I need an AI-powered copilot that focuses exclusively on competitive analysis. The agent should pull data from public sources—websites, press releases, social channels, financial filings—then digest, compare, and present the findings in a way my team can act on quickly. Core expectations • Autonomous data gathering: crawl or call APIs to capture fresh competitor information on demand or on a schedule. • Insight generation: highlight pricing changes, product launches, marketing messaging shifts, funding rounds, and any unusual patterns. • Natural-language interface: let me ask questions such as “How did Competitor X’s feature set evolve over the past six months?” and receive concise answers with citations. • Report output: create share-ready summaries (PDF or slide deck) with charts and key metrics whenever I request “latest weekly competitive brief.” • Simple deployment: runnable in the cloud or on-prem, preferably in Python or a Node stack, with clear setup docs and a short demo video. Acceptance criteria 1. Agent collects data for at least three named competitors and produces an initial comparison report. 2. Answers ad-hoc questions accurately within 30 seconds. 3. Codebase and README allow another developer to reproduce the results in one sitting. If you have experience combining web scraping, LLMs, and dashboarding tools like Streamlit, LangChain, or similar, you’ll be able to hit the ground running. Please outline your proposed tech stack, timeline, and any relevant past projects when you reply.