Update README.md

Author: dreamer-coding

README.md

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 # ***Jellyfish AI Library by Fossil Logic***
 
-Jellyfish is a lightweight, portable AI library written in pure C with no external dependencies. Designed for embedded and trust-critical systems, it uses blockchain-inspired techniques to provide transparent, verifiable learning and memory. Each input/output interaction is stored as a cryptographically hashed block, forming a tamper-resistant chain of reasoning and decisions. The system can learn from past inputs, respond based on memory, and automatically prune outdated or irrelevant data. This makes fossil_jellyfish ideal for AI applications that demand traceability, minimal resource usage, and self-cleaning behavior.
+Jellyfish is a lightweight, portable AI library written in pure C with no external dependencies, purpose-built for embedded environments and trust-critical systems. Its architecture centers around transparent AI principles, using blockchain-inspired techniques to make all learning, memory, and reasoning fully auditable. Every interaction—input, decision, or output—is recorded as a cryptographically hashed block, creating an immutable, traceable chain of logic that preserves the system’s decision lineage. This enables developers to inspect exactly how and why the system reached a conclusion, down to the model, token, and rule used. The engine supports memory-based reasoning, adaptive learning from prior inputs, and automatic pruning of obsolete or conflicting knowledge, ensuring the system evolves without accumulating contradiction or noise. These features make Jellyfish a foundation for AI systems where verifiability, traceability, and long-term ethical transparency are non-negotiable.
 
 ```meson
 # This is the primary logic bundle for TAI personality