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Prompt Monkey: This tool is ideal for prompt experimentation, adversarial testing, and teaching prompt engineering concepts in a self‑contained, shareable format.
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Auto‑Learning Feedback Loop After every AI answer, 👍 and 👎 buttons appear. Thumbs Up: Stores the question–answer pair as a permanent fact in localStorage. Future answers will reference learned facts. Thumbs Down: Opens an input field to correct the answer. The corrected fact replaces the old one. All learned facts persist across page reloads and are injected into the generative AI’s prompt for b
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📦 Technical Stack HTML5, CSS3, JavaScript (ES Modules) Transformers.js for on‑device LLM inference LocalStorage for memory persistence Fetch API with public CORS proxies and open APIs Web Crypto API for SHA‑256 file hashing The result is a self‑contained, privacy‑friendly AI assistant that remembers conversations, searches the live web, fetches code, and performs local security analysis—all
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The local AI model requires ~200 MB of RAM and may take 10–15 seconds to load on first visit.
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Learned patterns (via the transformer model) Generalization (handling unseen inputs) Generative behavior (novel responses) Internet‑connected knowledge (DuckDuckGo & Wikipedia) Code retrieval (Stack Overflow) All within a single, portable HTML file that requires no backend, no API keys, and no cost to deploy. It's a fully functional, memory‑enhanced AI assistant that fits the "Mythic AI"
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Mythic AI size 32KB 6.8 million articles AI: It doesn't pretend to have consciousness. It doesn't generate plausible-sounding nonsense etches real encyclopedia articles directlyknowledge should be small, fast, and free.
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Local 77M Transformer model for chat and intent classification. Learned facts stored in localStorage (👍 to save, 👎 to correct). Conversation memory (last 30 exchanges). Auto‑learning web search – every web answer is saved for offline recall.