Mycora is an AI assistant that demonstrates sophisticated prompt engineering and semantic understanding. Rather than treating conversations as simple Q&A exchanges, Mycora decomposes user messages into structured semantic components—extracting subjects, actions, objects, emotions, and contextual tags—creating a rich representation of intent and meaning.

The system showcases transparent AI architecture: users can "pull back the curtain" to see both the engineered prompts that structure the AI's responses and the JSON output that feeds into the semantic graph layer.

Mycelium: Semantic Knowledge Graphs

Mycelium provides the underlying semantic knowledge graph architecture, designed to give AI agents persistent memory and contextual awareness across conversations. By storing thoughts as interconnected nodes with attribution and relationships, Mycelium enables AI systems to maintain coherent context over time—addressing one of the fundamental challenges in conversational AI.

Key Technical Contributions

  • Structured prompt engineering with strict output validation for reliable AI responses

  • Semantic decomposition of natural language into queryable graph structures

  • Dual-output rendering (natural language + structured JSON) for transparency

  • Hybrid architecture combining real-time LLM reasoning with persistent graph-based memory

Built with: Flutter (Mycora interface), designed for integration with graph databases (Mycelium backend)

Mycora is an AI assistant that demonstrates sophisticated prompt engineering and semantic understanding. Rather than treating conversations as simple Q&A exchanges, Mycora decomposes user messages into structured semantic components—extracting subjects, actions, objects, emotions, and contextual tags—creating a rich representation of intent and meaning.

The system showcases transparent AI architecture: users can "pull back the curtain" to see both the engineered prompts that structure the AI's responses and the JSON output that feeds into the semantic graph layer.

Mycelium: Semantic Knowledge Graphs

Mycelium provides the underlying semantic knowledge graph architecture, designed to give AI agents persistent memory and contextual awareness across conversations. By storing thoughts as interconnected nodes with attribution and relationships, Mycelium enables AI systems to maintain coherent context over time—addressing one of the fundamental challenges in conversational AI.

Key Technical Contributions

  • Structured prompt engineering with strict output validation for reliable AI responses

  • Semantic decomposition of natural language into queryable graph structures

  • Dual-output rendering (natural language + structured JSON) for transparency

  • Hybrid architecture combining real-time LLM reasoning with persistent graph-based memory

Built with: Flutter (Mycora interface), designed for integration with graph databases (Mycelium backend)

Mycora is an AI assistant that demonstrates sophisticated prompt engineering and semantic understanding. Rather than treating conversations as simple Q&A exchanges, Mycora decomposes user messages into structured semantic components—extracting subjects, actions, objects, emotions, and contextual tags—creating a rich representation of intent and meaning.

The system showcases transparent AI architecture: users can "pull back the curtain" to see both the engineered prompts that structure the AI's responses and the JSON output that feeds into the semantic graph layer.

Mycelium: Semantic Knowledge Graphs

Mycelium provides the underlying semantic knowledge graph architecture, designed to give AI agents persistent memory and contextual awareness across conversations. By storing thoughts as interconnected nodes with attribution and relationships, Mycelium enables AI systems to maintain coherent context over time—addressing one of the fundamental challenges in conversational AI.

Key Technical Contributions

  • Structured prompt engineering with strict output validation for reliable AI responses

  • Semantic decomposition of natural language into queryable graph structures

  • Dual-output rendering (natural language + structured JSON) for transparency

  • Hybrid architecture combining real-time LLM reasoning with persistent graph-based memory

Built with: Flutter (Mycora interface), designed for integration with graph databases (Mycelium backend)

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Reach out anytime

Let’s Stay Connected

Got questions or want to collaborate? Feel free to reach out—I'm open to new projects or just a casual chat!

Reach out anytime

Let’s Stay Connected

Got questions or want to collaborate? Feel free to reach out—I'm open to new projects or just a casual chat!

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