AI Support Agent with Product Recommendations (n8n + Groq) by Yevheniia Smahlii HumenkoAI Support Agent with Product Recommendations (n8n + Groq) by Yevheniia Smahlii Humenko
AI Support Agent with Product Recommendations (n8n + Groq)Yevheniia Smahlii Humenko
Cover image for AI Support Agent with Product Recommendations (n8n + Groq)
I build custom AI agents for customer support and sales consultations. The agent doesn't just answer FAQ — it conducts a full needs analysis, asks clarifying questions, and delivers personalized product recommendations in real-time.

What problem this solves

Standard chatbots fail on complex queries. They lose users when questions go beyond scripted scenarios. This agent handles non-linear conversations: it gathers requirements (budget, dimensions, preferences), maintains context across multiple messages, and guides the client to a decision — without human intervention.

What you get

[Ultra-fast responses] Powered by Groq API with Llama 3. Answers appear instantly, creating the feel of talking to a live agent.
[Multi-turn memory] The agent remembers everything from the conversation. If the client mentions budget in message one and color in message three, it won't ask again.
[Structured output] Responses come in clean JSON format. Your frontend can render product cards, spec tables, and follow-up questions separately — no messy text blocks.
[No hallucinations] System prompts and structured output keep the agent on-topic. It recommends only from your product data, never invents features.

What's included in the service

[Core workflow] Full n8n automation setup: webhook handling, LLM routing, memory management, response formatting.
[Prompt engineering] Custom system prompt tailored to your business: tone of voice, recommendation logic, follow-up question strategy.
[Data integration] Connection to your product source — Google Sheets, API, or CRM. The agent checks real stock and prices.
[Demo & handover] Working demo video, documentation, and a handover call to explain how to modify the workflow yourself.

Tech stack

[Orchestrator] n8n (visual workflow, webhooks, message routing)
[LLM] Groq API (Llama 3, ultra-low latency inference)
[Memory] n8n Chat Memory (session-based context retention)
[Output] JSON Mode / Structured Outputs (for clean frontend rendering)

Who this is for

E-commerce stores with complex product catalogs, B2B suppliers handling technical inquiries, service businesses needing appointment booking with qualification. If your clients ask questions that don't fit a decision tree — this is for you.

Ready to discuss your use case? Send me a message with a brief description of your business and what questions your customers typically ask. I'll outline how the agent would handle them.
Starting at$80
Duration2 days
Tags
Groq API
N8N
LLM
AIAgent
AIAgentDeveloper
aiautomation
AISupport
ChatbotDevelopment
PromptEngineering
Service provided by
1
Followers
AI Support Agent with Product Recommendations (n8n + Groq)Yevheniia Smahlii Humenko
Starting at$80
Duration2 days
Tags
Groq API
N8N
LLM
AIAgent
AIAgentDeveloper
aiautomation
AISupport
ChatbotDevelopment
PromptEngineering
Cover image for AI Support Agent with Product Recommendations (n8n + Groq)
I build custom AI agents for customer support and sales consultations. The agent doesn't just answer FAQ — it conducts a full needs analysis, asks clarifying questions, and delivers personalized product recommendations in real-time.

What problem this solves

Standard chatbots fail on complex queries. They lose users when questions go beyond scripted scenarios. This agent handles non-linear conversations: it gathers requirements (budget, dimensions, preferences), maintains context across multiple messages, and guides the client to a decision — without human intervention.

What you get

[Ultra-fast responses] Powered by Groq API with Llama 3. Answers appear instantly, creating the feel of talking to a live agent.
[Multi-turn memory] The agent remembers everything from the conversation. If the client mentions budget in message one and color in message three, it won't ask again.
[Structured output] Responses come in clean JSON format. Your frontend can render product cards, spec tables, and follow-up questions separately — no messy text blocks.
[No hallucinations] System prompts and structured output keep the agent on-topic. It recommends only from your product data, never invents features.

What's included in the service

[Core workflow] Full n8n automation setup: webhook handling, LLM routing, memory management, response formatting.
[Prompt engineering] Custom system prompt tailored to your business: tone of voice, recommendation logic, follow-up question strategy.
[Data integration] Connection to your product source — Google Sheets, API, or CRM. The agent checks real stock and prices.
[Demo & handover] Working demo video, documentation, and a handover call to explain how to modify the workflow yourself.

Tech stack

[Orchestrator] n8n (visual workflow, webhooks, message routing)
[LLM] Groq API (Llama 3, ultra-low latency inference)
[Memory] n8n Chat Memory (session-based context retention)
[Output] JSON Mode / Structured Outputs (for clean frontend rendering)

Who this is for

E-commerce stores with complex product catalogs, B2B suppliers handling technical inquiries, service businesses needing appointment booking with qualification. If your clients ask questions that don't fit a decision tree — this is for you.

Ready to discuss your use case? Send me a message with a brief description of your business and what questions your customers typically ask. I'll outline how the agent would handle them.
$80