Multi-Brain Score Protocol

Add quantified confidence scoring to any multi-brain decision. Each perspective rates its own confidence, and the consensus uses scores as decision weights. Uncertainty becomes visible instead of hidden.

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Workflow

1. Run base multi-brain (3 perspectives)
2. Each instance scores its confidence (1-10)
3. Weighted consensus based on scores
4. Flag uncertainty zones
5. Produce full output with scores visible

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Step 1: Perspectives with Scores

Each instance provides their perspective plus a confidence score:

## 🧠 Brainstorm (Scored)

**Instance A — Creative:** (Confidence: 6/10)
[2-3 sentences]
_Confidence rationale: Novel approach but limited precedent in production._

**Instance B — Pragmatic:** (Confidence: 9/10)
[2-3 sentences]
_Confidence rationale: Well-established pattern, used this successfully before._

**Instance C — Comprehensive:** (Confidence: 7/10)
[2-3 sentences]
_Confidence rationale: Good coverage of risks but missing data on edge case X._

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Step 2: Score Analysis

Before consensus, analyze the confidence landscape:

## 📊 Confidence Analysis

| Instance | Score | Strength | Weakness |
|----------|-------|----------|----------|
| A — Creative | 6/10 | High potential impact | Unproven approach |
| B — Pragmatic | 9/10 | Battle-tested | May miss innovation |
| C — Comprehensive | 7/10 | Risk-aware | Incomplete data |

**Average Confidence:** 7.3/10
**Spread:** 3 points (moderate disagreement)
**Highest Confidence:** Instance B

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Step 3: Weighted Consensus

Use confidence scores to weight the consensus:

• High confidence (8-10): This perspective's core recommendation carries heavy weight.
• Medium confidence (5-7): Consider as a modifier or secondary input.
• Low confidence (1-4): Flag as an area needing more research before deciding. Do not ignore — surface it as a risk.

## ⚖️ Weighted Consensus

**Primary direction:** [Based on highest-confidence perspective]
**Modified by:** [Elements from medium-confidence perspectives]
**Flagged for research:** [Low-confidence areas that need validation]

**Overall Decision Confidence:** [Weighted average]/10

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Step 4: Uncertainty Flags

If any perspective scores below 5, or if the spread between scores is > 4:

> ⚠️ **Uncertainty Alert:** [Description of what is uncertain and what would resolve it]

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Step 5: Full Output

Mandatory: The final response must include all scored perspectives, the confidence analysis table, the weighted consensus, any uncertainty flags, and the complete deliverable.

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Scoring Rubric

Score	Meaning	When to Use
9-10	Near-certain	Strong evidence, proven pattern, minimal unknowns
7-8	Confident	Good reasoning, some minor unknowns
5-6	Moderate	Reasonable approach but notable gaps
3-4	Low	Speculative, lacks supporting evidence
1-2	Guess	No solid basis, flagging for transparency

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Guardrails

• Always show scores inline with perspectives — they are part of the deliverable.
• Confidence rationale is mandatory — a bare number without explanation is useless.
• Never inflate scores — honest uncertainty is more valuable than false confidence.
• If all scores are below 5, recommend more research before deciding instead of forcing a weak consensus.
• Scores should create action items — low scores become "things to validate."
• This protocol can be combined with base multi-brain or multi-brain-experts.

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References

• See references/EXAMPLES.md for scored decision examples.