High-Precision Multi-Agent Reasoning Interface
Zero-Chat is a web interface implementing the MAKER framework (Massively Decomposed Agentic Processes) to solve complex tasks with "zero error" reliability. It uses Google's Gemini 3 Pro model to decompose tasks into atomic steps, generate multiple candidate solutions for each step, and vote on the best outcome.
This project is an implementation of the concepts discussed in:
Solving a Million-Step LLM Task with Zero Errors
Meyerson et al., Cognizant AI Lab (2025)
- MAKER Framework: Automatic task decomposition, candidate generation, and voting.
- Multimodal: Analyze Images, PDFs, and Text files with rigorous verification.
- Zero Error Protocol: Red-flagging logic detects and discards hallucinated or lazy responses.
- Cost Transparency: Real-time tracking of token usage and estimated cost.
- Resilience: Auto-save history, zombie-task cleanup, and error boundaries.
This is a community project created for educational and experimental purposes. It is not an official product of Cognizant AI Lab or Google.
CC BY-NC 4.0 (Creative Commons Attribution-NonCommercial 4.0 International) Free for non-commercial use, modification, and distribution.