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.
NYU Hackathon — We won :)
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.
Public app demo showing LLOYD working with GPT-2.
Symbolic emotional middleware for LLMs — tone-shift detection, memory-aware response, metaphor density analysis.
Deterministic reflex-aware conversational middleware: tone tagging → deviation scoring → governance modes (Terminal + React demo, seeded replay, no external APIs).
Twitter/X reply scraper with sentiment 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.
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