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BUILD 06 / VOICE + CHAT AGENT / 02 OCT 2026

RelayPay Support Line

I built a voice and chat support agent for RelayPay. It answers policy questions, checks account details for the right customer, and books a callback when someone needs a person.

7MCP support tools
6reply checks
4.2srecorded median voice turn

The problem

Payment support mixes simple policy questions with private account issues. I wanted the agent to answer the first kind quickly and check who it was talking to before handling the second.

What I built

Voice and chat use the same Claude Agent SDK agent. I gave it seven MCP support tools and added six checks before a response reaches the user. Vapi handles voice, and Supabase stores the conversations, tool calls, tickets, and evaluations.

When a person needs to step in

The handoff books a Cal.com callback during support hours, emails the support inbox, and posts to Discord. If the calendar call fails, the system records the failure. The agent can’t tell someone they have a booking when it didn’t make one.

What I tested

The 2 October records show a 4.2-second median voice turn on Render and eight of eight brief scenarios passing. Those are results from that run, not a promise that every future call will be that fast.

WHAT I LEARNED

What testing caught

My first retrieval tests passed with fixture vectors. Real searches showed what those tests missed. I separated the test data from the live knowledge base so that a passing test actually means something.

Recorded evaluation · 2 October 2026. The figures here come from those test records.

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