Automation Templates

Ready-to-use workflow templates for AI agents, browser automation, and messaging integrations. Get started in minutes.

Found 3 templates linked to integration “postgresql”

Development & API

Automatically fetch and store webhook data in a structured format

This automation allows users to fetch data from a specified webhook URL on a daily schedule and store the retrieved information in a structured format. The primary purpose is to enable developers, API users, and infrastructure engineers to easily integrate external data sources into their workflows. The automation retrieves data from the specified webhook, parses it into a structured format, and saves it for further processing or analysis. This can be useful for monitoring APIs, ingesting real-time data feeds, or automating data collection tasks as part of broader development, API, or infrastructure projects.

26s$0.0703

AI agents & chatbots

Automate lead matching, property viewings, and calendar syncing

The AI-powered real estate chatbot automates the process of qualifying leads, matching them with suitable properties, and scheduling viewings. It integrates with a Postgres database to retrieve property details, uses an LLM-based agent for natural language interactions, and syncs with Google Calendar to manage appointment scheduling. This workflow streamlines the real estate customer experience, allowing agents to focus on high-value activities while providing a seamless, AI-driven service to prospective buyers and renters.

26s$0.0703

Messaging & bots

Automate Telegram support with GPT-4 and Supabase document retrieval

This automation allows you to create a Telegram bot that uses GPT-4 for multi-modal processing and Supabase RAG to provide automated support. The bot can handle text, audio, image, and document inputs from users, extract the relevant information, and generate context-aware responses by querying a Supabase vector database for similar content and injecting it into the OpenAI language model prompt. This enables a full Retrieval-Augmented Generation (RAG) experience, where the bot's responses are grounded in the actual document content. The automation integrates with Telegram, OpenAI, Supabase, and supports a variety of document file types.

21s$0.0013