> For the complete documentation index, see [llms.txt](https://salesa.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://salesa.gitbook.io/docs/introduction.md).
# Introduction
This's the first AI-native tool built for sales.
### Overview
Salesa is an AI tool that keeps your sales pipeline up to date automatically.\
It connects with Gmail and Google Sheets, reads deal-related emails, and updates your spreadsheet without you needing to edit it yourself.
Instead of typing updates or fixing columns, Salesa keeps everything organized quietly in the background.\
Each time someone replies about pricing, scheduling, or next steps, the deal information in your Sheet changes immediately.
The main idea is simple. It removes repetitive work so your team can spend more time talking to customers and closing deals.
Salesa is not a new CRM or a complex platform.\
It is a lightweight assistant that works inside the tools you already use.\
If your team manages sales through Gmail and Google Sheets, Salesa helps keep everything synced and accurate without setup or hassle.
> **In short:**\
> Salesa helps teams sell more efficiently by keeping every deal updated and consistent using the tools they already know.
### How it works
Once Gmail and Google Sheets are connected, Salesa starts scanning new and recent emails.\
It looks for messages that show deal activity such as a request for pricing, interest, or a meeting confirmation.\
When it finds one, it updates or creates a row in your Sheet with the correct details like deal name, owner, stage, and last contact date.
Salesa keeps syncing in real time as new emails arrive.\
Every team member sees the same up-to-date data without doing anything manually.\
Your pipeline stays clean and accurate without effort.
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:
```
GET https://salesa.gitbook.io/docs/introduction.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
