I want a streamlined Python-based workflow that, every day, does the heavy lifting of publishing fresh betting content to Whop without any manual touch-points. Here’s the flow I have in mind: • Pull comprehensive betting odds, game scores, and any other meaningful metrics for NBA, NFL, MLB, Soccer, and the rest of the major leagues from a reliable odds API. • Pass that raw data to an LLM (OpenAI or comparable) so it can generate daily picks and an accompanying narrative report. • Drop the model’s output into a pair of simple HTML templates. • Use Playwright or Puppeteer to turn those templates into crisp PNG images. • Post both the text and the screenshots to Whop through their API, triggered automatically on a cron schedule. Tech stack expectations Python is the preferred language, paired with REST-friendly libraries, Playwright/Puppeteer for rendering, and solid cron or cloud-scheduler experience. Prior exposure to sports data APIs or social-media automation is a bonus, but not mandatory. What I need from you Show me a GitHub profile or portfolio link, a short note on similar API/automation projects you’ve shipped, and your rough timeline plus rate for the initial build. I’m treating this as a one-off delivery, yet a clean, well-documented solution could lead to ongoing feature work. Fast turnaround earns extra points.