AI Caller

The AI Caller lets admins deploy AI-powered voice bots that can conduct phone calls, in-browser audio sessions, or video sessions with candidates. Each bot follows a configurable conversation script, captures structured data during the call, and feeds results back into hiring workflows and automations.

Creating an AI Caller Bot

Each bot is configured with:

Conversation Design

Setting	Description
System Prompt	The main conversation script that guides the bot’s behavior, questions, and tone
System Instructions	High-level behavioral instructions for the bot
Input Variables	Data passed to the bot before the call starts (e.g., candidate name, application details) — resolved from the candidate’s data
Output Variables	Structured data the bot should capture during the conversation (e.g., availability, salary expectations, qualifications)

Output Variable Types

Each output variable specifies what kind of data to capture:

Type	Description
Text	Free-form text response
Number	Numeric value — supports subtypes: Default, Currency, Percentage, Days, Months, Years
Selection	One or more choices from a predefined list (preset options or custom options, with optional multi-select)
Date	A date value, with optional restrictions on past or future dates
Email	An email address
Phone Number	A phone number

Each variable also includes a capture prompt — an instruction that tells the bot exactly what to listen for.

Voice & Audio Settings

Setting	Description
Voice	Choose from 10 voices: Alloy, Ash, Ballad, Cedar, Coral, Echo, Sage, Shimmer, Verse, Marin
Voice Speed	Adjust the speaking rate
Maximum Call Duration	Set a time limit (in seconds) for the conversation
Short Drop Duration	Minimum call length (in seconds) before the call is considered a short/dropped call (default: 10s)
Profile Picture	An avatar displayed to the candidate during audio/video sessions

Realtime Model

Choose which GPT Realtime model powers the conversation:

Model	Description
GPT Realtime	Standard realtime model
GPT Realtime Mini	Lightweight model — faster responses, lower cost
GPT Realtime 1.5	Latest generation model (default) — best quality and latency

Turn Detection

Controls how the bot recognizes when the candidate has finished speaking:

Mode	Description
Voice Activity Detection	Detects silence to determine speech boundaries — configurable threshold (0–1, default 0.65), prefix padding (ms), silence duration (ms), and idle timeout (ms)
Semantic Detection	Uses AI to understand conversational flow — configurable eagerness level (Low, Medium, High)

Smooth Barge-in

When enabled, the bot uses local Silero-based VAD to detect when a candidate speaks over the bot, making the mid-sentence barge in feel more natural. Disabled by default.

Summarization

A summary of the conversation is automatically generated after every call. A custom summary prompt can be provided to control what aspects of the conversation are highlighted.

Conversation History

When enabled, the bot includes summaries from prior calls with the same candidate in its context — useful for multi-stage workflows or follow-up calls.

Call Recording

Call recording requires a feature flag to be enabled for your account. Once enabled, recordings are stored securely and linked to the enrollment record. Even without the feature flag, recording can be enabled for individual test calls to review bot behaviour before going live.

Data Access

The bot can optionally be granted access to the candidate’s full data profile, allowing it to reference application details, documents, and other information during the conversation.

Tool Calling

Bots can invoke automations during a live call. Each linked automation (a Caller Bot Automation) is exposed to the AI as a callable tool.

Setting	Description
Automation	The automation to invoke
Slug	Unique identifier for this tool (must be unique per bot)
Tool Description	Plain-language description of when the AI should invoke this tool
Payload Schema	Fields the AI must collect before invoking (each field has a name, type, and description)
Enabled	Toggle the tool on or off without removing the configuration

The AI decides when to invoke a tool based on the conversation context and tool descriptions. Automations run asynchronously — the call continues while the automation executes.

Call Types

Type	Description
Phone	An outbound phone call to the candidate’s number, placed via telephony provider
Audio	An in-browser audio session — the candidate speaks through their device microphone
Video	An in-browser video session — includes camera and microphone

How Calls Are Triggered

Method	Description
From a Hiring Flow Form	An AI Caller element is embedded in a form page — the call is initiated when the candidate reaches that step
From an Automation	The “AI Caller” automation action enrolls a candidate in a call
Manual Test	Admins can test the bot directly from the setup interface

Form Integration

When an AI Caller is embedded within a hiring flow form, admins configure form mappings:

Input mappings connect data from the candidate’s profile to the bot’s input variables
Output mappings connect the bot’s captured responses to specific form fields

This means the bot’s conversation can both read from and write to the candidate’s application data. If the form element is configured as blocking, the candidate cannot proceed to the next page until the call is completed.

Call Logs & Monitoring

Every call generates a detailed enrollment record. Admins can review calls across three views:

Test Logs — Calls initiated from the admin test interface
Automation Logs — Calls triggered by automations
Application Logs — Calls triggered during form submission

Log Filters

Filter	Options
Search	By candidate name
Call Type	Phone, Audio, Video
Call Status	Initiated, In Progress, Completed, Failed

Call Detail

Each call record includes:

Section	Content
Summary	Status, duration, and count of captured answers
Recording	Audio playback of the conversation (requires feature flag, or enabled per test call)
Transcript	Full text of the conversation
Conversation Summary	AI-generated summary of the conversation
Candidate Details	Linked candidate profile information
Output Values	All captured variable values

Admins can re-trigger a test call or re-compute captured answers from the transcript.

Call Statuses

Status	Description
Initiated	Call is queued but not yet started
In Progress	Call is currently active
Completed	Call finished successfully
Failed	Call could not be completed due to an error
Short Drop	Call ended before the minimum call duration threshold
Identity Mismatch	The person who answered could not be verified as the intended candidate
Reschedule Required	The candidate requested to be called back at a different time
Connection Error	Call could not be established due to a telephony or network issue
User Unreachable	Candidate did not answer — phone was busy, went to voicemail, or timed out
Timed Out	Call exceeded the maximum allowed duration

Getting Started

Features

Settings

Creating an AI Caller Bot

Conversation Design

Output Variable Types

Voice & Audio Settings

Realtime Model

Turn Detection

Smooth Barge-in

Summarization

Conversation History

Call Recording

Data Access

Tool Calling

Call Types

How Calls Are Triggered

Form Integration

Call Logs & Monitoring

Log Filters

Call Detail

Call Statuses

​Creating an AI Caller Bot

​Conversation Design

​Output Variable Types

​Voice & Audio Settings

​Realtime Model

​Turn Detection

​Smooth Barge-in

​Summarization

​Conversation History

​Call Recording

​Data Access

​Tool Calling

​Call Types

​How Calls Are Triggered

​Form Integration

​Call Logs & Monitoring

​Log Filters

​Call Detail

​Call Statuses

Creating an AI Caller Bot

Conversation Design

Output Variable Types

Voice & Audio Settings

Realtime Model

Turn Detection

Smooth Barge-in

Summarization

Conversation History

Call Recording

Data Access

Tool Calling

Call Types

How Calls Are Triggered

Form Integration

Call Logs & Monitoring

Log Filters

Call Detail

Call Statuses