I need an AI-driven pipeline that takes a topic idea and automatically does everything that follows: it finds the most-searched Google keywords, retrieves the top 10 URLs for each term, scrapes the images and other media assets from those pages, adapts or re-edits the visuals to match my branding guidelines, then publishes the finished piece to my website while triggering the appropriate lead-capture sequence. All three stages—keyword research and analysis, scraping plus in-house editing, and final posting with lead automation—must run without manual intervention. A multi-agent architecture is ideal, so feel free to leverage LangChain, CrewAI, AutoGPT, or any comparable framework that lets independent agents pass tasks between one another. Think of one agent focused on Google Keyword Planner or similar APIs, another handling SERP scraping with Python, Selenium, Scrapy or BeautifulSoup, a third using OpenAI or Stable Diffusion for media re-editing, and a final agent pushing the content live through my CMS and hooking into the CRM or email platform for lead collection. Deliverables • A reproducible, documented workflow (scripts, agent prompts, and environment files) • An installer or Docker setup that lets me spin the system up on my own server • A short screen-share walk-through proving the pipeline publishes at least one fully automated post, complete with reworked images and an active lead form Acceptance criteria: the process must start from a single keyword prompt and, within one run, output a live post containing unique, correctly attributed media, on-page SEO tags, and a functioning lead magnet. If you have already built or tested similar multi-agent flows, mention it in your proposal along with a brief on the tool stack you prefer.