Kelvin Biffi
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Résumé

StartAtende

A WhatsApp support agent that also tells the business what customers want.

Role
Founder, design and engineering
Status
In production
Stack
LLM agents · WhatsApp · intent routing · sentiment analysis
Link
startatende.com ↗

01The problem

A support agent that only answers throws away the most honest data a business has: what its customers actually say.

02What I built

AI customer support on WhatsApp with intent routing. Then the agent's own conversations with users, customers and leads are analyzed for sentiment, product gaps, business opportunities and market signals. The agent does not just answer, it becomes a source of product decisions.

03The decision that mattered

Cost is tracked per conversation, not per API call, because a conversation is the unit a business can actually price against.

04Receipts

  • Intent routing on WhatsApp
  • Cost per conversation, including model cost
  • Sentiment, FAQ gaps and business insights over the agent's own conversations
  • An MCP server exposes all of it to your assistant

05MCP

Ask your support operation questions: performance, sentiment, FAQ gaps, model cost, top intents. · Remote MCP connector

  • get_overview
  • get_agent_performance
  • get_business_insights
  • get_faq_gaps
  • get_model_costs
  • get_sentiment_trend
  • get_top_intents
  • get_top_clients
  • get_products
  • get_payment_summary
  • list_conversations

06Stack

  • LLM agents
  • WhatsApp
  • intent routing
  • sentiment analysis
  • MCP
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