they often yield the best insights.
Stage 3: Springboard Launch
Convert the force-fitted connections into "I wish..." or "How to..." springboard statements using springboard-launch SOP. Develop the most promising springboards into concrete solution concepts.
Minimum Yield
| Metric | Floor |
|---|---|
| Excursion discoveries | ≥5 |
| Force-fitted ideas | ≥3 |
| Springboard statements | ≥3 |
| Concrete solutions | ≥2 |
Available SOPs
| SOP | Role |
|---|---|
| excursion-departure | Stage 1 — domain departure and exploration |
| force-fit | Stage 2 — force connections back to problem |
| springboard-launch | Stage 3 — convert to concrete solutions |
| direct-analogy-generation | Support — find analogies in excursion domain |
| synectics-synthesis | Post — synthesize excursion outputs |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| excursion-departure | Leave the problem entirely and explore an unrelated domain. Produces excursion domain discoveries for later force-fitting. |
| force-fit | Force-fit excursion discoveries back to the original problem. Deliberately create connections between unrelated findings and the challenge. |
| springboard-launch | Convert analogy insights into concrete feasible solutions. Transform abstract connections into actionable mechanisms. |