Prerequisites

To complete this Quick Guide, you’ll need:

  1. The Pieces Desktop App installed and actively running on your device.

  2. Long-Term Memory enabled in the Pieces Desktop App.

To enable the LTM-2.7 Engine from PiecesOS, click the PiecesOS icon to open the Quick Menu on Windows or macOS, then select Enable Long-Term Memory Engine.

In This Quick Guide

In this Quick Guide, you’ll use Pieces Long-Term Memory to save context from a website, then prompt Conversational Search to tell you what it saw.

Here’s a quick read on some of the nano-models we develop that layer into the data retrieval pipeline for LTM-2.7 and the coming *LTM-2.7*

This demonstrates how Pieces can capture information from any application and make it available to you in Conversational Search.

Capture Context

With LTM enabled, Pieces captures workflow context from every actively used window, including the browser you’re using to read this Quick Guide.

Click this link to generate a message Pieces can capture in a new tab. Read the message and give Pieces a second or two to capture the context from your browser.

Prompt the Copilot

Now that Pieces has captured the message, you can prompt Conversational Search through the Pieces Desktop App to retrieve the secret message.

Open the Pieces Desktop App and start a new chat or use an existing chat. Use the following prompt with Conversational Search: 
```plaintext
What is my secret message?
```