Ai-optimized travel itinerary generator with Skyscanner, Booking.com and Gmail
This intelligent travel assistant streamlines vacation planning by automatically gathering live flight, hotel, and activity data from multiple global APIs. It leverages AI to synthesize these insights into a professionally formatted itinerary, complete with weather forecasts and quality scoring. The final plan is delivered seamlessly via Gmail and Slack, saving hours of manual research for every trip.
Run this with your team's AIWhat This Recipe Does
Planning business travel or group retreats often consumes hours of manual research, price comparison, and logistical coordination. The Qwen3-VL-8B-Thinking Travel Planner automates this entire lifecycle by transforming a simple request into a professional itinerary. Using advanced vision-language models, the automation searches real-time travel data, compares multiple options based on cost and convenience, and selects the most efficient routes and accommodations. Instead of toggling between browser tabs and spreadsheets, users receive a curated list of the best itineraries directly via email and Slack. This workflow ensures that travel decisions are data-driven and consistent with company preferences, significantly reducing the administrative burden on teams. By leveraging AI to 'think' through complex logistics, businesses can ensure their travelers have the best possible experience while maintaining strict control over budgets and scheduling.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Http, BigMailer, Bot for Slack connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Http and BigMailer once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Executive assistants who need to generate and share multiple travel options for leadership approval instantly.
- Operations managers coordinating team offsites who require a centralized way to compare group travel costs and logistics.
- Frequent business travelers who want a hands-off way to receive optimized flight and hotel recommendations in their inbox.
Frequently Asked Questions
Can I customize the criteria used to rank travel options?
Yes, you can adjust the logic to prioritize specific factors such as lowest price, shortest travel time, or preferred airline carriers.
Does this require a specific AI model subscription?
This workflow is designed to work with the Qwen3-VL-8B model, but it can be configured to connect with other vision-language models via HTTP request.
How are the final itineraries delivered to the team?
The automation sends a detailed summary via Gmail to the requester and posts a notification in a designated Slack channel for team visibility.
Can I integrate this with my existing corporate travel policy?
The workflow can be modified to include specific constraints, such as maximum budget per night or approved booking platforms, to ensure compliance.
Coming from n8n?
This recipe uses nodes like Webhook, Set, HttpRequest, Gmail and 6 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
Related Recipes
Telegram chat summarizer with AI - using @telepilotco/n8n-nodes-telepilot
Managing data sets for AI assistants often involves tedious manual sorting and reorganization. This automation streamlines the process by automatically splitting, filtering, and re-aggregating data to ensure your AI models receive perfectly formatted information every time. By removing the manual labor from data preparation, your team can focus on high-level strategy rather than technical cleanup. The workflow acts as a sophisticated data processor that takes raw inputs and refines them into structured outputs, making it easier to maintain accuracy and consistency across your AI-driven applications. Whether you are handling customer feedback, product lists, or internal documentation, this tool ensures your data is ready for immediate use. Implementing this automation reduces the risk of human error and significantly speeds up the time it takes to move information from its source into your AI assistant's knowledge base, ultimately improving the quality of AI responses and the efficiency of your operations.
Manage Asana projects with natural language AI assistant via chat & webhook
This AI-powered Asana Assistant transforms how your team interacts with project management data. Instead of navigating complex dashboards or manually entering repetitive task details, users can simply describe their needs in plain language. The automation leverages advanced AI to interpret intent, identify relevant project parameters, and execute actions within Asana automatically. This results in significant time savings for project managers and team members who need to capture action items quickly during meetings or throughout the workday. By streamlining the bridge between conversation and execution, this tool ensures that no task falls through the cracks. It improves data accuracy by standardizing how information is captured and categorized, allowing your leadership team to maintain a clear view of project health without constant manual oversight. Whether you are assigning new responsibilities, updating deadlines, or checking the status of a specific milestone, this interface provides a frictionless experience that keeps your team focused on high-value work rather than administrative overhead.
Telegram trading bot assistant | LLM powered trading bot for crypto/forex
This automation transforms Telegram into a powerful mobile command center for your business operations. By connecting Telegram directly to your internal tools and data sources via HTTP requests, it allows team members to trigger complex workflows, retrieve real-time reports, and manage tasks through a familiar chat interface. Instead of switching between multiple enterprise applications or waiting until you are at a desk, you can execute critical actions instantly using simple chat commands. This recipe is designed to bridge the gap between communication and execution, ensuring that information flows seamlessly from mobile devices to your core business systems. The result is a significant reduction in response times, improved data accessibility for field teams, and a streamlined approach to task management that keeps your business moving forward regardless of where your team is located.
Create a voice assistant interface with OpenAI and text-to-speech
This automation serves as the foundation for building custom, interactive AI assistants that bridge the gap between complex backend logic and user-friendly web interfaces. By utilizing webhooks and dynamic HTML rendering, it allows businesses to deploy branded AI interfaces that handle user inquiries in real-time. Instead of relying on generic chat platforms, this workflow enables you to capture user input, process it through your specific business logic, and return a tailored response instantly. This is particularly valuable for companies looking to provide self-service tools, automated customer support, or internal knowledge bases without requiring users to navigate complex databases or technical documentation. The result is a seamless digital experience that increases engagement and reduces the manual workload on support teams by providing immediate, accurate information through a professional web-based portal.
Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork