Francis Njenga
E | gaturanjenga@gmail.com
Templates by Francis Njenga
Ai-powered Telegram task manager with MCP server
Detailed Description The ToDo App workflow is designed to streamline task management through Telegram and Google Tasks integration. This workflow allows users to create, update, and manage tasks via Telegram messages, leveraging AI capabilities to enhance user interaction. The expected outcome is a seamless experience where users can manage their tasks efficiently without needing to switch between applications. Who is this for? This workflow is intended for: Individuals looking for an efficient way to manage their tasks directly from Telegram. Teams that require a collaborative task management solution integrated with Google Tasks. Developers interested in automating task management processes using n8n and Telegram. What problem does this workflow solve? Managing tasks can often be cumbersome, especially when switching between different applications. This workflow addresses the following problems: Fragmented Task Management: Users can manage tasks directly from Telegram, reducing the need to switch to Google Tasks. Inefficient Communication: By integrating AI, users can interact with the task management system in a conversational manner, making it more intuitive. Task Updates: Users can easily update task statuses and details through simple messages, enhancing productivity. What this workflow does The ToDo App workflow performs the following functions: Incoming Message Handling: Listens for messages sent to a Telegram bot. Task Creation: Allows users to create new tasks based on their messages. Task Updates: Users can update existing tasks by sending specific commands. Task Retrieval: Retrieves today's and upcoming tasks from Google Tasks. Voice Note Transcription: Supports voice messages, converting them into text for task management. AI Assistance: Utilizes an AI agent to assist users in managing their tasks effectively. Setup Prerequisites Before setting up the workflow, ensure you have the following: n8n Account: Sign up for an n8n account if you don't have one. Telegram Bot: Create a Telegram bot and obtain the API token. Google Tasks API: Set up Google Tasks API and obtain OAuth2 credentials. OpenAI API Key: Sign up for OpenAI and obtain an API key for AI functionalities. Setup Process Upload the JSON for this workflow and setup the authentication for the different tools. How to customize this workflow To adapt the ToDo App workflow to different needs, consider the following customizations: Change Task Management Platform: If you prefer a different task management tool, replace the Google Tasks nodes with your preferred service's API. Modify AI Responses: Adjust the AI agent's system message to change how it interacts with users. Add Additional Commands: Expand the workflow by adding more commands for different task management functionalities (e.g., deleting tasks). Integrate Other Messaging Platforms: If you want to use a different messaging service, replace the Telegram nodes with the appropriate nodes for that service. Conclusion The ToDo App workflow provides a powerful solution for managing tasks through Telegram, enhancing productivity and user experience. By following the setup instructions and customization options, users can tailor the workflow to meet their specific needs, making task management more efficient and accessible.
By Francis NjengaCreate content from form inputs and save it to Google Drive using AI
AI Content Generator Workflow Introduction This workflow automates the process of creating high-quality articles using AI, organizing them in Google Drive, and tracking their progress in Google Sheets. It's perfect for marketers, bloggers, and businesses looking to streamline content creation. With minimal setup, you can have a fully operational system to generate, save, and manage your articles in one cohesive workflow. --- How It Works Collect Inputs: Users fill out a form with details like article title, keywords, and instructions. Generate Content: AI creates an outline and writes the article based on user inputs. Organize Files: Saves the outline and final article in Google Drive for easy access. Track Progress: Updates Google Sheets with links to the generated content for tracking. --- Set Up Steps Time Required: Approximately 15–20 minutes to connect all integrations and test the workflow. Steps: Connect Google Drive and Google Sheets: Authorize access to store files and update the spreadsheet. Set Up OpenAI Integration: Add your OpenAI API key for generating the outline and article content. Customize the Form: Modify the form fields to match the details you want to collect for each article. Test the Workflow: Run the workflow with sample inputs to ensure everything works smoothly. --- This workflow not only simplifies the process of article creation but also sets a foundation for expanding into additional automations, like posting to social media platforms.
By Francis NjengaHr job posting and evaluation with AI
Workflow Documentation: HR Job Posting and Evaluation with AI Detailed Description The HR Job Posting and Evaluation with AI workflow is designed to streamline and enhance recruitment for technical roles, such as Automation Specialists. By automating key stages in the hiring process, this workflow ensures a seamless experience for both candidates and HR teams. From collecting applications to evaluating candidates using AI and scheduling interviews, this workflow provides an end-to-end solution for recruitment challenges. --- Who is this for? This workflow is ideal for: HR Professionals: Managing multiple job postings and candidates efficiently. Recruitment Teams: Handling large volumes of applications for technical positions. Hiring Managers: Ensuring structured and objective candidate evaluations. --- What problem does this workflow solve? Time-Consuming Processes: Automates repetitive tasks like data entry, CV management, and scheduling. Fair Candidate Evaluation: Leverages AI to provide objective insights based on resumes and job descriptions. Streamlined Communication: Ensures timely and personalized candidate interactions, improving their experience. --- What this workflow does This workflow automates the following steps: Form Submission: Collects candidate information via a structured application form. Data Storage: Stores applicant details in Airtable for centralized tracking. CV Management: Automatically uploads resumes to Google Drive for easy access and organization. AI-Powered Candidate Evaluation: Scores candidates based on their resumes and job descriptions using OpenAI, providing actionable insights. Interview Scheduling: Automates scheduling based on candidate and interviewer availability. Communication: Sends customized emails to candidates for interview invitations and feedback. --- Setup Prerequisites To use this workflow, you’ll need: n8n Account: To create and run the workflow. Airtable Account: For managing applicant data. Google Drive Account: For storing candidate CVs. OpenAI API Key: For AI-powered candidate scoring. SMTP Email Account: For sending candidate communications. Setup Process Airtable Configuration: Create a base in Airtable with tables for Applicants and Job Positions. Google Drive Setup: Create a folder for CV storage and ensure you have write permissions. Integrate Airtable in n8n: Use the Airtable API key to connect Airtable to n8n. Integrate Google Drive in n8n: Authorize Google Drive to enable CV storage automation. OpenAI Integration: Add your OpenAI API key to n8n for candidate scoring. Email Configuration: Set up your SMTP email account in n8n for sending notifications and invitations. --- How to customize this workflow Tailor the workflow to fit your unique recruitment needs: Edit Job Descriptions: Adjust the form parameters to match the specific role and qualifications. Refine AI Evaluation Criteria: Modify OpenAI prompts to reflect the skills and competencies for the desired position. Personalize Email Templates: Update email content to match your organization’s tone and branding. Add New Features: Incorporate additional steps like feedback collection or integration with other HR tools. --- Conclusion The HR Job Posting and Evaluation with AI workflow simplifies and automates the recruitment process, enabling HR teams to focus on engaging with candidates rather than handling administrative tasks. With its powerful integrations and customization options, this workflow helps organizations hire efficiently while improving the candidate experience.
By Francis NjengaAuto-retry engine: error recovery workflow
Workflow Documentation: Auto-Retry Engine – Error Recovery Workflow Detailed Description The Auto-Retry Engine: Error Recovery Workflow is designed to automate the process of identifying and retrying failed executions in n8n workflows. By leveraging scheduled triggers, API integrations, and conditional logic, this workflow ensures that any failed executions are automatically retried on an hourly basis. This reduces manual intervention, improves system reliability, and ensures smoother workflow operations. Who is this for? This workflow is ideal for: Automation Engineers: Managing and maintaining workflows with minimal manual intervention. DevOps Teams: Ensuring high availability and reliability of automated processes. IT Administrators: Reducing downtime and improving system performance by automating error recovery. What problem does this workflow solve? Manual Error Handling: Eliminates the need for manual monitoring and retrying of failed executions. Improved Reliability: Automatically retries failed executions, reducing downtime and improving workflow success rates. Time Efficiency: Saves time by automating repetitive error recovery tasks, allowing teams to focus on higher-priority work. What this workflow does This workflow automates the following steps: Scheduled Monitoring: Checks for failed executions hourly using a schedule trigger. Error Filtering: Identifies executions that have failed and filters out those that have already been successfully retried. Authentication: Logs into the n8n instance using API credentials to retrieve session details. Automatic Retry: Retries the failed executions using the n8n API. Batch Processing: Processes multiple failed executions in batches to avoid overloading the system. Setup Prerequisites To use this workflow, you’ll need: n8n Account: To create and run the workflow. n8n API Credentials: For logging into the n8n instance and retrying executions. HTTP Request Node: Configured to interact with the n8n API. Schedule Trigger: Set to run the workflow hourly. Setup Process Configure Schedule Trigger Set the trigger to run hourly to check for failed executions. Set Login Credentials Add your n8n instance URL, username, and password in the Set Node. Integrate n8n API Use the HTTP Request node to log into the n8n instance and retrieve session details. Retry Failed Executions Configure the HTTP Request node to retry failed executions using the session details. Batch Processing Use the Split in Batches node to process multiple failed executions in batches. How to customize this workflow Tailor the workflow to fit your specific needs: Adjust Schedule Frequency Modify the schedule trigger to run at different intervals (e.g., every 30 minutes). Add Notifications Integrate email or Slack notifications to alert teams about failed retries. Refine Error Filtering Customize the filtering logic to exclude specific types of failed executions. Scale Batch Size Adjust the batch size in the Split in Batches node to optimize performance. Conclusion The Auto-Retry Engine: Error Recovery Workflow is a powerful tool for automating error recovery in n8n workflows. By reducing manual intervention and ensuring failed executions are retried automatically, this workflow enhances system reliability and operational efficiency. Whether you're managing a few workflows or a complex automation ecosystem, this workflow ensures your processes run smoothly and consistently.
By Francis Njenga