Automate bug reports with Gemini AI: Jotform to GitHub with Telegram alerts
Streamline your issue tracking by using Google Gemini AI to automatically triage bug reports from Jotform into GitHub while intelligently screening for duplicates. This automated system logs every submission in Google Sheets and delivers real-time status updates to your team through Telegram. It transforms a manual debugging process into a sophisticated, hands-off operation that keeps your developers focused on coding.
Run this with your team's AIWhat This Recipe Does
This automation streamlines the transition from user feedback or project requests to actionable development tasks. By connecting JotForm to GitHub, it eliminates manual data entry and ensures that every submission is captured accurately in your project management pipeline. When a user submits a form, the system automatically creates relevant issues or updates in GitHub, logs the data in Google Sheets for long-term tracking, and sends immediate notifications via Telegram to keep your team informed. This workflow is essential for teams looking to reduce lead times between reporting and resolution. It provides a centralized source of truth in Google Sheets while allowing developers to stay within their existing GitHub environment. By automating the communication layer through Telegram, stakeholders receive real-time updates without having to check multiple platforms. The result is a more responsive development cycle, improved data integrity, and a significant reduction in administrative overhead. This allows your technical team to focus on building features rather than managing tickets or manually updating spreadsheets.
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
Telegram, GitHub, Google Sheets connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Telegram and GitHub 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
- Product managers who need to collect feature requests from customers via JotForm and automatically turn them into GitHub issues.
- Quality assurance teams using forms to report bugs that need to be logged in a master spreadsheet and assigned to developers instantly.
- Operations leads who want to track internal tool requests and notify the engineering team via mobile alerts for urgent fixes.
Frequently Asked Questions
Do I need to manually create the GitHub issues?
No, the automation handles the creation of GitHub issues or repository updates automatically based on the information provided in the form submission.
Can I choose which Telegram channel receives the alerts?
Yes, you can configure the specific Telegram chat or group where notifications are sent to ensure the right team members are notified immediately.
Does this record every submission for reporting?
Every form entry is logged in a dedicated Google Sheet, providing a historical record that is perfect for performance audits and monthly reporting.
Can I customize the data sent from JotForm to GitHub?
The workflow allows you to map specific form fields to GitHub titles, descriptions, or labels, ensuring your development team has all the context they need.
Coming from n8n?
This recipe uses nodes like Telegram, JotFormTrigger, Langchain.agent, GithubTool and 5 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
Build a document QA system with Google Drive, Pinecone, and OpenAI RAG
This automation streamlines document management by instantly reacting to file changes within your Google Drive. Instead of manually monitoring folders or waiting for notifications, this workflow detects new or updated files and triggers immediate downstream actions. For businesses handling high volumes of documentation, this ensures that team members are alerted the moment a contract is uploaded, a report is edited, or a client submits a project brief. By converting Google Drive into an active participant in your workflow, you eliminate the latency between document creation and business action. This results in faster response times, improved project momentum, and the removal of administrative bottlenecks that typically slow down collaborative environments. Whether you are managing legal documents, marketing assets, or internal reports, this automation provides a reliable bridge between your storage system and your operational processes.
Automate vendor due diligence research with Gemini & Jina AI
This AI Safety and Compliance automation provides a robust framework for organizations to vet content and data against internal policies and regulatory standards. By utilizing a structured form trigger, the workflow captures submissions and subjects them to an intelligent analysis process powered by Jina AI. It evaluates inputs for potential risks, compliance violations, or safety concerns, ensuring that every piece of data moving through your pipeline adheres to predefined safety protocols. The system includes built-in wait states and conditional logic to allow for human-in-the-loop verification when necessary, finally consolidating all findings into a centralized Google Sheets repository for auditing. This automation eliminates the manual bottleneck of compliance reviews, reduces the risk of human error in safety assessments, and provides a transparent audit trail for stakeholders and regulators.
AI-powered document chat with Nextcloud files using LangChain and OpenAI
This AI-driven document management automation transforms how your organization interacts with stored data. By integrating a conversational AI interface with NextCloud, this workflow allows team members to query, extract, and analyze information from files using natural language. Instead of manually searching through folders and reading dozens of documents to find specific details, users can simply ask questions and receive structured summaries or specific data points instantly. The system intelligently routes requests, processes various file types through automated extraction, and aggregates results into a cohesive response. This significantly reduces the time spent on administrative research and ensures that critical information trapped in static documents becomes an accessible, actionable asset for your entire team. By bridging the gap between raw file storage and intelligent retrieval, this automation empowers better decision-making and accelerates project timelines.
Generate product images & videos with Gemini AI, DeepSeek, and GoAPI for e-commerce
This automated content generation system streamlines the transition from raw data to production-ready assets. By integrating powerful web requests and HTML processing, the workflow automatically fetches, structures, and formats content based on your specific requirements. The inclusion of a Form Trigger allows team members to initiate content requests instantly, while the built-in logic handling ensures that data is validated and converted into the correct file formats before delivery. To ensure reliability in business operations, the system features a dedicated error-handling mechanism that sends immediate notifications via Discord if a process requires attention. This eliminates the manual overhead of constant monitoring and allows your creative team to focus on strategy rather than data entry. By standardizing the content creation pipeline, businesses can maintain a consistent brand voice and accelerate their publishing schedule without increasing headcount or technical complexity.
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