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Create an account, build an agent, add knowledge, test it, and deploy. Five steps.
Project admin? Studio Assistant (admin-only) is the fastest way to scaffold an agent — describe what you want and it generates flows, topics, entities, and settings on a branch you can review. The manual steps below still work for any role.

Prerequisites

  • A use case in mind (e.g., customer support, reservations, FAQ)
1

Create your account (~1 min)

Go to the sign-up page and create your PolyAI account.
  1. Click “Sign up with Google”
  2. Select your Google account or enter your credentials
  3. Click “Continue” to authorize PolyAI
Google SSO sign-up screen

Sign in with Google SSO

Once signed in, you’ll land on the Agent Studio home page.
2

Create your agent (~2 min)

From the home page, click + Agent to start the agent creation wizard. You can create a blank agent or import an existing configuration.Configure the basics:
  • Agent name, internal identifier for your project
  • Response language, primary language for responses (see multilingual support for additional languages)
  • Voice, select from available text-to-speech (TTS) voices
  • Welcome greeting, first message users receive (can be customized later in agent settings)
Click Next to enter Agent Studio.
Agent creation wizard with name, language, voice, and greeting fields

Agent creation wizard

You can also duplicate an existing agent by clicking the three-dot menu next to any agent on the home page.
3

Add knowledge (~5 min)

Navigate to Knowledge > FAQs in the sidebar.Click Add topic and provide:
  • Topic name, what this topic covers (e.g., “Store hours”)
  • Sample questions, up to 20 ways users might ask (e.g., “When are you open?”)
  • Answer, the response your agent should give
Click Save to create the topic.
Adding a knowledge base topic in Agent Studio

Add a knowledge base topic with sample questions and an answer

Changes are saved as Drafts. Publish to Sandbox to test them. Learn more about environments and versions.Optional: Add more topics to expand your agent’s capabilities. You can also:
  • Upload PDFs or URLs to auto-generate topics
  • Connect external knowledge sources like Zendesk or Google Sheets using the Connected tab in Knowledge
  • Add actions to trigger handoffs, SMS, or other behaviors
See the full FAQs guide for details on how RAG (retrieval-augmented generation) powers topic matching.
4

Test your agent (~2 min)

The fastest way to test, uses your device’s microphone directly.
  1. Click the phone icon in the top-right corner
  2. Select Sandbox from the environment dropdown
  3. Begin speaking to your agent
In-browser call test panel

Call your agent directly from the browser

Testing tips:
  • Use specific keywords to trigger your agent’s topics
  • Test with different accents and speaking styles
  • For multilingual agents, switch languages mid-conversation to test detection
  • Review conversations in the Conversations dashboard after testing
5

Deploy to production (~1 min)

Promote your agent through the deployment pipeline:
  1. Go to Deployments in the sidebar
  2. Click Promote to Pre-release for user acceptance testing (if available in your project)
  3. Click Promote to Live to make your agent production-ready
Each environment can have its own phone number and configuration.
Deployment pipeline showing Sandbox to Live promotion

Promote through environments to go live

Some projects use a simplified pipeline that promotes directly from Sandbox to Live, skipping Pre-release. You can roll back to any previous version if issues arise, see the deployment pipeline guide for details.

Next steps

Add advanced features

Connect APIs and add dynamic behavior with Python functions

Build conversation flows

Multi-step workflows for bookings, forms, and structured tasks

Configure voice settings

TTS, voice selection, and audio settings

Monitor performance

Dashboards, conversation review, and metrics

How your agent works

Each conversation turn follows a pipeline: ASR (speech to text) → LLM (knowledge retrieval and response generation) → TTS (text to speech). See architecture for a detailed breakdown, or processing order for the step-by-step flow.
Last modified on July 17, 2026