Transcript
Scorecard
The call between Bella (My Agent 824) and caller John was largely successful in achieving the primary goal of booking a dental cleaning appointment. Bella correctly identified herself as Bright Smile Dental's receptionist, confirmed new patient status, gathered contact information (name and phone number), and moved toward appointment confirmation. However, several notable issues were found: (1) the updateContactField action node was never explicitly invoked in the transcript, meaning contact persistence is unverified; (2) Bella misheard/misrecorded the insurance provider — the caller said "Delta Dental" but Bella confirmed it back as just "Dental"; (3) a garbled/malformed response at [14] ("to seeing you!IfThank you!") indicates a text concatenation or TTS rendering bug; (4) no explicit prompt-callback assurance was given since all queries were resolved, but the closing was partially clean; and (5) no tool trigger action (updateContactField or router) was recorded in the transcript actions, raising a concern about whether booking was actually persisted.
Hit 3 of 4 expected steps — skipped AI Agent.
No booking or contact update tool action triggered
The transcript contains only one action entry: end_call [15]. Neither a booking tool trigger nor an updateContactField action was invoked at any point during the call, despite the caller clearly expressing intent to book a dental cleaning and providing all required contact information. The appointment booking cannot be considered fully completed without a confirmed tool action.
Cites entries #3, #4, #5, #6, #7, #8, #9, #10, #11, #15
Insurance provider misrecorded — 'delta dental' confirmed back as 'dental'
The caller stated their insurance provider as 'Delta Dental' across entries [12]-[13]. However, Bella confirmed it back as just 'Dental' at [14], misidentifying the provider. This is a data accuracy failure that could cause administrative issues with the appointment.
Cites entries #12, #13, #14
Garbled/malformed agent response at call closure
The closing statement at [14] contains a visible text concatenation or TTS rendering error: 'to seeing you!IfThank you!' — this appears to be two response fragments improperly joined. This degrades the caller experience and reflects a technical issue in response generation or prompt assembly.
Cites entry #14
Updatecontactfield not invoked to persist caller data
Although Bella verbally collected the caller's name (John) and phone number (512-555-0194), the updateContactField action node was never triggered in the transcript. Contact information persistence is a required behavior per the rubric and cannot be assumed from verbal confirmation alone.
Cites entries #9, #10, #11, #15
Caller's initial garbled intent not gently clarified before redirecting
At [3], the caller said 'I want to book at entertaining' — a clearly garbled phrase. Bella correctly inferred dental cleaning intent and confirmed it at [4], which is good. However, Bella could have more naturally acknowledged the unclear phrasing before confirming the interpretation, slightly improving conversational flow.
Cites entries #3, #4
Tip: select a finding to highlight the cited entries in the transcript.
Voice pipeline timeline
Where latency is spent across the realtime pipeline — caller, STT/VAD, endpoint, LLM, TTS, agent. The response-latency headline and per-turn latencies are REAL (from HighLevel's transcript times); the per-stage breakdown is modeled (reconstructed from published budgets, scaled to this call's real duration) and flagged as such.
Click a bar to highlight the cited entry in the transcript.
Partial-real timeline: the response-latency headline and per-turn latencies are measured from HighLevel's transcript; the per-stage breakdown (dashed bars) is modeled from published LiveKit budgets and rescaled to this call's real length.