PAL Maker

What it does

PAL Maker takes a plain-language description of the assistant you want and builds it through a conversation with Charlie, an AI builder. The output is a PAL: an interactive, face-to-face AI assistant with a customizable face, voice, personality, objectives, guardrails and a knowledge base. Input is mainly spoken or typed descriptions, plus optional video or a single photo to create a custom face and voice.

People use it to create assistants for things like customer support, interviews, recruiting, patient intake and sales outreach. Distinct features include Magic Canvas for showing visual cards during a call, Presentation Mode for walking through a slide deck, and the ability to join a Google Meet as a participant. A PAL can be shared as a hosted page, embedded with one script tag, or built into an app using Tavus APIs.

PAL Maker suits people who want to make a face-to-face AI assistant without writing code, and developers who want a managed real-time video pipeline. The site offers a Get Started sign-up with a Developer or PALs account type. Real-time video depends on a stable internet connection, and developer features such as API keys and integrations are documented on the developer platform rather than the no-code builder.

What it can do

• Build a PAL by describing it in plain language to the Charlie builder
• Customize personality, objectives, guardrails and system prompt
• Create custom faces from a short video or single photo, or choose stock faces
• Clone voices or choose from a voice library with multilingual support
• Show visual cards and presentation decks during live video conversations
• Join Google Meet as a participant and deploy via hosted page, script tag or API

Works with

• Google Meet
• Zoom
• LiveKit
• Pipecat
• ElevenLabs
• Cartesia
• Model Context Protocol (MCP) tools

Example workflows

Build a customer support PAL

Input: a one-sentence description such as 'a support assistant that resolves billing issues with empathy'. Steps: describe it to Charlie, review the generated personality and prompt, add a short video or photo for the face, and deploy as a hosted page or embedded widget. Output: a shareable video assistant that answers customer questions face to face.

Run a presented sales walkthrough

Input: a slide deck uploaded to the Knowledge Base. Steps: enable Presentation Mode, let the PAL walk the deck or jump to a slide when asked, and invite it to a Google Meet. Output: a PAL that presents the slides on screen and answers questions during the call.

Before you choose

• Real-time video and voice require a stable connection and a supported browser
• Developer features such as API keys, LLM choice and LiveKit or Pipecat integration are documented on the developer platform, not the no-code builder page
• Custom faces and voices depend on the quality of the video or image supplied

Listed under

• Coding
• MCP and agent tools
• AI companions
• AI video agents
• Avatars
• Customer support
• No-code
• Patient intake

Get started

Create an account to start building.

1. Sign up for an account at the Get Started link and choose the account type that fits your use
2. Describe your PAL to Charlie in a sentence and review the generated behavior
3. Add a short video or single photo to create a custom face and voice, then deploy via hosted page, script tag, or Google Meet

The Tavus pricing page shows an 'Included' feature list and a Get Started call to action. Plan amounts, usage meters and trial terms are not stated there. Check the pricing page directly.

We couldn’t find published prices for PAL Maker. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• PAL Maker: Build & Deploy a PAL, No Code | Tavus ↗www.tavus.io
• Plans and Pricing - Tavus ↗www.tavus.io
• Build Face-to-Face AI Video Agents | Tavus CVI ↗www.tavus.io

Company website

tavus.io: product, pricing and policy pages

Hacker News

Launch posts and discussion

YC directory mirror

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Social accounts

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Human review

Checked by a person

knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.