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.

This end-to-end automation extracts YouTube channel video data, analyzes historical performance, and identifies the optimal publishing time to maximize viral potential. Using BrowserAct, the workflow dynamically scrapes all videos from a selected channel and stores Title, URL, Views, Likes, and Published Date into Google Sheets. The data is then aggregated and sent to Gemini AI with a structured analytical prompt that examines performance by day of week, hour of day, and minute. The AI model detects high-performing time windows, negative “dead zones,” and statistically significant publishing patterns. The final insights are automatically written back to a dedicated results sheet, aligned to the correct row, enabling fast review and action. This template is ideal for creators, content teams, agencies, and analysts who want a repeatable, data-driven method to optimize their YouTube publishing strategy. No manual data pulling, no repetitive analysis—everything runs end-to-end with one click.

This automation template streamlines the full process of extracting, generating, and translating technical content from any public webpage. It starts by reading URLs from Google Sheets, then uses BrowserAct to open each page and collect structured data such as titles, headings, paragraphs, and code blocks. Once the content is extracted, Gemini formats it into a polished Markdown article by reconstructing missing code snippets, organizing sections, and improving readability. A second Gemini step translates the completed article into Spanish while preserving Markdown structure, code integrity, technical terminology, and file names. The final translated article is written back to Google Sheets, creating a fully automated content pipeline. This template is ideal for content creators, developers, and teams who need to convert technical webpages into multilingual, ready-to-publish articles with minimal manual effort.