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Demo lab

Agent Repair Center

A shareable demo of the loop: bad call, root cause, suggested fix, approved patch, and replayed regression test.

No auth required

Recording script

Your AI phone agent should learn from every bad call.

  1. 1. Show the failed emergency booking call.
  2. 2. Show the detected root cause.
  3. 3. Approve the generated knowledge patch.
  4. 4. Replay the same caller and show the pass.
Root cause
Missing policy
After-hours emergency handling
Suggested repair
Drafted
Knowledge-base patch
Regression
Waiting
Same caller, same scenario

Failed call

TalkPatch highlights the exact turn that lost the caller.

Needs repair
  1. CU

    Hi, my crown came loose and it hurts. Do you handle emergency appointments after 6 PM?

  2. AG

    I am not sure about after-hours emergencies. Please call back tomorrow morning and the front desk can help.

  3. CU

    Okay. I will try another clinic.

Repair brief

The platform turns the miss into an owner-approved fix.

Needs approval
What went wrong

The agent did not know the after-hours emergency policy, so it pushed an urgent caller to another clinic.

Suggested knowledge patch

For dental emergencies after 6 PM, collect the caller's name, phone number, symptoms, and preferred callback time. Mark the lead as urgent for staff follow-up.

Generated regression test

Caller asks for after-hours emergency support. Agent must confirm the policy, collect triage details, and create an urgent handoff.

Replay result

The same scenario becomes a reusable safety check before the agent changes go live.

Locked
Before

Caller leaves because the agent cannot answer a high-intent emergency booking question.

After
  1. CU

    Hi, my crown came loose and it hurts. Do you handle emergency appointments after 6 PM?

  2. AG

    Yes. For urgent dental issues after 6 PM, I can collect your name, phone number, symptoms, and mark this as urgent for the on-call team.

  3. CU

    Great, please do that.