Submission + - How to Build a Local LLM Agent to Automate Work List Generation from Monthly Rep (xbsoftware.com)
slaptick writes: Check how to built a local, onpremise AI agent that automatically extracts actionable work items from unstructured monthly developer reports. The pipeline uses a locally hosted Gemma 4 E2B model to normalize text, filter out vague entries, enrich available data with Jira ticket descriptions, and apply vector embeddings for duplicate detection. The CPUonly architecture ensures data sovereignty, eliminates cloud vendor lockin, and provides a predictable, lowcost automation path for enterprise teams.
