Recent Workflows

For the platform "Summarize emails with A.I. then send to messenger," this workflow automatically reads your emails, summarizes the content using A.I., and sends the summary directly to your messenger. It highlights important deadlines and action items, ensuring you never miss critical information while keeping your inbox organized.

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For Glassdoor, this automated workflow extracts company information and summarizes it using Google Gemini and Bright Data Web Scraper. It efficiently triggers data retrieval, checks progress, and delivers concise summaries, enhancing decision-making and insights into company culture and employee experiences.

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Google Drive Automate streamlines document management by automatically downloading files, processing them with LangChain for embedding, and integrating with Supabase for efficient data storage and retrieval. This workflow enhances productivity by enabling quick access to information and facilitating seamless interaction with your data, making it easier to manage and utilize your documents effectively.

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For LangChain, this automated workflow processes survey responses to generate detailed insights. It imports data from Google Sheets, vectorizes responses using Qdrant, and applies K-means clustering to identify groups of similar answers. Each cluster is analyzed for sentiment and summarized by a language model, with results exported back to a new insights sheet. This approach enhances understanding of participant feedback, ensuring diverse perspectives are captured and analyzed effectively.

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Google Calendar Event Reminder sends you friendly reminders exactly 1 hour before your events start, transforming standard alerts into warm, conversational nudges via Telegram. This automated workflow ensures you never miss an appointment while providing a personal touch, making your schedule more manageable and less stressful.

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A/B Split Testing automates the process of comparing two different prompts for AI chat sessions, enhancing response quality by randomly assigning users to either a baseline or alternative prompt. This workflow integrates with LangChain and Supabase to track session data, ensuring consistent interactions within each session. By leveraging this split testing approach, users can optimize AI performance and gain insights into which prompts yield better engagement and results.

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Airtop Web Agent automates web interactions, enabling users to efficiently execute tasks like querying information, clicking elements, and typing inputs in a browser. With 19 integrated nodes, it simplifies complex workflows, enhances productivity, and delivers real-time results through seamless communication with tools like LangChain and Slack.

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For the SQL agent with memory, automate data interactions by integrating LangChain with SQLite. This workflow enables users to download, extract, and query a sample database, facilitating dynamic conversations with data. It efficiently combines user input with database queries, leveraging memory for enhanced responses. Ideal for users seeking to streamline data analysis and improve decision-making through conversational AI.

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NeurochainAI automates interactions with Telegram, enabling users to generate images and receive AI responses seamlessly. This workflow enhances communication efficiency by processing user prompts and delivering instant results, reducing manual effort and response time.

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Telegram AI-bot automates interactions by responding to user commands, generating images, and providing personalized greetings. It enhances user engagement with real-time responses and supports multiple languages, making conversations more dynamic and enjoyable.

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For Telegram, this AI multi-format chatbot automates message handling, enabling users to interact via text and voice. It leverages advanced AI to provide accurate responses, transcribes audio messages, and ensures seamless communication, enhancing user engagement and satisfaction.

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For Telegram, this automated workflow efficiently manages user interactions by integrating OpenAI and Supabase. It captures new messages, maintains user context, and provides personalized responses, ensuring a seamless and engaging chat experience. With 17 nodes, it enhances communication continuity, making it ideal for customer support and virtual assistant applications.

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