Turn a short chat about your idea into a full Business Model Canvas. The flow gathers your inputs and writes clear sections you can share with your team. It fits founders, marketers, and product leads who need fast structure.

A chat message starts a set of AI agents powered by an Ollama model. Each agent drafts one block of the canvas: Key Partners, Key Activities, Value Proposition, Customer Relationships, Customer Segments, Key Resources, Channels, Cost Structure, and Revenue Streams. A separate agent creates a simple business name. Code nodes format the answers into clean HTML lists, then all parts merge into one page and export as a file you can view or download. You can switch models by changing the agent connections without touching the format nodes.

Set up Ollama and load the llama3.1 model, or connect another LLM if you prefer. Expect a finished canvas in minutes, ready for pitches, team workshops, or quick idea checks. Teams save hours on first drafts and keep a consistent format across every version.

• Chat trigger collects your business idea and goals.
• Dedicated AI agents generate each canvas section including partners, activities, value, relationships, segments, resources, channels, costs, and revenue.
• A title agent creates a short business name.
• Code transformers convert pipe separated text into HTML bullet lists.
• Merges all sections into one structured HTML page.
• Exports the page as a file with preview and download options.
• Ollama model powers all agents and can be replaced with another LLM.
• Sticky notes guide you to change the model and find the final file.

• Reduce manual drafting from 3 hours to 10 minutes
• Automate about 80 percent of the canvas writing
• Cut formatting fixes by 90 percent with clean HTML output
• Support many ideas in one place through a simple chat
• Swap AI models without changing the page layout

1. Import the template into n8n: Create a new workflow in n8n > Click the three dots menu > Select 'Import from File' > Choose the downloaded JSON file.
2. You'll need accounts with Ollama. See the Tools Required section above for links to create accounts with these services.
3. Install Ollama on your machine or server and pull the model by running: ollama pull llama3.1. Make sure the Ollama server is running on http://localhost:11434 or your chosen host.
4. In n8n, open the Ollama Chat Model node. In the 'Credential to connect with' dropdown, click 'Create new credential'. Set the base URL to your Ollama server and save.
5. Open each AI Agent node and confirm the ai_languageModel field points to the Ollama Chat Model credential. If not, select it from the dropdown.
6. Open the chat trigger node and review the initial message. Use the chat window in n8n to send your business idea when you are ready to test.
7. Execute the workflow and send a sample idea. Check the agent nodes to confirm they produce lists separated by the pipe character.
8. Open the HTML Transformer nodes. Verify the output shows proper HTML list items. If items are not split, adjust prompts to return items separated by the pipe character.
9. Review the Merge All Data and Turn to HTML nodes to confirm the full page is assembled without missing sections.
10. Go to the HTML code to HTML file node and click View to preview or Download to save the final canvas.
11. If you prefer another LLM, double click an agent node, change the model to your provider, create new credentials, and save. No changes to the HTML or merge steps are needed.
12. Troubleshoot common issues: if the chat does not respond, ensure your n8n instance is reachable. If the file is empty, check that each agent returned text and that the Ollama server is running.