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Chert

Chert provides AI-powered video agents designed to conduct FaceTime calls, enabling automated support and interaction by processing visual context from the caller's camera.

Customer SupportProcesses visual information from the…Supports configuration of agent…FaceTime AI AgentsConfigurable Assistant Persona
Chert product interface screenshot
Listed on AIToolly

What Is Chert? Product Overview

What the product does and how it is positioned

Chert offers a platform for building AI agents that can see and interact through FaceTime. By leveraging camera context, these agents are designed to assist in scenarios where visual information is necessary for guidance.

The platform allows for the configuration of agent personas, including voice, avatar, and framing. Users can manage these agents through a control plane that supports the deployment of assistants to provisioned FaceTime lines.

What Can You Use Chert For?

Source-supported ways to use the product

Remote Support and Field Service

Agents guide callers through technical issues by viewing the environment or equipment through the caller's camera.

Telehealth and Visual Inspections

The platform facilitates intake processes or visual assessments by allowing agents to observe and respond to visual inputs in real-time.

How to Use Chert

The documented workflow, where available

  1. 1

    Configure Instructions

    Define the agent's job, specific instructions, underlying model, voice, and behavior before initiating a call.

  2. 2

    Select Persona

    Choose the appropriate avatar and visual framing to match the desired user experience.

  3. 3

    Deploy Line

    Publish the assistant and assign it to a provisioned FaceTime line to enable live interaction.

Visual Context Processing

Chert distinguishes its agents from traditional voice-only AI by incorporating visual processing capabilities. This allows the agent to act as a participant in a FaceTime call, observing what the caller shows to provide context-aware guidance.

  • Enables agents to identify objects or environments shown by the caller.
  • Reduces the need for callers to describe complex visual problems from memory.
  • Supports guided, step-by-step assistance based on real-time visual feedback.

What to Test Before Choosing Chert

Checks to run with your own material and workflow

  • Verify the agent's behavior, voice, and visual framing using the browser preview tool before publishing.
  • Confirm the status of FaceTime API availability and current access requirements for live deployment.

Chert Sources and Last Checked

What was checked and when

Last checked

Chert Frequently Asked Questions

Answers based on the source-checked product record

Is the FaceTime API generally available?

No, the FaceTime product is currently available through a controlled private preview while the company validates production media and line readiness.

Can I test an agent without placing a live FaceTime call?

Yes, the browser preview allows you to check the prompt, voice, microphone, interruption behavior, avatar, and cleanup processes before publishing.

Does the platform support inbound and outbound calls?

The control plane supports bounded inbound and outbound test workflows. Live execution is provisioned and explicitly authorized; accepting mode is not enabled by default.

What specific elements can I configure for an agent?

You can configure the assistant's instructions, the underlying realtime model, voice, avatar, framing, publishing state, and managed line assignment.

Does Chert offer services beyond FaceTime agents?

Yes, the company provides stable iMessage infrastructure for inbound and outbound messaging via API and webhooks.

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