Bhavy Shekhaliya
Expert AI Automation Engineer specializing in Agentic AI and Model Fine-Tuning. I design robust automations that connect your tech stack, optimizing processes for maximum scalability. I help you: ♾️ Deploy autonomous agents for real-world business tasks. ♾️ Fine-tune AI models for domain-specific accuracy. ♾️ Eliminate manual grunt work with smart systems. Stop trading time for money. Let’s build a custom automation system that drives growth effortlessly.
Templates by Bhavy Shekhaliya
Auto-generate WordPress blog tags with GPT-4.1-mini and smart tag mapping
Overview This n8n template demonstrates how to use AI to automatically analyze WordPress blog content and generate relevant, SEO-optimized tags for WordPress posts. Use cases Automate content tagging for WordPress blogs, maintain consistent taxonomy across large content libraries, save hours of manual tagging work, or improve SEO by ensuring every post has relevant, searchable tags! Good to know The workflow creates new tags automatically if they don't exist in WordPress. Tag generation is intelligent - it avoids duplicates by mapping to existing tag IDs. How it works We fetch a WordPress blog post using the WordPress node with sticky data enabled for testing. The post content is sent to GPT-4.1-mini which analyzes it and generates 5-10 relevant tags using a structured output parser. All existing WordPress tags are fetched via HTTP Request to check for matches. A smart loop processes each AI-generated tag: If the tag already exists, it maps to the existing tag ID If it's new, it creates the tag via WordPress API All tag IDs are aggregated and the WordPress post is updated with the complete tag list. How to use The manual trigger node is used as an example but feel free to replace this with other triggers such as webhook, schedule, or WordPress webhook for new posts. Modify the "Fetch One WordPress Blog" node to fetch multiple posts or integrate with your publishing workflow. Requirements WordPress site with REST API enabled OpenAI API Customising this workflow Adjust the AI prompt to generate tags specific to your industry or SEO strategy Change the tag count (currently 5-10) based on your needs Add filtering logic to only tag posts in specific categories
By Bhavy ShekhaliyaAutomate Gmail Organization with AI-Powered Email Classification and Smart Labeling
📧 AI-Powered Gmail Auto-Labeling with Smart Classification This n8n workflow automatically organizes your Gmail inbox by intelligently categorizing incoming emails and applying custom labels using AI-powered sentiment analysis. Say goodbye to manual email sorting and hello to an organized inbox! Use Cases Business Email Management: Automatically sort partnership inquiries, meeting requests, and promotional emails Sales Team Automation: Identify and label cold outreach and high-priority leads Executive Assistants: Filter important meetings and urgent matters for busy professionals Marketing Teams: Separate promotional content from genuine business communications Good to Know The workflow runs every minute to check for new emails Each email is processed only once - already labeled emails are automatically skipped Uses OpenAI's GPT model for accurate email classification (API costs apply) Processes emails in batches to handle multiple incoming messages efficiently How It Works Gmail Trigger continuously monitors your inbox for new emails every minute Switch Node checks if emails already have labels (Other, Promotion, or Meeting) to avoid duplicate processing Loop Node processes emails in batches for efficient handling AI Classification analyzes the email's sender, subject, and content using OpenAI's GPT model to categorize into: Partnerships - Collaboration opportunities and B2B proposals Promotional - Marketing emails and newsletters Cold Outreach - Unsolicited sales emails and prospecting Meeting - Calendar invites and scheduling requests High Priority - Urgent matters requiring immediate attention Other - Everything else that doesn't fit the above categories Label Application automatically applies the appropriate Gmail label based on AI classification Loop Completion returns to process the next email in the batch How to Use Set up your Gmail credentials to connect the workflow to your account Create custom labels in Gmail (or use the pre-configured label IDs in the workflow) Add your OpenAI API credentials for AI classification Activate the workflow and let it run automatically in the background Optionally adjust the polling frequency from "every minute" to your preference Requirements Gmail OAuth2 credentials for email access and label management OpenAI API key for GPT-powered email classification Pre-created Gmail labels for each category (or modify label IDs in the workflow) Customizing This Workflow Add More Categories: Extend the sentiment analysis node with additional email categories relevant to your business Adjust Classification Logic: Modify the AI prompt to better match your specific email patterns Change Polling Frequency: Update the Gmail trigger to check more or less frequently based on your email volume Add Actions: Extend each label branch to trigger additional actions like Slack notifications, database updates, or auto-replies Filter by Sender: Add conditions to the Switch node to handle VIP senders differently
By Bhavy ShekhaliyaGenerate weekly cold email performance reports with ManyReach, GPT-4.1 & Slack
Overview This n8n workflow automatically generates weekly performance reports for completed email campaigns from ManyReach, converts them to Google Docs, and shares them via Slack. Workflow Trigger Schedule: Runs every Monday (weekly) Automates the entire reporting process without manual intervention Process Flow Data Collection Fetch All Campaigns: Retrieves up to 100 campaigns from ManyReach API Split Out: Breaks down the campaign list into individual items Filter: Selects only campaigns that are both: Active (active = true) Completed (campStatus = "completed") Campaign Processing Loop The workflow processes each filtered campaign individually: Fetch One Campaign: Retrieves detailed data for the specific campaign Campaign Report Agent: AI-powered analysis using GPT-4.1 that generates: Executive summary with key highlights Performance metrics (open rate, click rate, reply rate, conversion rate) Email content analysis Configuration insights Actionable recommendations Next steps Report Generation Markdown → HTML: Converts the AI-generated markdown report to HTML format Set Details: Prepares document metadata (name, content) HTML → Magic 🪄: Formats the HTML content for Google Drive upload with proper styling Distribution Upload Doc: Creates a new Google Doc in the connected Drive account Send a Doc Link: Posts the document link to the manyreach Slack channel with campaign name Key Features Automated Analysis: AI evaluates campaign performance against industry benchmarks Comprehensive Metrics: Tracks prospects, opens, clicks, replies, conversions, and interested leads Professional Reports: Generated as formatted Google Docs for easy sharing Team Notifications: Automatic Slack alerts keep the team informed Required Credentials ManyReach API (HTTP Query Auth) OpenAI API (for GPT-4.1) Google Drive OAuth2 Slack OAuth2 Output Each completed campaign receives a detailed performance report posted to Slack with a direct link to the Google Doc for review and collaboration.
By Bhavy Shekhaliya