Playground Preview

Test the shape of an Embage agent before you deploy one.

The public playground will show how Embage handles real business conversations: support answers, lead capture, feedback, ticket routing, datastore writes, and workflow handoffs.

Request Playground Access

Demo conversation

Website support agent

Can Embage collect a lead and create a ticket from the same chat?
Yes. The main agent can classify intent, use a lead-capture sub-agent, write datastore details, create a ticket, and summarize the conversation for review.

Scenarios

Conversations the playground will demonstrate

Support question

Visitor asks

"Do you support secure tenant isolation?"

Agent responds

"Yes. Embage is designed around database-per-tenant isolation and permissioned access for datastore, ticket, workflow, and integration actions."

Lead capture

Visitor asks

"Can I use this for inbound demo requests?"

Agent responds

"Yes. An Embage agent can qualify the visitor, collect work email and company details, score intent, and push the lead into a datastore, ticket, or feedback store."

Feedback collection

Visitor asks

"I want users to leave detailed product feedback."

Agent responds

"Embage can ask follow-up questions, summarize feedback, store sentiment, and create structured records for product review."

Capabilities

What buyers should test

A useful demo should prove that an AI agent can do work, not only produce a friendly answer.

Answer from a trusted knowledge base

Collect leads, tickets, feedback, and reviews

Use sub-agents for specialized tool calls

Run post-conversation workflows

Embed voice or chat agents on a website

Review summaries, intent, gaps, and conversation quality

FAQ

Is the playground a live agent yet?

The live public playground is being prepared. This page explains the scenarios the playground will demonstrate and gives buyers a stable page for evaluating Embage agent behavior.

What will I be able to test?

The playground will focus on support answers, lead capture, feedback collection, datastore and ticket routing, and post-conversation workflow behavior.