TL;DR — I built a single AI agent that turns natural-language requests into well-structured tickets and generates weekly executive reports from the same source of truth. Result: cleaner data in, sharper reports out, less manual overhead. The Problem Engineering teams lose hours every week to two predictable workflows: Ticket intake — translating informal asks into properly linked, labeled, and scoped tickets. Weekly reporting — manually stitching status updates across goals, epics, and owners. The cost isn't just time. It's inconsistency — missing labels, orphan tickets, duplicate work, and reports that don't roll up cleanly. The Solution A single agent. Two skills. One source of truth. What Shipped CAPABILITY OUTCOME Unified agent One entry point — no more guessing which tool to use NL ticket creation Plain prompts → summary, description, epic link, labels, AC Duplicate detection Searches open tickets in the same epic before creating Label inheritance New stories auto-...