Show HN: AI-assisted feature intake with human review (n8n workflow) (github.com)

A new AI-assisted feature intake system has been introduced, designed to streamline the conversion of raw product requests into Jira-ready tasks in under one minute. By addressing common intake issues—such as lost context, unclear requests, and lengthy review times—the AI Feature Intake Engine utilizes Gemini AI to summarize and break down product ideas, presenting them in a readable format for human reviewers. This system ensures that while AI performs the heavy lifting, human oversight remains critical, requiring explicit approval or rejection of requests before tickets are created in Jira. The significance of this development lies in its potential to enhance efficiency while maintaining control over product requirements, a crucial balance for the AI/ML community. By incorporating a structured workflow with clear outputs—from request ingestion to review and feedback—it reduces the chances of backlog pollution and the chaos that unclear tickets can cause within development teams. This human-in-the-loop approach not only accelerates the intake process but preserves the necessary context, translating into fewer surprises and improved reliability in delivery. Overall, the AI Feature Intake Engine exemplifies the power of combining AI speed with human judgment, geared towards organizations overwhelmed by request volume and backlog challenges.