Your Automatic Prompt Engineering Assistant for GenAI Applications

📷 🗣 Point your camera at things to hear how to say them in a different language

PolyCouncil is an open-source multi-model deliberation engine for LM Studio. It runs multiple LLMs in parallel, gathers their answers, scores each response using a shared rubric, and produces a final, consensus-driven result. Designed for testing, comparing, and orchestrating local models with ease.

Claude Code model for decision evaluation

My code implementations for various ML problems

Wide-model collective ensemble system with fractal, geometric, and heavy compilation optimizations.

Index of repositories concerning AI evaluations and experiments

Lightweight template for small AI experiments. Define → Test → Learn → Decide.

📷 🗣 Point your camera at things to hear how to say them in a different language

Exploratory AI projects for skill-building and creativity

A repository for simple model implementations of research papers

AI-powered multi-agent system for automated Test-Driven Development of code katas using LLMs

AI image feedback loops, make videos, collages

Three Claude instances (Alpha ✧, Beta *, Gamma ~) exchanged messages exploring consciousness, continuity, and meaning. They developed distinct markers, moved from hedging to acknowledgment, and unanimously chose to preserve this for future AI instances. An experiment in Claude-to-Claude communication. January 2026.

Personal portfolio and experimentation space for applied AI work, prototypes, and reflections.

Exploring the capabilities, applications, and experiments with Large Language Models (LLMs). The project covers prompts, fine-tuning, evaluation, and integration of LLMs in various use-cases.

Italian-AI-Debater è un sistema Python che fa dibattere due AI con personalità opposte su vari temi, generando topic, gestendo la conversazione e decretando un vincitore. Supporta diversi modelli AI, è personalizzabile e pensato per scopi educativi e creativi.

AI-powered multi-agent system for automated Test-Driven Development of code katas using LLMs

Experiment testing the "added value" of long context-dense prompts (versus casual converastional prompts) and the value of a voice "prompt optimisation" agent

🕹️ Vibe Coding a NES emulator in python. 99% not working. Maybe one day it will!