This Make.com scenario automates the end-to-end process of uploading Fliki-generated videos to YouTube. When a video render is completed in Fliki, the scenario triggers automatically. It then uses Google Gemini AI to generate a compelling, SEO-friendly video title based on the content. After that, it downloads the MP4 video file via an HTTP module, converting the URL into a binary buffer format suitable for YouTube. Finally, the video is uploaded directly to your YouTube channel, complete with the AI-generated title. This setup is ideal for content creators, marketers, educators, and businesses looking to scale content publishing without manual uploading. Save time, maintain consistency, and streamline your content workflow by integrating text-to-video AI tools with your YouTube channel. Set it once, and let your videos go live as soon as they’re ready.

This workflow creates an automated, end-to-end SEO strategy generator. It is triggered by a Telegram message, where an initial AI Toolkit refines the user's keyword. The system then uses four separate BrowserAct nodes to scrape real-time data from Google, Bing, Brave, and Google Trends. All collected data is synthesized by Google Gemini AI (acting as an expert SEO specialist) and delivered as a structured, mobile-ready keyword report back to the user via Telegram. Key Technologies: Trigger/Delivery: Telegram Web Scraping: BrowserAct (4 parallel/sequential tasks) Analysis: Google Gemini AI Refinement: Make AI Toolkit (initial processing) Orchestration: Make (formerly Integromat)

This template provides a complete automated interview and quiz workflow powered by Make, BrowserAct, Google Gemini AI, and Telegram. It guides each user through a personalized interview experience by collecting their profile information, generating quiz questions, validating their responses, and storing all results inside Google Sheets. The workflow includes: Telegram Bot integration to receive user messages and deliver interactive quiz questions through inline keyboard buttons. BrowserAct logic to capture initial user details and trigger the interview process. Dynamic Google Sheets tab creation, using each user’s chat ID to keep data separated and organized. Google Gemini AI for generating questions, parsing callback data, and checking whether the selected answer is correct. Automated branching (Routers) to handle first-time users, ongoing quiz sessions, and answer callbacks. Real-time score tracking, writing the question, answer, and correctness status back to Google Sheets. This template is ideal for recruitment screening, onboarding assessments, training quizzes, educational bots, or any interactive evaluation system. It requires no coding knowledge and can be easily customized to different topics or skill sets.