Muhammad Shaheer Awan
Automation strategist and n8n expert with extensive experience designing AI-powered workflows for lead generation, data scraping, social media automation, and CRM integration. I help businesses streamline processes, reduce manual work, and boost efficiency. Explore my templates or book a consultation for custom n8n automation solutions.
Templates by Muhammad Shaheer Awan
Complete AI safety suite: test 9 guardrail layers with Groq LLM
Who's It For AI developers, automation engineers, and teams building chatbots, AI agents, or workflows that process user input. Perfect for those concerned about security, compliance, and content safety. What It Does This workflow demonstrates all 9 guardrail types available in n8n's Guardrails node through real-world test cases. It provides a comprehensive safety testing suite that validates: Keyword blocking for profanity and banned terms Jailbreak detection to prevent prompt injection attacks NSFW content filtering for inappropriate material PII detection and sanitization for emails, phone numbers, and credit cards Secret key detection to catch leaked API keys and tokens Topical alignment to keep conversations on-topic URL whitelisting to block malicious domains Credential URL blocking to prevent URLs with embedded passwords Custom regex patterns for organization-specific rules (employee IDs, order numbers) Each test case flows through its corresponding guardrail node, with results formatted into clear pass/fail reports showing violations and sanitized text. How to Set Up Add your Groq API credentials (free tier works fine) Import the workflow Click "Test workflow" to run all 9 cases Review the formatted results to understand each guardrail's behavior Requirements n8n version 1.119.1 or later (for Guardrails node) Groq API account (free tier sufficient) Self-hosted instance (some guardrails use LLM-based detection) How to Customize Modify test cases in the "Test Cases Data" node to match your specific scenarios Adjust threshold values (0.0-1.0) for AI-based guardrails to fine-tune sensitivity Add or remove guardrails based on your security requirements Integrate individual guardrail nodes into your production workflows Use the sticky notes as reference documentation for implementation This is a plug-and-play educational template that serves as both a testing suite and implementation reference for building production-ready AI safety layers.
By Muhammad Shaheer AwanCreate a voice-enabled AI assistant with Groq, SerpAPI and TTS
What It Does Build your own AI Chatbot that listens, thinks, searches, and speaks — all inside n8n. This template combines Groq AI, LangChain Agent, SerpAPI, and StreamElements TTS to create a chatbot that: Understands natural language input Searches the web for real-time answers Remembers previous messages (context memory) Replies with a realistic AI voice How It Works Chat Trigger: The workflow activates whenever a new message is received. Groq AI Agent: Processes user input, performs reasoning, and integrates with SerpAPI for live web results. Memory Node: Keeps the chat context for a natural conversation flow. TTS Node: Converts AI responses into realistic voice replies using StreamElements API. Setup Steps Connect your Groq, SerpAPI, and StreamElements credentials (no coding required). Customize the chatbot behavior directly inside n8n. Deploy instantly and chat via webhook or UI widget. Use Cases Voice-enabled customer-support bots AI chat widgets for websites Personal assistants that talk and search the web
By Muhammad Shaheer AwanGenerate fact-checked research reports with Llama AI and Web search
Who’s it for This template is designed for creators, researchers, freelance writers, founders, and automation professionals who want a reliable way to generate structured, citation-backed research content without doing manual data collection. Anyone creating blog posts, reports, briefs, or research summaries will benefit from this system. What it does This workflow turns a simple form submission into a complete research pipeline. It accepts a topic, determines what needs to be researched, gathers information from the web, writes content, fact-checks it against the collected sources, edits the draft for clarity, and compiles a final report. It behaves like a small agentic research team inside n8n. How it works A form collects the research topic, depth, and desired output format. A research agent generates focused search queries. SERP API retrieves real-time results for each query. The workflow aggregates and structures all findings. A writing agent creates the first draft based on the data. A fact-checking agent verifies statements against the sources. An editor agent improves tone, flow, and structure. A final review agent produces the completed research document with citations. This workflow includes annotated sticky notes to explain each step and guide configuration. Requirements Groq API key for running the Llama 3.3 model. SERP API key for performing web searches. An n8n instance (cloud or self-hosted). No additional dependencies are required. How to set up Add your Groq and SERP API credentials using n8n’s credential manager. Update the form fields if you want custom depth or output formats. Follow the sticky notes for detailed configuration. Run the workflow and submit a topic through the form to generate your first research report. How to customize Replace the writer agent with a different model if you prefer a specific writing style. Adjust the number of search queries or SERP results for deeper research. Add additional steps such as PDF generation, sending outputs to Notion, or publishing to WordPress. Modify the form to suit industry-specific content needs.
By Muhammad Shaheer AwanTransform video transcripts into multi-platform social media posts with Groq AI
Overview This workflow automates the process of turning your video transcripts into platform-specific social media posts using AI. It reads any uploaded transcript file, analyzes the text, and automatically generates full-length, engaging posts with image prompts for Facebook, LinkedIn, Instagram, Reddit, and WhatsApp. Perfect for creators, marketers, and automation builders who want to repurpose long-form content into viral posts, all in one click. How it Works The Manual Trigger starts the workflow. The Read Binary File node imports your video transcript (TXT format). The Move Binary Data and Set nodes convert it into a text string for processing. The AI Agent (LangChain) powered by Groq AI analyzes the transcript and generates human-like social media posts with realistic image prompts. The Function Node parses and structures the output by platform. The Google Sheets Node automatically saves all content — ready for scheduling or publishing. The SerpAPI Integration enhances contextual awareness by referencing real-time search trends. Set Up Steps Setting up this workflow typically takes 5–10 minutes. Connect your Google Sheets account (OAuth2). Connect your Groq AI and SerpAPI credentials. Upload your transcript file (e.g., from YouTube or podcast). Run the workflow to instantly generate platform-specific posts and prompts. View all results automatically saved in Google Sheets. Detailed instructions are included as sticky notes inside the workflow. Use Cases Turn YouTube videos or podcasts into multi-platform social content Auto-generate daily social posts using transcripts Build AI-powered repurposing systems for agencies or creators Save creative teams hours of manual copywriting work Requirements n8n account (self-hosted or cloud) Groq AI API Key SerpAPI Key (for optional trend enhancement) Google Sheets connection
By Muhammad Shaheer Awan