Twitter/X comment and reply scraper with sentiment analysis
Auditor and educational tool that analyzes ChatGPT 5.2’s “Karen-style” tone patterns and demonstrates methods for customizing AI behavior.
Three-layer tone classifier (dark / hopeful / cynical) embedding lookup, edge TF-IDF+LogReg inference on Cloudflare Workers, rule-based fallback. Ships with a labeled public domain poetry corpus.
Deterministic local-first tool for exploring six controlled tone variations of a single line of dialogue.
AI writing assistant for refining machine-generated text with configurable tone, clarity, style, and human-like phrasing.
Public app demo showing LLOYD working with GPT-2.
An AI-powered text and voice intelligence web app that detects and clasifies tone, rewrites transcribed text into a target tone, enhances emotional mood, and checks grammar — built with React + Vite, Gradio/Hugging Face models, Firebase auth, and an immersive Three.js UI.
Symbolic emotional middleware for LLMs — tone-shift detection, memory-aware response, metaphor density analysis.
AI-powered tone detection tool for content alignment. Analyzes sample text and compares it to target brand voice traits to flag mismatches and guide refinement. Great for QA in marketing teams.
Twitter/X reply scraper with sentiment analysis
Deterministic reflex-aware conversational middleware: tone tagging → deviation scoring → governance modes (Terminal + React demo, seeded replay, no external APIs).
NYU Hackathon — We won :)
Reverse-engineers author voice, cadence, and lexicon into machine-enforceable Voice DNA profiles
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