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Claude 3.7 Sonnet AI chatbot agent with Anthropic web search and think functions

This workflow builds a conversational AI chatbot agent using Claude 3.7 Sonnet model with the new . It enhances standard LLM capabilities with Anthropic’s features: Web Search and Think: Real-time web search, to answer up-to-date factual queries. A “Think” function, to support internal reasoning and memory-like behavior by Anthropic. A memory buffer, allowing the agent to maintain conversation history. A system prompt defining clear ethical, functional, and formatting rules for interaction.

AI resume screening with GPT-4o & error handling | Google Sheets & Drive flow

GPT-4o Resume Screener with Error Handling - Google Sheets & Drive Pipeline How it works Enterprise-grade resume screening automation built for production environments. This workflow combines intelligent AI analysis with comprehensive error handling to ensure reliable processing of candidate applications. Every potential failure point is monitored with automatic recovery and notification systems. Core workflow steps: 1. Intelligent Email Processing - Monitors Gmail with attachment validation and

AI-powered Telegram task assistant with Notion integration

This workflow creates a powerful AI assistant in Telegram that helps you manage your tasks in Notion. The assistant leverages OpenAI's language models to understand natural language commands, process voice messages, and maintain context through conversations. Key features: - Processes both text and voice messages in Telegram - Transcribes voice messages automatically - Maintains conversation context with memory - Manages Notion tasks through a custom tool: • List all tasks • Add new tasks with

Telegram AI bot-to-human handoff for sales calls

This n8n template demonstrates an approach to perform bot-to-human handoff using Human-in-the-loop functionality as a switch. In this experiment, we play with the idea of states we want our agent to be in which controls it's interacton with the user. First state - the agent is onboarding the user by collecting their details for a sales inquiry. After which, they are handed-off / transferred to a human to continue the call. Second state - the agent is essentially "deactivated" as

Auto generate & post LinkedIn content for Amazon sellers with GPT-4o & Apify

How it works This powerful automation turns LinkedIn influencer activity into high performing Amazon seller content, fully hands-off. It runs in two phases: 1. AI Content Generator Retrieves influencer usernames from Airtable Scrapes their most recent LinkedIn post via Apify Uses OpenAI (GPT-4o) to generate original Amazon focused post content Generates a branded LinkedIn image using AI (WeSpark visual identity) Saves content & image link to Google Drive Creates a record in Airtable with S

Get Binance spot market financial analysis via Telegram with GPT-4o

This workflow powers the Binance Spot Market Quant AI Agent, acting as the Financial Market Analyst. It fuses real-time market structure data (price, volume, kline) with multiple timeframe technical indicators (15m, 1h, 4h, 1d) and returns a structured trading outlook—perfect for intraday and swing traders who want actionable analysis in Telegram. 🔗 Requires the following sub-workflows to function: • Binance SM 15min Indicators Tool • Binance SM 1hour Indicators Tool • Binance SM 4hour Indicator

Personalized LinkedIn responses with OpenAI GPT & Notion-based routing

Who is this for? This workflow is for professionals and teams who want to automate LinkedIn message replies with intelligent, human-like responses — without losing control over tone or accuracy. Ideal for founders, sales teams, DevRel, or community managers handling high-volume inbound messages. What problem is this workflow solving? Responding to every LinkedIn message manually is slow and inconsistent. Basic AI bots generate replies without context or nuance. This subworkflow solves b

Generate AI video clips from YouTube using Reka Vision API and Gmail

Try It Out! This n8n template demonstrates how to use Reka API via HTTP to AI generate a clip automatically from a YouTube video and send email notifications. How it works - Looking at the RSS feed of a YouTube channel, the flow will be triggered when there is a new video published. - Using Reka's API, we will submit a request for creating a clip using AI. You can customize: - the prompt to generate the clip - decide if you want captions or