yogsoth-ai Argument Crystallization
Purpose: Rather than converging on a single answer, crystallize the strongest possible arguments for each position. Uses Argument Delphi (focus on argument quality over agreement) and Dialectical Delphi (thesis-antithesis-synthesis) to produce the most rigorous version of each stance.
When to use:
- Policy deliberation requiring clear pro/con articulation
- Interdisciplinary disputes where each field has valid concerns
- Pre-decision analysis where decision-makers need best arguments
- Situations where the goal is argument quality, not agreement
Budget
| Parameter | Constraint |
|---|---|
| Rounds | 2–3 (refine arguments, not opinions) |
| Perspectives | ≥4 independent |
| Argument quality gate | Each argument must be steel-manned |
State Ledger
| Key | Type | Description |
|---|---|---|
| question | string | The deliberation question |
| perspectives | array | Contributing perspectives |
| initial_arguments | array | First-round arguments |
| critiques | array | Cross-perspective critiques |
| refined_arguments | array | Steel-manned final arguments |
| synthesis | object | Points of agreement and irreducible tensions |
Available Tactics
- disagreement-mapping — Identify argument clusters
- iterative-convergence-round — Refine arguments across rounds
Available SOPs
- judgment-collection
- cluster-analysis
- argument-extraction
- feedback-distribution
- consensus-measurement
- consensus-synthesis
Execution Guidance
- Collect initial positions with supporting arguments
- Cross-distribute: each perspective critiques and steel-mans others
- Authors refine arguments incorporating strongest critiques
- Identify points of genuine agreement vs. irreducible tensions
- Produce crystallized argument map with quality ratings
Output Format
positions:
- label: <position name>
strongest_arguments: [...]
acknowledged_weaknesses: [...]
steel_man_version: <best possible formulation>
agreements:
- point: <shared conclusion>
strength: <how robust>
irreducible_tensions:
- between: [position_a, position_b]
nature: <empirical/value/priority>
why_irreducible: <explanation>
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| disagreement-mapping | Map disagreement structure by collecting judgments, clustering opinions, extracting arguments per cluster, and visualizing fault lines. |
| iterative-convergence-round | Execute one full Delphi round — collect judgments, distribute anonymous feedback, measure consensus, decide whether to continue. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| consensus-synthesis | Synthesize all rounds into a final consensus report documenting agreements, dissent, and process. |