yogsoth-ai Resurrection Advocacy
Purpose: Construct the strongest possible case for candidates that were eliminated during convergence, ensuring rejection was based on genuine weakness rather than framing effects, anchoring bias, or insufficient consideration.
When to use:
- After convergence has produced a winner and eliminated alternatives
- When stakeholders express lingering doubt about rejected options
- When the elimination margin was narrow
- When rejected candidates had unique strengths not present in the winner
Budget
| Metric | Minimum |
|---|---|
| Candidates resurrected | >= 2 (top rejected) |
| Advocacy depth | Full case construction per candidate |
| Debate rounds | >= 2 per resurrected candidate |
State Ledger
resurrected_candidates: []
advocacy_cases: {}
debate_outcomes: {}
final_dispositions: {} # REAFFIRM_REJECTION | REVIVE | MERGE_STRENGTHS
Available Tactics
| Tactic | When to Deploy |
|---|---|
| adversarial-debate-protocol | Default — construct advocate, attack, judge cycle |
| multi-perspective-attack | When candidate has multi-stakeholder implications |
Available SOPs
- advocate-construction — build strongest case for rejected candidate
- critic-attack — attack the advocacy case
- judge-verdict — render final disposition
Execution Guidance
- Select top 2-3 rejected candidates by elimination margin or unique strength
- For each candidate, deploy adversarial-debate-protocol
- If judge verdict is REVISE, escalate to campaign orchestrator
- Record all dispositions in Challenge Ledger
Output Format
strategy: resurrection-advocacy
candidates_tested:
- candidate: <name>
advocate_strength: <1-10>
verdict: REAFFIRM_REJECTION | REVIVE | MERGE_STRENGTHS
key_argument: <strongest point>
conditions: <if any>
surviving_concerns: []
recommendation: <action>
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| adversarial-debate-protocol | Structured debate protocol that constructs an advocate, deploys critic attacks, and renders a judge verdict through iterative rounds. |
| multi-perspective-attack | Assign distinct perspectives to attack a decision from multiple angles, then synthesize findings into a unified assessment. |