# Interactive AI Web Assistant with Memory

> Build a hosted AI chatbot in Glow, pass recent chat history into its replies, and configure optional conversation memory.

Build a two-Step chat assistant with a hosted page and recent conversation history. Test it in Draft, then choose who can use the live link.

**Level 2: Routing & AI · about 10 minutes · 2 Steps**

**At a glance**

- **Result:** Provide a hosted chat page whose AI Agent can use earlier messages in the conversation.
- **You need:** A Glow workspace with available Step credits and Glow AI tokens. No external model account is needed for Glow-managed Gemini.
- **Usage:** Each message runs the automation and uses credits and AI tokens. Per-visitor rate limits are not a total spending cap.
- **What changes:** Chat tests execute connected Steps and any configured tools, even in Draft. Use nonsensitive sample messages.

[Chat Trigger](https://docs.getglow.ai/build/triggers/chat) → [AI Agent](https://docs.getglow.ai/build/ai-features/ai-agent)

The final Step's text answer is returned to the visitor. Do not connect the AI Agent back to the trigger.

![A Web Chat Trigger connected to an Interactive AI Agent on the Glow canvas.](https://docs.getglow.ai/images/docs/ai/interactive-ai-agent-canvas.webp)
*The two-Step assistant, shown Live. Keep your copy in Draft until the conversation tests pass.*

## Prerequisites

Create an automation in your Glow workspace and leave it in **Draft**. Use only messages approved for sharing with the model. Keep app tools off for the core example.

For a beginner walkthrough of these controls, follow [Your First AI Agent](https://docs.getglow.ai/getting-started/tutorials/first-ai-agent).

## [Building the Automation](https://docs.getglow.ai/getting-started/examples/ai-web-assistant#building-the-workflow)

### 1. The Trigger: Chat Trigger

Add **Chat Trigger** from **Tools → Start**. Configure these fields in the App drawer:

| Field                               | Setting                         | Purpose                                                                                              |
| ----------------------------------- | ------------------------------- | ---------------------------------------------------------------------------------------------------- |
| **Mode**                            | `Hosted Chat`                   | Provides a hosted chat page when Live.                                                               |
| **Authentication**                  | `Glow User Auth`                | Admits signed-in members of the owning workspace. Choose `None` only for a deliberately public chat. |
| **Chat title**                      | `AI Web Assistant`              | Heading on the hosted page.                                                                          |
| **Welcome message**                 | `Hi! How can I help you today?` | Display-only greeting.                                                                               |
| **Input placeholder**               | `Ask a question...`             | Hint in the message box.                                                                             |
| **Conversation memory (messages)**  | `20`                            | Earlier messages supplied in `historyText`.                                                          |
| **Messages per visitor per minute** | `20`                            | Limits the sending rate for each visitor.                                                            |

### 2. The AI Agent: Model, Goals, and Memory

Add **AI Agent** and connect the Chat Trigger's output to its input. Keep the default, **Gemini 4 Argon**, under **Brain (model)** and use **Text** for the answer format.

In the **Instructions** section, set **Primary goals** to:

```text
You are a helpful AI assistant. Answer clearly and concisely.
If you do not know an answer, say so rather than inventing details.

Current user message:
{{ 1.chatInput }}

Recent conversation history:
{{ 1.historyText }}
```

The examples assume the Chat Trigger is Step `1`. Use the actual number on your canvas, or select the values from **Workflow data**.

Recent history works without Agent Memory. To enable **Conversational Memory** as well:

- Open **Context** in the App drawer (or click **Memory** on the canvas card) and turn on **Conversational Memory**.
- Set **Conversation ID source** to **Use data from an earlier Step** and map `{{ 1.sessionId }}` into **Conversation ID** so each visitor session keeps a separate thread.
- Keep **Authentication** set to **Glow User Auth** when restricting chat access to signed-in workspace members.

## Testing the Assistant

### Test recent chat history

Select Chat Trigger and open its **Chat** tab. Send `Remember my favorite fruit: Blueberry.`, wait for the reply, then ask `What is my favorite fruit?`.

Check that the answer recalls Blueberry. The completed reply appears after execution; this check does not prove Agent Memory persistence because `historyText` also supplies the earlier message.

### Test optional Agent Memory separately

If you enabled Agent Memory, temporarily set **Conversation memory (messages)** on the trigger to `0`. Send a different fact and a follow-up question. Inspect both the memory status and the answer, then restore the history setting to `20`.

### Share the hosted page

You can finish the example in Draft. When ready for incoming messages, review **Authentication** and your usage budget, switch to **Live**, and copy the URL under **Hosted chat page** in the trigger's App drawer.

Open that link and repeat a controlled conversation. For **Glow User Auth**, check access with a workspace member. For **None**, anyone with the link can send messages that consume your workspace's credits and AI tokens.

**Verify it works**

- **Run:** Open the Chat tab on Chat Trigger, send Remember my favorite fruit: Blueberry, then ask What is my favorite fruit?
- **You should see:** The AI Agent reads historyText from the session and replies with Blueberry.

## What's Next?

- **[Equip App Tools](https://docs.getglow.ai/build/ai-features/ai-agent#equip-tools)**: Add only the actions the assistant needs, and review their permissions before exposing them to chat visitors.
- **[Gmail AI Triage & Inbox Labeling](https://docs.getglow.ai/getting-started/examples/gmail-ai-labeler)**: Classify email and route it to configured actions.