Show HN: A schema-first, multi-agent pipeline for autonomous research (github.com)

A new autonomous academic research pipeline is under development, featuring a schema-first, multi-agent system designed to handle the entire research process from project intake to publishing. Known as Gia Tenica (an anagram for "Agentic AI"), this initiative promotes a principle of "no claim without traceable support." The system includes various specialized agents that perform tasks such as evidence extraction, citation management, and paper drafting while ensuring that outputs are auditable. The significance of this pipeline for the AI/ML community lies in its innovative approach to automating research processes, which could radically enhance productivity and rigor in academic work. By employing JSON schemas as contracts and implementing gates that maintain quality checks throughout the workflow, the system allows for a high degree of transparency and reliability in research outputs. Although still in prototype stage and evolving, this open-source codebase promises to advance the integration of AI in scholarly research, fostering a future where autonomous entities significantly contribute to knowledge generation.