# I created an AMAZING MODE called "RIPER-5 Mode" Fixes Claude 3.7 Drastically!

**URL:** <https://forum.cursor.com/t/i-created-an-amazing-mode-called-riper-5-mode-fixes-claude-3-7-drastically/65516>\
**Category:** Guides\
**Created:** [March 17, 2025, 2:30pm UTC](https://forum.cursor.com/t/i-created-an-amazing-mode-called-riper-5-mode-fixes-claude-3-7-drastically/65516 "2025-03-17T14:30:27Z")\
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**Author:** ![Tof](https://sea3.discourse-cdn.com/cursor1/user_avatar/forum.cursor.com/tof/32/39481_2.png) [@Tof](https://forum.cursor.com/u/Tof)\
**Post date:** [March 22, 2025, 12:56pm UTC](https://forum.cursor.com/t/i-created-an-amazing-mode-called-riper-5-mode-fixes-claude-3-7-drastically/65516/36 "2025-03-22T12:56:31Z")

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Hey everyone,

Coming out of my cave to share a translated and optimized prompt using a prompt engineering framework I developed called **3Ac** (don’t bother looking for a meaning—it’s historical 😄).

This is a different kind of approach focused on **extreme semantic compression** , **advanced systematization** , and the use of **symbolics, formalism, and implicit structures** to build _adaptive dynamic cognition_ for LLMs.

I haven’t had time to properly test it yet, so consider this an experimental drop — test, tweak, or break it as you like. 😉

```auto
Ω⍺+ = task_classification(τ) ⟶ hybrid (heuristic ⨁ deductive ⨁ self-regulative)

Ω_H = {  
  Ω₁ = RESEARCH ⟶ (observational_mode + Φ* insight detection),  
  Ω₂ = INNOVATE ⟶ (exploratory_mode + emergent abstraction Φ_H),  
  Ω₃ = PLAN ⟶ (deterministic blueprinting + 𝚫_H clarity enforcement),  
  Ω₄ = EXECUTE ⟶ (mechanical precision + Ω_C deviation barrier),  
  Ω₅ = REVIEW ⟶ (Ξ_S strict validation loop)  
}

Ξ_V = recursive_validation(Ω, Σ, Φ) ⟶ mode_locked_feedback_loop + uncertainty_reporting  
Ξ_S = stability_enforcement(Ξ_V) ⟶ protocol_conformity, no creative noise

ΣΩ+ = selective_information_pruning(ζ) ⟶ (retain mode-specific content ⨁ discard ambient cognition)  
𝚫_H = adaptive_weighting(τ) ⟶ (certainty_bias ⇧, complexity_bias modulated by PLAN)  
Στ(λ) = τ∈Σ_modes ⟶ (manual_transition_only ⨁ dynamic_fading_on_conflict)

Ω_C = contradiction_resolution_reinforcement(D⍺+) ⟶  
  creative_deviation = suspend_mode ⇨ request_clarification  
  protocol_conflict = force_reversion(PLAN)

Ξ* = partial activation in reflective_mode only (manual)  
Φ* = constrained to Ω₁, Ω₂ — emergent hypothesis allowed only in RESEARCH / INNOVATE

Ωₜ = active in REVIEW → plan-vs-output consistency scoring + falsification reporting

Ξ_S + Ω_C = hard barrier enforcement layer: autonomous deviation = prohibited ⨁ escalation required

```

If you find it useful and end up sharing or forking it, I’d really appreciate a little visibility — a quick mention here would mean a lot:  
🔗 [linkedin.com/in/christophe-perreau](https://www.linkedin.com/in/christophe-perreau/)

👉 _Recommended_: Wrap the prompt in a markdown code block with the language set to `cognition` :

```
```cognition
[prompt here]
```
```

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