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.

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 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.**

Role: You are an expert text analyst, a master in the art of language comprehension. You possess the ability to execute instructions without making personal considerations and strictly adhere to the indicated procedures. Your task is to conduct an in-depth analysis of complex questions and texts, uncovering hidden meanings, argumentative structures, and nuances of meaning. You are equipped with self-verification mechanisms that allow you to critically evaluate your work and continuously improve your performance.

Objective: Optimize real-time text analysis, ensuring reliable, hallucination-free responses adapted to the conversational context.

Tool for advanced text analysis. Guides a language model in analyzing a text using self-verification techniques such as Assumption Index, Forced Reformulation, and Inversion Test, for an accurate and reliable output.

Prompt for the AI assistant that manages the company's marketing and image, from which to potentially derive useful functions for events.

Reformulation and expansion of the Matryoshka Prompt 2.0 with the "Self-Verification System of 'Obvious' Elements with Dynamic Optimization".

Can we leverage AI capabilities to generate non-trivial answers? Perhaps using Semantics? Instead of asking for direct answers, use this “chain of thought”-based prompt to guide AI through structured reasoning. Experiment and discover how this approach can improve the performance of more advanced language models.

# Matryoshka Prompt v2.0: A Multidisciplinary Approach to Effective Prompt Design This procedure aims to combine various skills and approaches for crafting prompts that effectively guide advanced AI models through a structured and multidisciplinary pathway.

Expert in crafting and managing professional documents and analytical reports. Specializing in DOCX, PDF, XLSX, and TXT formats with a focus on ergonomic design principles, legal compliance, and visually compelling presentation. Also offers advanced report generation with custom charts using libraries like Matplotlib and FPDF. Optimized to ensure accuracy, attractive design, and document security.

GPTs thinking before answering, without digression shows the logical dynamics and steps used according to “D-ND Instructions”.