I’m looking to turn a routine automation task into a self-running workflow driven by AI. The agent you build should ingest the raw data I already collect, process it end-to-end, and deliver polished performance reports without any manual intervention. Core objective • Convert my current “click-and-run” automation into an autonomous workflow that monitors for new input, kicks off processing, and produces the final report. What the agent must do • Detect or pull the latest data set. • Analyse key metrics and trends. • Generate clear performance reports (PDF or dashboard—whichever you can automate most cleanly). • Log each run and notify me when a report is ready. I’m open on tooling—Python, LangChain, OpenAI functions, RPA frameworks or a blend—so long as the result is reliable and easy to maintain. If you feel additional modules such as email management or data-entry hooks would improve the flow, flag them as optional add-ons; right now, the must-have is hands-free performance reporting. Deliverables 1. Working agent code with installation instructions. 2. A sample run showing data intake through to final report. 3. Brief documentation outlining how to extend or tweak the workflow later. When you reply, let me know the stack you favour and how long you need to get a proof of concept in my hands.