🧠 AI & AgentsSimple🧠 AI-powered

DM Automation

A 12-step ai & agents automation, triggered by webhook, connecting Webhook, HTTP / REST API, OpenAI (LLM), with built-in AI reasoning.

⬇ Download workflow JSON
💡

What this does for your business

In plain terms: this is an AI assistant that works whenever it receives a request or form submission. It uses AI to understand and generate content, so it handles judgement-style work, not just moving data. It connects to OpenAI (LLM) and completes multi-step tasks for you automatically — the kind of work you'd otherwise hand to a virtual assistant.

12
Nodes
3
Integrations
11
Connections
Webhook
Trigger

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🏗️ Architecture diagram

The real node graph exported from n8n — triggers (green), AI nodes (violet), services and logic — laid out as they run.

🔗WebhookwebhookIfifRespond to WebhookrespondToWebhook🧠AI Agentagent🧠Simple MemorymemoryBufferWindow🌐HTTP RequesthttpRequestEdit FieldssetEdit Fields1set🧠Structured Output Par…outputParserStructu…🧠OpenAI Chat ModellmChatOpenAiPinecone Vector StorevectorStorePineconeEmbeddings Google Gem…embeddingsGoogleGem…

⚙️ How it works

  1. Webhook · webhook
  2. Simple Memory · memoryBufferWindow
  3. Structured Output Parser · outputParserStructured
  4. OpenAI Chat Model · lmChatOpenAi
  5. Embeddings Google Gemini · embeddingsGoogleGemini
  6. If · if
  7. Edit Fields · set
  8. AI Agent · agent
  9. Pinecone Vector Store · vectorStorePinecone
  10. Respond to Webhook · respondToWebhook
  11. Edit Fields1 · set
  12. HTTP Request · httpRequest

💼 Business analysis

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Business use case

Deploys an autonomous AI agent that can reason over instructions, call tools, and take multi-step actions on behalf of a team — replacing repetitive knowledge work. It orchestrates Webhook, HTTP / REST API, OpenAI (LLM) so a single natural-language request becomes a completed task.

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Market need

Businesses are racing to put AI agents to work but lack the engineering to wire models to their real tools and data. This delivers that wiring as a ready-to-run asset.

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Market value

Custom AI-agent builds are quoted at $3,000–$15,000+ by agencies, with managed retainers on top. As a productised template it commands premium one-time or subscription pricing.

🧩 Integrations & stack

🔗Webhook🌐HTTP / REST API🧠OpenAI (LLM)
Node typeswebhook, if, respondToWebhook, agent, memoryBufferWindow, httpRequest, set, outputParserStructured, lmChatOpenAi, vectorStorePinecone, embeddingsGoogleGeminiWorkflow ID7Ou50yxut2IGeJk4
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