I need a fully-functional workflow that listens to incoming messages on my WhatsApp chatbot, detects the user’s question and instantly gathers answers from both Google results and the ChatGPT API. Once the raw information is collected, an internal AI assistant must condense it into a concise paragraph followed by a few bullet-point highlights, then push that response back through the same WhatsApp thread. The questions coming in will be general knowledge queries, so the retrieval logic has to balance speed and breadth: scrape the top organic search snippets or use a Custom Search API, combine that with a ChatGPT call, merge the findings, and let the summariser create the blended paragraph-plus-bullets output. I’m comfortable if you orchestrate this in Python or Node.js and hook it to the WhatsApp Business Cloud API (or Twilio WhatsApp) as long as the end result is deployable on my existing VPS. Please make the components modular—one piece for message intake, one for retrieval, one for summarisation, one for delivery—so future tweaks are straightforward. Deliverables • Source code with clear structure and comments • Environment / API key setup guide • One-click start script or Dockerfile • Short video or written walkthrough proving the bot answers at least five sample questions in real time Acceptance: when I can spin it up on my server, send “Who won the Nobel Peace Prize in 2022?” and receive the paragraph plus bullets within seconds, the job is complete.