Voice agents fail
in the audio layer, not the chat API.
We place real test calls from home networks, where your customers actually are. Did the call connect? Did the agent say the right thing? We catch what a text API check never will.
The problem
Text checks don't hear what callers hear.
Three real calls. Three ways the transcript looked fine and the caller didn't.
API says fine, caller hears nothing
Your backend looks healthy. The person on the phone hears silence or a loop.
Works in one place, breaks in another
Fine from your office. Garbled or slow from a home network halfway across the world.
Breaks when the conversation gets real
One test phrase isn't a phone call. People interrupt, follow up, and change their mind.
What we validate
The call layer fails in ways text checks never see.
Reliability, consistency, and answer quality on real test calls from home networks. Plain verdicts, not a wall of audio engineering jargon.
Reliability
Did the call connect, pick up fast, and keep working from the places callers actually are?
Calls from home networks
CheckThe audio path goes out from real home internet, not a datacenter pretending to be a user.
Answers fast enough on the phone
CheckDead air after pickup feels broken. We measure time to the first word, not just whether the call connected.
Different countries, different call
CheckSame voice agent, different region, different latency and routing. We place test calls from where your users are.
Keeps working, probe after probe
CheckOne good call means nothing. Scheduled probes track whether sessions stay healthy over time.
Bad line or bad agent?
CheckWhen results diverge by region, we separate a rough network path from an agent that actually broke.
The call itself
Real phone behavior: greetings, turns, interruptions, and no getting stuck.
Real conversations
CheckHello, the actual task, an interruption, a follow-up. The way people talk on the phone, not one canned clip.
Did the call keep moving?
CheckSilence, loops, and stuck IVR paths show up here. Not just whether the API returned 200.
When callers interrupt
CheckPeople talk over the agent. We script interruptions and check whether the agent yields and recovers.
Answer quality
What was said, whether it made sense, and whether we trust what we heard.
Was what it said OK?
CheckWe judge the transcript like a human would: pass, degraded, or inconclusive, with plain reasoning.
We double-check what we heard
CheckGarbled audio should not become a false fail. Multiple passes on the recording have to agree before we score the agent.
When the audio was junk
CheckIf the line quality was too poor to trust, we say inconclusive instead of blaming the agent.
Consistency
Same situation, same story. Tone changes, messy speech, and follow-ups included.
Same situation, different tone
CheckCalm question vs panicked question. We flag answers that swing when the situation did not really change.
People talk messy
CheckUm, uh, restarts, and rephrasing mid-sentence. Good agents still understand real callers.
Follow-ups still line up
CheckCancel, then refund, then confirm. Later turns should not contradict what the agent promised earlier in the call.
Platforms and ops
How you connect, what you get back, and where you see it.
Browser calls vs phone lines
CheckFull validation today on WebRTC-style sessions from home networks. Plain phone origination is supported with honest limits until media capture catches up.
Timeline for every call
CheckConnect, first speech, each turn, hangup. Enough detail to debug without listening to every recording yourself.
Alerts when calls fail
CheckSlack, webhooks, PagerDuty. Context on what broke in the session, not just a red dot.
Chat and voice, one place
CheckVoice gets its own tab on the same agent you already monitor. One workspace if you ship both.
FAQ
Common questions
| Question | Answer |
|---|---|
| I'm already using my voice provider's dashboard. Why do I need you? | Your provider can tell you their side worked. We call your agent the way a customer would, from a home network with a real back-and-forth, and tell you what the caller actually experienced. |
| We run smoke tests before deploy. Isn't that enough? | Staging tests usually run from one place, on clean internet, with a script you wrote. We call from home networks in the regions you care about, the way people actually talk on the phone. |
| We test from our office and it sounds fine. Why would it fail elsewhere? | Your office isn't your customer. Routing, latency, and carrier behavior change what callers hear depending on where they are. We test from those places. |
| Do you test if the agent handles interruptions? | Yes. Real callers talk over the agent. We script barge-ins and check whether the call recovers instead of looping or going silent. |
| How is this different from checking the chat API behind our voice agent? | The text layer can look healthy while the caller hears silence, a loop, or the wrong prompt. We validate the call itself: connection, response, and whether what was said made sense. |
| Do you record or listen to our live customer calls? | No. We place test calls using scenarios you configure. Your production traffic stays yours. |
| What do we actually get back? | A plain verdict: did it connect, did the agent respond, was the answer sensible. Plus enough detail for your team to fix it. Same dashboard as chat validation. |
| Can we monitor chat and voice in one place? | Yes. Voice sits on its own tab on the same agent. One workspace if you're shipping both. |