argument-crystallization

Research

Distill the strongest arguments from each perspective through Argument Delphi or Dialectical Delphi methods.

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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.