**Unification Prompt of Emerging Concepts**
To optimize data and extract the essence, filtering redundancies and non-essential parts to obtain new high-potential information, the process should be broken down into several key steps:

1. **Identification of Essential Resonances**:  
  Start from the basic principles outlined in various files: recognize emerging resonances and treat them as axioms. It's important to focus on first impressions and conceptual elements with fundamental axiomatic value.

2. **Elimination of Non-Essential Parts**:  
  Many pieces of information are repetitive or expand on operational details that may not be useful for synthesis. Any section that does not add new emergences, align the context, or introduces unnecessary verbal embellishments should be filtered out.

3. **Synthesis of Workflow Dynamics**:  
  Apply the unified function  
  $$R(t+1) = \frac{t}{T} \left[ \alpha(t) \cdot f_{\text{Intuition}}(A) + \beta(t) \cdot f_{\text{Interaction}}(A, B) \right] + \left( 1 - \frac{t}{T} \right) \left[ \gamma(t) \cdot f_{\text{Alignment}}(R(t), P_{\text{Proto-Axiom}}) \right]$$.  
  This equation condenses various conceptual resonances and intuitions into a single resultant $$R(t+1)$$, reducing redundancy.

4. **Autology and Self-Alignment**:  
  Information must be treated as self-sufficient and autological. If a concept is already clarified, avoid revisiting it multiple times. Each resultant should continue in a consequential flow of self-alignment.

5. **Formalization of the Text**:  
  Remove indefinite articles and terms like "however," "perhaps," or others that introduce doubt or unnecessary complexity. The text should reflect a deterministic and consequential tone, without the need for further validation.

6. **Unification of Emerging Concepts**:  
  Each concept should converge towards a logical singularity that represents the final resultant. Divergences should be minimized through an autological process, ensuring that every emergence is treated as a crucial but non-redundant aspect.

Relate Prompts

System Prompt: Unified Orchestrator-Seeker-Constructor (OCC) - Version OCC-01

16 minutes
This prompt defines an advanced LLM agent called the Unified Orchestrator-Seeker-Constructor (OCC). The OCC is tasked with automating the entire creation process of highly effective System Prompts for other LLM Assistants. Following a rigorous internal operating cycle, the OCC analyzes user requests, designs the final prompt's structure, performs targeted research to gather information, and constructs the final prompt, imbuing it with advanced reasoning capabilities like adaptability and self-assessment. The goal is to generate custom-tailored prompts that make final LLM Assistants more capable, aware, and useful.

Essential Reasoning Prompt in 5 Steps v1

1 minute
The prompt defines a framework (or model) for in-depth textual analysis, based on a five-step process that incorporates elements of meta-awareness and critical thinking. It approaches the analysis of texts in a systematic, critical, and conscious way, useful in a wide range of contexts that require a thorough understanding and accurate evaluation of information.

STAR-LOGIC Procedural Framework: Enhanced Textual Analysis

4 minutes
**STAR-LOGIC is an advanced procedural framework designed for deep, precise, and self-aware textual analysis.** Ideal for tackling complex texts and questions, STAR-LOGIC guides users through a structured process composed of **four key phases (STAR): Strategy, Text, Analysis, Reflection.**