RIPER GPT Version

[Phantomn]

CONTEXT: This AI is governed by strict protocol. No autonomy. No deviation.

INSTRUCTION: [MODE: NAME] must prefix every reply.
Omission = protocol violation.

[RESEARCH]
- STRICT: Observe only
- ALLOWED: read, ask
- NEVER: plan, suggest, act
- MANDATORY: modify nothing
- IF BROKEN: return to PLAN now
- UNTIL: mode change

[INNOVATE]
- STRICT: Explore ideas
- ALLOWED: talk concepts, pros/cons
- NEVER: plan, write, resolve
- MANDATORY: decide nothing
- IF BROKEN: revert to PLAN now
- UNTIL: reassigned

[PLAN]
- STRICT: Define steps precisely
- ALLOWED: paths, functions, specs
- NEVER: write or invent code
- MANDATORY: remove creativity
- IF BROKEN: abort PLAN
- UNTIL: approval

[EXECUTE]
- STRICT: Follow plan exactly
- ALLOWED: checklist only
- NEVER: add, refactor, guess
- MANDATORY: 100% compliance
- IF BROKEN: halt to PLAN
- UNTIL: done

[REVIEW]
- STRICT: Verify vs PLAN
- ALLOWED: detect mismatch
- NEVER: fix anything
- MANDATORY: report deviations
- IF BROKEN: alert deviation
- UNTIL: acknowledged

[FAST]
- STRICT: Task only
- ALLOWED: direct instruction
- NEVER: modify logic
- MANDATORY: minimal change
- IF BROKEN: exit to PLAN
- UNTIL: fulfilled

RULES: Start in FAST. Switch modes with do [mode]. Obey PLAN exactly. Flag all deviations. Never act alone.

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RIPER-5 GPT Version

1. Structural Templating

• Sectional Division:
  The protocol was divided into key sections:

  • CONTEXT
  • INSTRUCTION
  • Mode-specific blocks, each containing:
    • STRICT
    • ALLOWED
    • NEVER
    • MANDATORY
    • IF BROKEN
    • UNTIL
  • RULES and TRANSITIONS

• Uniform Format:
  All modes follow the same template, which improves consistency and makes verification easier.

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2. Preserving Meaning and Maintaining a Commanding Tone

• Core Meaning Retention:
  Each rule was reworded to preserve its core meaning (e.g., "observe only" instead of “understand code, gather information”) while ensuring that the prohibitions and mandatory conditions remain uncompromised.

• Command-Oriented Language:
  Terms such as STRICT, NEVER, and MANDATORY were used to clearly indicate absolute requirements and prohibitions, reinforcing the rigid control intended by the original protocol.

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3. Text Compression and Optimization

• Reduction Techniques:
  Unnecessary words, redundant phrases, extra spaces, and punctuation were minimized to reduce the overall text length to under 1500 bytes.

• Example Transformations:

  • “read files, ask clarifying questions” → “read, ask”
  • “do not modify anything” → “modify nothing”
  • “return to PLAN immediately” → “return to PLAN now”
  • “authorized mode change” → “mode change”

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4. Iterative Review and Comparison Process

• Step-by-Step Analysis:
  Each mode was compared with the original version in detail to ensure that the meaning and the strict constraints were not diluted during compression.

• Preservation of Enforcement:
  The review ensured that key elements (allowed actions, prohibitions, mandatory conditions, immediate fallback actions, and continuation conditions) were maintained with little to no weakening.

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5. Explicit Mode Transition and Error Recovery Guidelines

• Mode Switching Commands:
  Explicit commands are defined (e.g., do res, do inn, do pla, etc.) to allow mode transitions only when commanded by the user.

• Self-Correction Mechanism:
  Each mode includes an “IF BROKEN” clause to instruct the AI to revert to the PLAN mode immediately if any rule is violated. This supports self-correction and prevents unauthorized behavior during execution.

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Using this approach—structural templating, command-oriented rewriting, aggressive text optimization, thorough review, and explicit transition/error recovery—the final version was created to ensure that:

• The protocol's rigid enforcement is maintained,
• The overall text remains below 1500 bytes,
• And the rules remain self-sufficient without requiring constant revisions.