Just tested this with a few dream inputs and was impressed by how efficiently the static keyword-matching engine gave relevant interpretations. For something built without server side logic or ML inference, it's surprisingly consistent. The use of localStorage for persistent journaling is a smart touch for privacy first use cases. That said, there’s huge potential here for AI integration. Imagine layering a lightweight NLP model (e.g., via a WebAssembly compiled transformer or local LLM like ggml) to detect thematic expressions or handle open-ended phrasing. Could even explore hybrid pipelines start with symbolic matching, then pass low-confidence segments to an on device AI interpreter with a fine-tuned emotional tone model. Overall, super interesting prototype. Would love to see a v2 explore the intersection of symbolic dream logic language modeling.