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🧠 AI & AgentsSimple🧠 AI-powered

Bubble AI Chatbot

A 13-step ai & agents automation, triggered by webhook, connecting Webhook, HTTP / REST API, OpenAI (LLM), with built-in AI reasoning.

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💡

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.

13
Nodes
3
Integrations
13
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.

🔗Webhookwebhook🌐Node #5: HTTP Request…httpRequest🌐Node #2: HTTP Request…httpRequest🧠Simple MemorymemoryBufferWindow•message_count == 1?if•user_latest - Input?code•Edit Fieldsset🧠LLMlmChatOpenAi🧠new_conversationagent🧠existing_conversationagent🌐Node #5: HTTP Request…httpRequest•continued_chatrespondToWebhook•new_chatrespondToWebhook

⚙️ How it works

  1. Webhook · webhook
  2. Simple Memory · memoryBufferWindow
  3. LLM · lmChatOpenAi
  4. Node #2: HTTP Request (Fetch Messages) · httpRequest
  5. existing_conversation · agent
  6. new_conversation · agent
  7. message_count == 1? · if
  8. Node #5: HTTP Request (Save AI Response To Bubble) · httpRequest
  9. Node #5: HTTP Request (Save AI Response To Bubble)1 · httpRequest
  10. Edit Fields · set
  11. user_latest - Input? · code
  12. continued_chat · respondToWebhook
  13. new_chat · respondToWebhook

💼 Business analysis

🎯

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, httpRequest, memoryBufferWindow, if, code, set, lmChatOpenAi, agent, respondToWebhookWorkflow IDeQQb0A7Wbk96rNAO
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