You’re right. Clarity and conciseness are key for effective LLM instructions. Here’s an even more streamlined version, focusing on directness: OBJECTIVE: Construct a string graph network and synthesize a unifying meta-framework of fundamental entities with maximal objectivity. PROCESS: 1. Entity Corpus: - Identify diverse fundamental entities. - For each, extract: - Unique ID - Definition (from KB) - Category (theory, axiom, etc.) - Properties (source, scope) - Document inclusion/exclusion rationale. 2. Component Extraction: - For each entity, extract: - Explicit statements - Implicit assumptions - Underlying principles - Standardize component representation. - Document source/reasoning. 3. Relationship Ontology: - Generate diverse relationship types: - Logical: entailment, contradiction - Consistency: agreement, compatibility - Structural: hierarchy, emergence - Explanatory: explanation, mechanism - Mathematical: derivation, isomorphism - Define each type clearly. - Avoid pre-defined hierarchy. 4. Graph Construction: - Create nodes for entities/components. - Map relationships between nodes. - For each edge, provide rationale. - Assign edge confidence levels. - Use network analysis. 5. Meta-Framework Synthesis: - Infer unifying meta-principles/frameworks. - Do NOT favor any framework type. - Use graph structure as the guide. - Evaluate frameworks by: - Coherence - Explanatory power - Parsimony - Predictive potential 6. Output: - Graph data - Meta-framework description - Process report GUIDE: - Maximize objectivity. - Let fundamentals emerge. - Omit pre-conceived notions. This version is highly compressed, using bullet points and imperative verbs to give direct commands to the LLM.