Gamify fitness tracking with GPT-4o-mini multi-agents and Google Sheets
Ready for 3.0What this workflow does
This AI workflow has 15 nodes and runs when a chat message arrives. Along the way it connects OpenRouter Chat Model and Google Sheets.
How it runs
Trigger: When a chat message arrives.
- Get row(s) in sheet (Google Sheets): uses Google Sheets
- AI Scorer & Intent Classifier (Basic LLM Chain): sends a prompt to an LLM, with model: OpenRouter Chat Model
- Bounty Calculator (JS Logic) (Edit Fields (Set)): sets 2 fields: new_bounty, ai_role
- Update User Bounty (Google Sheets): update
- Switch: routes items into 4 branches
- Chef Agent (Basic LLM Chain): sends a prompt to an LLM, with model: OpenRouter Chat Model
- Samurai Agent (Basic LLM Chain): sends a prompt to an LLM, with model: OpenRouter Chat Model
- Doctor Agent (Basic LLM Chain): sends a prompt to an LLM, with model: OpenRouter Chat Model
- Navigator Agent (Basic LLM Chain): sends a prompt to an LLM, with model: OpenRouter Chat Model
- Save Chef Log (Google Sheets): append
…plus 3 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (6)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Switch
n8n-nodes-base.switch - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Google Sheets
n8n-nodes-base.googleSheets - Edit Fields (Set)
n8n-nodes-base.set
From the author
Title: Gamify fitness tracking with AI multi-agents and Google Sheets Overview This template transforms fitness tracking into a gamified pirate adventure using AI multi-agents. It scores your health activities and assigns a dynamic "Bounty" reward. How it…