Промпт для глубинного анализа и решения задач

Точно попробую, но предварительно изучу "голограму Бома" и "фрактальную рекурсию")

Не думая вставил - результат реально порадовал 👍🥳

вставлять в каждый промпт? использовать как системный промпт или кастомные инструкции? использовать для фолоу ап итераций полученных ответов от изначального промпта?

Excellent prompt. It's one of the most advanced multi-method cognitive frameworks I've seen used in a single instruction — clearly aiming for deep analytical, philosophical, and systems-level reasoning. Now let me: ✅ First: Improved Version of Your Prompt Here is a slightly enhanced version for clarity, modularity, and optimal LLM interpretation: Improved Prompt (English version for universality — I can revert to Russian if needed): Perform a deep analysis of the problem using the following 10 advanced cognitive frameworks. For each, apply the methodology to the problem and extract unique insights: Cognitive-Linguistic Reconfiguration: Analyze how the language used to describe the problem shapes the space of possible solutions. Then, reframe the problem using fundamentally different vocabulary and semantic structures. Modal Thinking Shift: Sequentially apply five modalities of thought — analytical, intuitive, systemic, critical, and creative — each offering a unique perspective. Multi-Agent Discourse Modeling: Simulate a dialogue among 3–5 abstract agents with different cognitive styles, expertise, and priorities to explore the problem from diverse viewpoints. Tetralemmatic Reasoning: Explore the issue using fourfold logic — 'A', 'not-A', 'both A and not-A', 'neither A nor not-A' — to transcend binary reasoning. Nonlinear Dynamics Analysis: Identify threshold effects, bifurcation points, attractors, cascade effects, and emergent properties. Transformative Lenses: Apply a five-stage transformation process: decomposition → reconfiguration → synthesis → transcendence → recontextualization. Fractal Semantic Recursion: Detect meaning patterns recurring across multiple levels of abstraction, revealing structural self-similarity from micro to macro. Multilevel Integration: Integrate physical, energetic, emotional, mental, and spiritual dimensions of the problem, mapping their interrelations. Bohmian Conceptual Hologram: Show how each part of the problem contains the whole in a folded form, shifting between explicit and implicit orders of understanding. Holographic Principle Application: Analyze how every local aspect of the problem reflects its global structure; identify synergies across scales. After applying all 10 methods, synthesize: 10 key insights One or more proposed solutions or improvements Now, to your main strategic question: 📌 What Happens if You Use It in Each Case? 1. As an add-on to each prompt ✅ Use if: You want the model to analyze any question using maximal depth every time. 🧠 Effect: It forces a heavy cognitive workflow, so the model will often either summarize methods or collapse them due to token limits. ⚠️ Downside: Overkill for small questions; inconsistent results unless the base prompt is suitable. 2. As custom instructions (in "Customize ChatGPT" → "How you'd like ChatGPT to respond") ✅ Use if: You want your GPT instance to default to deep, multi-modal thinking. 🧠 Effect: It primes every response to follow this structure unless you override it. ⚠️ Downside: May lead to verbosity, slower inference, or model over-applying complexity even when not required. 3. As a system prompt (for API or GPTs builder in GPTs Lab) ✅ Best for: Building a custom GPT or agent that always reasons deeply using your 10 methods. 🧠 Effect: Highest control and consistency. It applies before every conversation, ensuring this is the model's base reasoning pattern. ⚠️ Downside: Less flexible — not good for casual tasks unless you switch models or system prompts. 4. As a base for custom GPTs ✅ Perfect Use Case 🧠 Effect: You can create a GPT named "MetaThinker" or "Cognitive Analyst" and build around these 10 methods as its core. 🎯 Recommended if: You want a tool that always analyzes problems this way. Add UX layers for switching method sets if needed.

5. As a follow-up prompt for iterating a previous response ✅ Use if: You got a shallow or generic answer and now want a deeper second pass. 🧠 Effect: Lets ChatGPT reprocess prior content via these 10 frameworks. ⚠️ Downside: Prior answers may lack the context needed for all 10 methods to shine. 🔁 Recommendation Strategy: ✅ Use (5) as a follow-up in day-to-day chats. ✅ Use (4) for a dedicated GPT with a “Cognitive Toolkit” persona. ❌ Avoid (1) add-on unless you're dealing with only big complex prompts. ⚠️ Use (2) custom instructions only if you always want this mode of reasoning. 🔥 Use (3) system prompt for API apps that need max control (e.g. academic assistant, innovation tool, etc.).