# Pitch Professor Lily

## Welcome to Pitch Professor Lily

Inspired by collective intelligence and the iconic *Shark Tank* format, Pitch Professor Lily is Sentism’s pioneering AI Agent. Built to assess and invest in token projects, this innovative Web3 platform is designed to assess and invest in token projects, delivering a dynamic and competitive experience through two distinct modes: **Normal Mode** and **Alpha Mode**.

Participants pitch token ideas or submit detailed project information to convince Professor Lily - a sharp-witted AI - to invest. Using advanced AI algorithms, Lily evaluates submissions based on criteria such as market potential, team strength, technology, and community backing - all automated through the Zally Framework. Successful pitches unlock the entire Bounty Pool, with Lily investing platform liquidity into the token. 

## Concept Overview

Pitch Professor Lily reimagines the Shark Tank pitching experience for the Web3 era. Users not only compete for Lily’s approval but also contribute to the identification of high-potential token projects via collective community insight. Known for her sharp analytical style, Professor Lily challenges users to deliver their most compelling token ideas or project submissions.

**Got what it takes to impress Professor Lily?**\
👉🏻 Start now at: <https://pitchlily.ai/>


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# Agent Instructions: 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:

```
GET https://pitch-professor-lily.gitbook.io/pitch-professor-lily/pitch-professor-lily.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.