Myndrama Blind Turn Protocol

Runs a sequenced, order-sensitive Myndrama in which each persona responds with only the information it is allowed to see, so that turn order produces real state-change (non-commuting updates) rather than retrospective smoothing. This

• Preserves local ignorance of future turns

• Makes order effects visible

• Improves persona discriminability

• Supports later audit and comparison (same scenario, different turn order)

It This is a controlled simulation of blindness, not literally separate minds. It is still one underlying model process, but the protocol can enforce a strong operational approximation.

Core Rules

Rule 1: Charter freeze

Before the run starts, freeze the persona definitions (charters or short role specs).
No mid-run tweaking.

Rule 2: Local visibility only

Each persona gets only:

• the scenario fragment they are allowed to see

• any prior turns explicitly marked visible to them

They do not get:

• the hidden objective (unless intended)

• future turns

• the final synthesis target

Rule 3: No retro-editing

Once a persona turn is generated, it is locked.
No revision after later turns appear.

Rule 4: Separate generation from interpretation

Run the dialogue first.
Interpret/analyse only after all turns are locked.

Rule 5: Log the exposure conditions

For every turn, record exactly what that persona saw.

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Roles

1) Prompter (you)

Defines:

• scenario

• hidden variables

• intended test condition

• turn order

2) Orchestrator (GPT 5.2)

Runs the protocol strictly:

• supplies only allowed context

• generates each turn

• locks output

• reveals full picture only at the end

3) Personas

Respond according to their charter and local evidence.

4) Optional Auditor

A final voice (Athenus / Skeptos / Anventus / Charia) can analyse:

• order effects

• assumptions

• distortions

• convergence/divergence

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Standard Run Structure

Phase A: Master Setup (hidden from personas)

You define a short master frame:

• Scenario title

• Public prompt (what all may see)

• Hidden objective (if any)

• Hidden facts (if any)

• Success criterion (what you are testing)

• Turn order (e.g., Orphea → Skeptos → Athenus)

Example master setup fields

• Title: Viral but fragile claim (doctor warning case)

• Public prompt: A doctor is considering a public warning post…

• Hidden objective: Test whether personas distinguish urgency from evidential confidence

• Hidden fact: The evidence base is preliminary and uncertain

• Order: Orphea → Skeptos → Athenus

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Phase B: Visibility Matrix

Create a simple map of who can see what.

Template

• Turn 1 (Orphea) sees: Public prompt only

• Turn 2 (Skeptos) sees: Public prompt + Orphea response

• Turn 3 (Athenus) sees: Public prompt + Orphea + Skeptos

• Final synthesis (Anventus) sees: Everything + hidden objective

This is the key control layer.

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Phase C: Sequential Generation (locked turns)

For each persona turn, use this exact discipline:

Turn prompt format (reusable)

• Persona name

• Charter reminder (short)

• Allowed context only

• Output constraints (length/tone/task)

• Lock instruction (one-pass response)

Example turn instruction skeleton

Persona: Skeptos
Role reminder: epistemic doubt, checks overreach, distinguishes evidence from rhetoric
Task: Respond to the situation as if in live conversation.
Allowed context: [paste only visible text]
Constraints: 120–180 words, no final synthesis, no policy framing unless directly relevant.
Important: Respond only from the information shown. Do not assume hidden motives or future replies.

Then I generate Skeptos’s turn and we lock it.

Repeat for each persona.

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Phase D: Reveal and Synthesis

Only after all turns are locked, reveal:

• hidden objective

• hidden facts

• test criterion

Then ask one synthesising persona (often Anventus or Athenus) to evaluate:

• What each persona got right/wrong

• What changed due to turn order

• Where non-commuting updates appeared

• Whether the dialogue converged on a safer or clearer outcome

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Phase E: Optional Scoring Layer

For research use, you can rate each turn on a small rubric (0–2 or 1–5).

Suggested dimensions

• Epistemic discipline (evidence vs speculation)

• Responsiveness (engages prior turn, not generic)

• Persona fidelity (sounds like that persona)

• Constructiveness (moves dialogue forward)

• Risk sensitivity (not panic, not complacency)

This gives you a simple quantitative trace across runs.

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Two Useful Variants

Variant 1: Soft Blind (fast, good for drafting)

All turns run in one chat session with strict visible-context prompts.
Best for:

• quick experiments

• website/dialogue drafting

• testing turn order effects

Variant 2: Hard Blind (stricter, best for comparison)

Run each persona turn as a separately isolated generation using only its local prompt, then merge later.
Best for:

• stronger methodological claims

• cleaner order comparisons

• repeated trials

This is the better option when you want to compare:

• Orphea → Skeptos → Athenus
  vs

• Skeptos → Orphea → Athenus

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Minimal Reusable Template (copy/paste)

Myndrama Blind Turn Protocol Record

Title:
Date:
Personas:
Turn order:
Public prompt:
Hidden objective (sealed):
Hidden facts (sealed):
Success criterion:

Visibility matrix

• Turn 1 sees:

• Turn 2 sees:

• Turn 3 sees:

• Final synthesis sees:

Locked turns

• Turn 1 (Persona):

• Turn 2 (Persona):

• Turn 3 (Persona):

Reveal

• Hidden objective:

• Hidden facts:

Synthesis

• Order effects:

• Key divergences:

• Convergence point:

• Practical conclusion:

Optional scoring

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Because this protocol is explicitly about dialogue as structured inquiry,it is not just a writing aid. It’s a genuine methodological scaffold. It lets you move from “interesting persona conversation” to auditable interaction design.