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AI Agents

Customer Support Agent with Escalation

Answer support chats from your docs and escalate to a human with full context.

Intermediate18h1–3 people16/20 fit
TL;DR

Build Customer Support Agent with Escalation for small saas teams in ~18h with 1–3 people. Stack: RAG + LLM + Vector DB + Next.js.

Why it wins: The escalation design shows real product thinking.

Build flow

01 · Problem
Support bots frustrate users when they get stuck and hand off without context.
02 · Solution
A RAG agent answers from docs, detects frustration or low confidence and escalates with a summary, the attempted answers and the customer's goal.
03 · Build
  1. 1Index docs into a vector DB
  2. 2Answer with citations
  3. 3Score confidence and sentiment
  4. 4Generate a handoff summary
04 · Demo
Get the bot stuck on purpose and show the clean human handoff summary.

MVP checklist

  • Docs-grounded answers
  • Confidence scoring
  • Context-rich handoff
  • Conversation analytics

Tech stack

TechRole
RAGRetrieval over your docs
LLMLanguage model
Vector DBEmbedding search
Next.jsFrontend + API routes

Reference repos

Open-source projects you can build on. Links checked 2026-10-31.

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