AI Agent workflows
518 results — all source-linked n8n references
Generate AI viral videos with NanoBanana & VEO3, shared on socials via Blotato
Generate AI viral videos with NanoBanana & VEO3, shared on socials via Blotato Who is this for? This workflow is designed for content creators, marketers, and entrepreneurs who want to automate their video production and social media publishing process. If you regularly post promotional or viral-style content on platforms like TikTok, YouTube Shorts, Instagram Reels, LinkedIn, and more, this template will save you hours of manual work. What problem is this workflow solving? / Use case Creating viral short-form videos is often time-consuming: You need to generate visuals, write scripts, edit videos, and then manually upload them to multiple platforms. Staying consistent across TikTok, YouTube Shorts, Instagram Reels, LinkedIn, Twitter/X, and others requires constant effort. This workflow solves the problem by automating the entire pipeline from idea → video creation → multi-platform publishing. What this workflow does Collects an idea and image from Telegram. Enhances visuals with NanoBanana for user-generated content style. Generates a complete video script with AI (OpenAI + structured prompts). Creates the final video with VEO3 using your custom prompt and visuals. Rewrites captio
Estimate Construction Costs from Revit/IFC Models with GPT-4 and Claude
Estimate material price and total cost for grouped BIM/CAD elements using an LLM-driven analysis. The workflow accepts an existing XLSX (from your model) or, if missing, can trigger a local RvtExporter.exe to generate one. It enriches each element group with quantities, pricing, confidence, and produces a multi-sheet Excel report plus a polished HTML executive report. What it does Reads grouped element data** (from XLSX or extracted via RvtExporter.exe). Builds enhanced prompts with clear rules (volumes/areas are already aggregated per group). Calls your selected LLM (OpenAI/Anthropic/etc.) to identify materials, pick the pricing unit, and estimate price per unit and total cost. Parses AI output, adds per-group KPIs (cost %, rank), and aggregates **project totals (by material, by category). Exports a multi-sheet XLSX and an HTML executive report (charts, KPIs, top groups). Prerequisites LLM credentials** for your chosen provider (e.g., OpenAI, Anthropic). Enable exactly one chat node and connect credentials. Windows host* only if you want to auto-extract from .rvt/.ifc via RvtExporter.exe. If you already have an XLSX, Windows is *not required**. Optional: Internet access on the LLM
Automate Sales Call Research and Follow-Ups with GPT-4, Tavily, Google Sheets
Description This n8n template automates prospect research and personalized follow-up writing right after a sales call is booked. It gathers company background, tech stack, and updates; suggests relevant solutions; and then drafts a handcrafted email, subject line, and SMS, all saved back into Google Sheets. Benefits Always show up to calls with prepared context. Ensure no follow-up slips through the cracks. Keep all notes, research, and outreach in a single system of record. Scale personalized outreach without losing the human touch. Use cases Prep for sales calls with richer prospect context. Save hours writing personal follow-ups. Keep sales records neatly in one shared sheet. Requirements Google Sheets with: Meeting Data → prospect info + enrichment fields Success Stories → testimonials (company, industry, results, solution used) Tavily API key OpenAI API key (GPT-4.1 or later recommended) n8n account with Google Sheets + LangChain enabled Google Sheets Template You’ll need two sheets inside one Google Spreadsheet: 1. Meeting Data (input + output) Columns: Name Email Company Website Job Title Meeting Date Company Overview (AI-filled) Tech Stack (AI-filled) Company Updates (AI-fi
STalk to Your Google Sheets Using ChatGPT-5
This n8n workflow template creates an intelligent data analysis chatbot that can answer questions about data stored in Google Sheets using OpenAI's GPT-5 Mini model. The system automatically analyzes your spreadsheet data and provides insights through natural language conversations. What This Workflow Does Chat Interface**: Provides a conversational interface for asking questions about your data Smart Data Analysis**: Uses AI to understand column structures and data relationships Google Sheets Integration**: Connects directly to your Google Sheets data Memory Buffer**: Maintains conversation context for follow-up questions Automated Column Detection**: Automatically identifies and describes your data columns 🚀 Try It Out! 1. Set Up OpenAI Connection Get Your API Key Visit the OpenAI API Keys page. Go to OpenAI Billing. Add funds to your billing account. Copy your API key into your OpenAI credentials in n8n (or your chosen platform). 2. Prepare Your Google Sheet Connect Your Data in Google Sheets Data must follow this format: Sample Marketing Data First row** contains column names. Data should be in rows 2–100. Log in using OAuth, then select your workbook and sheet. 3. Ask Questio
SQuery Business Data from Cin7 ERP with OpenAI Chatbot via Peliqan
How it works This template is an end-to-end demo of an in-house AI agent that can answer a wide range of questions by retrieving information from the Cin7 ERP system. For example users can ask questions related to products, stock, accounting or any other type of information contained in Cin7. Peliqan.io is used as a "cache" of all Cin7 data. Peliqan uses one-click ELT to sync all data from Cin7 to the built-in data warehouse, allowing for fast & accurate queries. The AI agent uses Text-to-SQL to answer questions. Text-to-SQL is performed via the Peliqan node, added as a tool to the AI Agent. The question of the user - in natural language - is converted to an SQL query by the AI Agent. The query is executed by Peliqan.io on the source Cin7 data and the result is interpreted by the AI Agent. Preconditions You signed up for a Peliqan.io free trial account You have a Cin7 Omni or Cin7 Core ERP system Set up steps Sign up for a free trial on peliqan.io Add Cin7 Omni or Cin7 Core as a connection in Peliqan (using an API key from Cin7) Copy your Peliqan API key (in Peliqan go to Settings > API key) and use it in n8n to add a Peliqan connection Select your data warehouse in the Peliqan
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Generate Platform-Optimized Social Media Content Across 6 Platforms with GPT-4o
Who’s it for This workflow is ideal for marketers, content creators, agencies, and small businesses that want to streamline the process of creating and publishing platform-optimized posts across multiple social media channels. How it works / What it does From a single user prompt, the workflow uses a custom system prompt and schema to generate tailored social media content for LinkedIn, Instagram, Facebook, Twitter (X), Threads, and YouTube Shorts. It creates platform-specific captions, hashtags, calls to action, and even AI-generated image suggestions, then routes the content to the correct publishing channel. How to set up Connect your social media platform credentials in n8n. Add your Google Docs links for the system prompt and content schema. Configure the IMGBB_API_KEY and any other required API credentials. Optionally connect Gmail and Telegram for approval workflows and notifications. Requirements n8n instance (self-hosted or cloud) API credentials for desired platforms Google Docs and Google Drive accounts How to customize the workflow Edit the system prompt and schema in Google Docs to adjust tone, style, and content format for each platform. Modify routing logic or add ne
Build a Customer Support RAG Agent with GPT-5, Telegram & Pinecone
🧠 RAG-Based Customer Support Agent (GPT-5 + Telegram) Description: This workflow builds a powerful Retrieval-Augmented Generation (RAG) Customer Support Agent that interacts with users directly through Telegram using the GPT-5 model. It combines real-time conversational capabilities with context-aware responses by leveraging vector search via Pinecone, making it ideal for automated, intelligent support systems. Watch Video Tutorial Build on Workflows Like These: https://www.youtube.com/@Automatewithmarc 💬 Key Features: Telegram Integration: Listens to customer queries via the Telegram Trigger node and sends back intelligent responses in the same chat. GPT-5 Agent (LangChain): A powerful AI agent node orchestrates the conversation using OpenAI's GPT-5 model. Contextual Memory: A Memory Buffer stores the last 15 interactions per user to provide more personalized and coherent multi-turn conversations. RAG with Pinecone: Integrates with Pinecone to fetch relevant answers from your “Customer FAQ” vector namespace, enabling grounded and accurate responses. Embeddings Generation: Uses OpenAI’s Embeddings node to process and vectorize documents for retrieval. End-to-End AI Pipeline: Conn
Create Viral LinkedIn Content with O3 & GPT-4.1-mini Multi-Agent Team
Create Viral LinkedIn Content with O3 & GPT-4.1-mini Multi-Agent Team This n8n workflow is a multi-agent LinkedIn content factory. At its heart is the Content Director Agent (O3 model), who acts as the project manager. It listens for LinkedIn chat messages, analyzes them, and coordinates a team of AI specialists (all powered by GPT-4.1-mini) to produce viral, engaging, and optimized LinkedIn content. 🟢 Section 1 – Workflow Entry & Strategy Layer Nodes: 🔔 When chat message received → Captures LinkedIn requests (your idea, draft, or prompt). 🧠 Content Director Agent (O3) → Acts as the leader, deciding how the content should be structured and which specialists to call. 💡 Think Node → Helps the Director brainstorm and evaluate possible approaches before delegating. 🤖 OpenAI Chat Model Director (O3) → The Director’s brain, providing strategic-level thinking. ✅ Beginner-friendly benefit: This section is like the “command center.” Any LinkedIn content request starts here and gets transformed into a clear, strategic plan before moving to specialists. ✍️ Section 2 – Content Creation Specialists Nodes: ✍️ LinkedIn Copywriter → Creates viral hooks, compelling posts, and platform-friendly
Amplify Social Media Presence with O3 and GPT-4 Multi-Agent Team
Amplify Social Media Presence with O3 and GPT-4 Multi-Agent Team 🌍 Overview This n8n workflow acts like a virtual social media department. A Social Media Director Agent coordinates multiple specialized AI agents (Instagram, Twitter/X, Facebook, TikTok, YouTube, and Analytics). Each agent creates or analyzes content for its platform, powered by OpenAI models. The result? A fully automated, cross-platform social media strategy—from content creation to performance tracking. 🟢 Section 1: Trigger & Director Setup 🔗 Nodes: When chat message received (Trigger)** → Starts the workflow whenever you send a request (e.g., “Plan a TikTok campaign for my product launch”). Social Media Director Agent* (connected to *OpenAI O3 model**) → Acts as the strategist. Think Tool** → Helps the Director “reason” before delegating. 💡 Beginner takeaway: This section makes your workflow interactive. You send a request → the Director decides the best approach → then it assigns tasks. 📈 Advantage: Instead of manually planning content per platform, you only send one command, and the AI Director handles the strategy. 🟦 Section 2: Specialized Social Media Agents 🔗 Nodes (each paired with GPT-4.1-mini): 📸
Creative Design Agency Simulation with OpenAI O3 and GPT-4.1-mini Multi-Agent
Creative Design Agency Simulation with OpenAI O3 and GPT-4.1-mini Multi-Agent Team This n8n workflow simulates a full-service creative agency powered by AI. At the center is a Creative Director Agent (O3 model) who takes client requests, plans the creative direction, and delegates work to a specialized design team. Each specialist runs on GPT-4.1-mini, keeping execution fast and cost-efficient. 🟢 Section 1 – Entry & Strategic Leadership Nodes: 💬 When chat message received → Entry point, listens for design briefs. 🎨 Creative Director Agent (O3) → The “agency head” who interprets requirements and decides which specialists to involve. 💡 Think Tool → Helps the Director brainstorm, evaluate alternatives, and refine direction. 🧠 OpenAI Chat Model Director (O3) → Strategic reasoning engine for the Director. ✅ Benefit for beginners: Think of this as the project manager’s desk — you submit a design request, and the Director figures out how to make it happen. ✍️ Section 2 – Core Creative Specialists Nodes: 🖼️ Graphic Designer → Logos, visual identity, print, packaging. 📱 UI/UX Designer → Wireframes, prototypes, interaction design. 🎯 Brand Strategist → Market positioning, brand guidel
Comprehensive Customer Support with OpenAI O3 + GPT-4.1-mini Multi-Agent Team
Support Director Agent with Customer Support Team Description Complete AI-powered customer support department with a Support Director agent orchestrating specialized support team members for comprehensive customer service operations. Overview This n8n workflow creates a comprehensive customer support department using AI agents. The Support Director agent analyzes support requests and delegates tasks to specialized agents for tier 1 support, technical assistance, customer success, knowledge management, escalation handling, and quality assurance. Features Strategic Support Director agent using OpenAI O3 for complex support decision-making Six specialized support agents powered by GPT-4.1-mini for efficient execution Complete customer support lifecycle coverage from first contact to resolution Automated technical troubleshooting and documentation creation Customer success and retention strategies Escalation management for priority issues Quality assurance and performance monitoring Team Structure Support Director Agent**: Strategic support oversight and task delegation (O3 model) Tier 1 Support Agent**: First-line support, basic troubleshooting, account assistance Technical Support Sp
Data Analytics Department with AI Team: CDO & Specialists Using OpenAI O3
CDO Agent with Data Analytics Team Description Complete AI-powered data analytics department with a Chief Data Officer (CDO) agent orchestrating specialized data team members for comprehensive data science, business intelligence, and analytics operations. Overview This n8n workflow creates a comprehensive data analytics department using AI agents. The CDO agent analyzes data requests and delegates tasks to specialized agents for data science, business intelligence, data engineering, machine learning, data visualization, and data governance. Features Strategic CDO agent using OpenAI O3 for complex data strategy and decision-making Six specialized data analytics agents powered by GPT-4.1-mini for efficient execution Complete data analytics lifecycle coverage from collection to insights Automated data pipeline management and ETL processes Advanced machine learning model development and deployment Interactive data visualization and business intelligence reporting Comprehensive data governance and compliance frameworks Team Structure CDO Agent**: Data strategy leadership and team delegation (O3 model) Data Scientist Agent**: Statistical analysis, predictive modeling, machine learning al
Create a Complete AI Engineering Department with OpenAI O3 and Specialized Agents
CTO Agent with Engineering Team Description Complete AI-powered engineering department with a Chief Technology Officer (CTO) agent orchestrating specialized engineering team members for comprehensive software development and technical operations. Overview This n8n workflow creates a comprehensive engineering department using AI agents. The CTO agent analyzes technical requests and delegates tasks to specialized agents for software architecture, DevOps, security, quality assurance, backend development, and frontend development. Features Strategic CTO agent using OpenAI O3 for complex technical decision-making Six specialized engineering agents powered by GPT-4.1-mini for efficient execution Complete software development lifecycle coverage from architecture to deployment Automated DevOps pipelines and infrastructure management Security assessments and compliance frameworks Quality assurance and test automation strategies Full-stack development capabilities Team Structure CTO Agent**: Technical leadership and strategic delegation (O3 model) Software Architect Agent**: System design, patterns, technology stack decisions DevOps Engineer Agent**: CI/CD pipelines, infrastructure automatio
Create Multi-Channel Content with O3 Director & GPT-4 Specialist Agents
Create Multi-Channel Content with O3 Director & GPT-4 Specialist Agents This n8n workflow creates a complete AI-powered content department. It starts when a chat request is received, then a Content Director Agent (powered by OpenAI O3) analyzes the request and delegates tasks to specialized agents (blogs, social, video, email, website, strategy). Each agent is powered by GPT-4.1-mini, keeping costs low and quality high. ✅ 📩 Section 1: Trigger & Director Setup ⚙️ Nodes 1️⃣ When Chat Message Received What it does:** Starts the workflow whenever a user sends a content request. Why it’s useful:** Allows real-time or on-demand content creation from chat inputs. 2️⃣ Content Director Agent (O3) What it does:** Analyzes user request, defines the best content mix, and delegates tasks to specialist agents. Why it’s useful:** Keeps your brand voice consistent and ensures all channels align to a unified content strategy. 💡 Beginner Benefit ✅ Single entry point → just type your content idea once ✅ AI Director coordinates everything for you ✅ No need to manage multiple tools ✅ 👥 Section 2: Specialist Content Agents Each request gets routed to one (or several) of these agents, depending on the
Multi-Agent Cold Email Campaign Generator with O3 Director & GPT-4.1 Specialists
Multi-Agent Cold Email Campaign Generator with O3 Director & GPT-4.1 Specialists 🌍 Overview This workflow simulates a virtual sales & marketing team where each AI agent has a role: A Director Agent (O3) who manages strategy. Multiple Specialist Agents (GPT-4.1-mini) for research, writing, personalization, deliverability, sequencing, and analytics. Everything is triggered automatically when a new chat message request comes in. 🟢 Section 1: Entry & Director 🔗 Nodes: 1️⃣ When chat message received (Trigger) 💬 Starts the workflow when a new request arrives (e.g., “Create a cold email campaign for SaaS CTOs”). 2️⃣ Outreach Director Agent (O3 model) 🎯 The “manager” agent. Decides what kind of campaign is needed and assigns tasks. 3️⃣ Think (Planning Node) 🧠 Helps the Director structure thoughts before delegating. 💡 Why useful? Director uses O3 (strong reasoning model) only where strategy is needed → reduces cost. Provides a single point of control to coordinate all other agents. 🔵 Section 2: Specialist Agents Each is powered by GPT-4.1-mini (cheaper + faster). 🔍 Prospect Research Specialist → researches target companies, roles, pain points. ✍️ Cold Email Copywriter → drafts subj
Comprehensive SEO Strategy with O3 Director & GPT-4 Specialist Team
Comprehensive SEO Strategy with O3 Director & GPT-4 Specialist Team Trigger When chat message received → User submits an SEO request (e.g., “Help me rank for project management software”). The message goes straight to the SEO Director Agent. SEO Director Agent (O3) Acts like the head of SEO strategy. Uses the Think node to plan and decide which specialists to call. Delegates tasks to relevant agents. Specialist Agents (GPT-4.1-mini) Each agent has its own OpenAI model connection for lightweight cost-efficient execution. Tasks include: Keyword Research Specialist → Keyword discovery, clustering, competitor analysis. SEO Content Writer → Generates optimized blog posts, landing pages, etc. Technical SEO Specialist → Site audit, schema markup, crawling fixes. Link Building Strategist → Backlink strategies, outreach campaign ideas. Local SEO Specialist → Local citations, GMB optimization, geo-content. Analytics Specialist → Reports, performance insights, ranking metrics. Feedback Loop Each agent sends results back to the SEO Director. Director compiles insights into a comprehensive SEO campaign plan. ✅ Why This Setup Works Well O3 Model for Director** → Handles reasoning-heavy orchestra
Automate Financial Operations with O3 CFO & GPT-4.1-mini Finance Team
Automate Financial Operations with O3 CFO & GPT-4.1-mini Finance Team This workflow builds a virtual finance department inside n8n. At the center is a CFO Agent (O3 model) who acts like a strategic leader. When a financial request comes in, the CFO interprets it, decides the strategy, and delegates to the specialist agents (each powered by GPT-4.1-mini for cost efficiency). 🟢 Section 1 – Entry & Leadership Nodes: 💬 When chat message received → Entry point for user financial requests. 💼 CFO Agent (O3) → Acts as the Chief Financial Officer. Interprets the request, decides the approach, and delegates tasks. 💡 Think Tool → Helps the CFO brainstorm and refine financial strategies. 🧠 OpenAI Chat Model CFO (O3) → High-level reasoning engine for strategic leadership. ✅ Beginner view: Think of this as your finance CEO’s desk — requests land here, the CFO figures out what needs to be done, and the right specialists are assigned. 📊 Section 2 – Specialist Finance Agents Each specialist is powered by GPT-4.1-mini (fast + cost-effective). 📈 Financial Planning Analyst → Builds budgets, forecasts, and financial models. 📚 Accounting Specialist → Handles bookkeeping, tax prep, and compliance
Maximize Customer Success with O3 and GPT-4.1-mini Multi-Agent AI Team
🌟 AI-05: CCO Customer Success Team - Multi-Agent AI Workflow 📋 Overview Transform your customer success operations with this comprehensive AI-powered workflow featuring a strategic Chief Customer Officer (CCO) agent and six specialized customer success agents. This multi-agent system handles everything from onboarding to retention, ensuring maximum customer satisfaction and revenue expansion. 🔗 Links: YouTube Channel**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Website**: https://nofluff.online ⚙️ How It Works Customer Success Request: Chat interface receives requests like "Create a comprehensive onboarding program for enterprise customers" CCO Strategic Analysis: O3-powered CCO agent analyzes customer lifecycle and determines optimal success strategy Specialist Delegation: Work distributed to 6 specialized agents for execution Comprehensive Output: Integrated customer success deliverables with actionable recommendations 👥 Meet Your AI Customer Success Team | Agent | Specialization | Model | Primary Output | |-------|----------------|-------|---------------| | 🌟 CCO Agent | Customer success strategy & retention oversight | O3
Comprehensive Legal Department Automation with OpenAI O3 CLO & Specialist Agents
CLO Agent with Legal Team Description Navigate legal complexities with an AI-powered Chief Legal Officer (CLO) agent orchestrating specialized legal team members for comprehensive legal operations and risk management. Overview This n8n workflow creates a comprehensive legal department using AI agents. The CLO agent analyzes legal requirements and delegates tasks to specialized agents for contract management, compliance, intellectual property, privacy law, corporate governance, and employment law. ⚠️ IMPORTANT DISCLAIMER: These AI agents provide legal information and templates, NOT legal advice. Always consult qualified legal professionals for binding legal matters. This workflow does not create attorney-client privilege or provide professional legal liability coverage. Building Blocks Approach This workflow provides foundational AI agents as building blocks for your legal operations. Feel free to: Customize agent prompts to match your industry and legal requirements Add relevant legal tools and integrations (contract management, compliance platforms) Modify specialist focus areas based on your specific legal needs Integrate with legal research databases and document management syst
Build Products with CPO-Led AI Team using OpenAI O3 and GPT-4.1-mini Agents
CPO Agent with Product Team Description Streamline product development with an AI-powered Chief Product Officer (CPO) agent orchestrating specialized product team members for comprehensive product strategy and execution. Overview This n8n workflow creates a comprehensive product development department using AI agents. The CPO agent analyzes product opportunities and delegates tasks to specialized agents for product management, UX design, user research, analytics, documentation, and strategic planning. Features Strategic CPO agent using OpenAI O3 for complex product strategy and decision-making Six specialized product agents powered by GPT-4.1-mini for efficient execution Complete product lifecycle coverage from ideation to launch Automated user research and persona development UX/UI design specifications and wireframing Product analytics and KPI tracking Technical documentation and API specifications Team Structure CPO Agent**: Product vision and strategy coordination (O3 model) Product Manager**: Roadmaps, feature specifications, user stories, planning UX/UI Designer**: User flows, wireframes, interface design, usability User Research Specialist**: Research plans, personas, market
Build Complete Sales Department with OpenAI Multi-Agent Team & CSO Orchestration
CSO Agent with Sales Team Description Complete AI-powered sales department with a Chief Sales Officer (CSO) agent orchestrating specialized sales team members for comprehensive revenue operations and sales automation. Overview This n8n workflow creates a comprehensive sales department using AI agents. The CSO agent analyzes sales opportunities and delegates tasks to specialized agents for lead generation, copywriting, proposals, objection handling, demos, and follow-up sequences. Features Strategic CSO agent using OpenAI O3 for complex sales strategy and decision-making Six specialized sales agents powered by GPT-4.1-mini for efficient execution Complete sales funnel coverage from lead generation to deal closure Automated proposal and contract generation Objection handling playbooks and closing techniques Demo preparation and presentation materials Follow-up and nurture campaign automation Team Structure CSO Agent**: Strategic sales oversight and team coordination (O3 model) Lead Generation Specialist**: Prospecting, research, qualification, cold outreach Sales Copywriter**: Pitch decks, proposals, sales collateral, persuasive content Proposal & Contract Specialist**: Deal structur
Create a Complete HR Department with OpenAI O3 and GPT-4.1-mini Multi-Agent System
CHRO Agent with HR Team Description Complete AI-powered HR department with a Chief Human Resources Officer (CHRO) agent orchestrating specialized HR team members for comprehensive people operations. Overview This n8n workflow creates a comprehensive human resources department using AI agents. The CHRO agent analyzes HR requests and delegates tasks to specialized agents for recruitment, policy development, training, performance management, employee engagement, and compensation analysis. Features Strategic CHRO agent using OpenAI O3 for complex HR decision-making Six specialized HR agents powered by GPT-4.1-mini for efficient execution Complete HR lifecycle coverage from hiring to retention Automated policy creation and compliance documentation Performance review and goal-setting systems Employee engagement and culture initiatives Compensation analysis and benchmarking Team Structure CHRO Agent**: Strategic HR oversight and task delegation (O3 model) Recruiter Agent**: Job descriptions, candidate screening, interview questions HR Policy Writer**: Employee handbooks, policies, compliance documentation Training & Development Specialist**: Onboarding programs, learning materials Perform
Build an AI Marketing Team with OpenAI O3 and GPT-4.1-mini for Automated Content Creation
🧠 Overview This multi-agent n8n automation simulates a high-functioning marketing team. A strategic CMO agent receives your chat-based input, decides which specialist is best for the task, and delegates accordingly. Each specialist (copywriter, SEO expert, brand strategist, etc.) operates independently using fast, cost-effective GPT-4.1-mini models—resulting in parallel task execution and full-funnel marketing output with minimal human input. ⚙️ How It Works A chat message trigger listens for input (e.g. “Write a full email funnel for our SaaS launch”). The CMO Agent (powered by OpenAI O3) reads the message and determines intent, strategy, and needed outputs. It dynamically delegates tasks to the correct AI agent: Copywriter Agent Facebook Ads Specialist SEO Content Writer Email Marketer Social Media Manager Brand Voice Specialist Each agent uses a dedicated GPT-4.1-mini model to produce results instantly. Final content is returned to the user or passed along for integration with your CMS, ad platforms, or CRM. 🧰 Tools Used n8n** – Orchestrates the entire agent communication and routing logic OpenAI O3** – Advanced strategic reasoning (CMO Agent) OpenAI GPT-4.1-mini** – Fast and
SCreate Custom Reasoning Patterns for AI Agents with GraphRAG & Knowledge Ontology
Teach your AI agent HOW to think, not WHAT to think This workflow demonstrates how you can build an AI agent in n8n that uses the reasoning logic you define. So an LLM learns a way of thinking, which you can then apply to multiple problems: Make an AI chatbot that knows how to convince anybody using the "Getting to Yes" method Build an LLM workflow that uses Ray Dalio's principles to spot investment opportunities Create an AI agent crew of interdisciplinary thinkers: e.g. a specialist in psychology who gives an advice on education programmes. How it works This template uses the n8n AI agent node as an orchestrating agent that has access to a certain reasoning logic defined by an InfraNodus knowledge graph. This graph contains a list of reasoning rules (ontology), which is extracted to provide an advice that is relevant to the original prompt. It uses GraphRAG under the hood to traverse the parts of the graph relevant to the query. This advice and the reasoning logic extracted is then used by the AI agent to generate a response that is relevant to the user's query but that uses the reasoning logic provided through the graph. Here's a description step by step: The user submits a ques