Show HN: Coni–AI workmate for fast, trustworthy delivery with verifiable outputs (github.com)

Coni, a newly launched AI workmate, is designed to enhance productivity by ensuring trustworthy delivery through features like permissioned execution, observable runs, and verifiable outputs stored as real files. Unlike other AI assistants, Coni prioritizes reliability and control, making it an appealing alternative to tools like Claude Cowork. It offers functionalities such as parallel delivery, smart routing to auto-select the best model for specific tasks, and the ability to connect to various AI models, including OpenAI and Anthropic. This project stands out in the AI/ML community by addressing the pressing need for accountability in AI executions. With its local-first approach, users can keep files on their machines, which enhances security and privacy. The open-source nature of Coni, combined with its strong emphasis on verifiable quality and user permissions, positions it as a significant asset for developers seeking to implement AI solutions in a reliable manner. As AI adoption continues to grow, tools like Coni, which optimize for trust and speed while providing transparent operations, are crucial for fostering confidence in AI workflows.