> For the complete documentation index, see [llms.txt](https://hero-5.gitbook.io/hero-paper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hero-5.gitbook.io/hero-paper/the-hero-ecosystem/hero-ai-search/application-examples.md).

# Application Examples

Here Are the Use Cases for Hero.io

<figure><img src="https://1636288239-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fnf91pfYMOBM9VtRZv6W6%2Fuploads%2FQoWdacnUG5y3vLC8qSLQ%2F6.jpg?alt=media&amp;token=0a4aa0c5-315f-41fd-a659-a8d2c6cacf44" alt=""><figcaption><p><em>From analysis to action, Hero.io has you covered.</em></p></figcaption></figure>

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1. Layer One - Core Integration:&#x20;
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**User Request:**&#x20;

> *What do people think about X coin today?*

**Process:**

* The AI begins by aggregating current data from social media, news platforms, and forums.
* Sentiment Analysis Experts use sophisticated algorithms to gauge public opinion and mood.
* Data is then filtered and processed to provide a sentiment score, factoring in the volume and context of mentions.

**Output:**

> A comprehensive sentiment report is generated, showcasing the overall market sentiment towards X coin, including key themes from discussions and potential impact on market behavior.

{% embed url="<https://twitter.com/HeroAisearch/status/1806950730089013679>" %}

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2\. Layer Two - Insight Engine
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**User Request:**&#x20;

> *Influencer X is suggesting I should buy some Y coin. How often are they right?*

**Process:**

* The AI first compiles past recommendations made by Influencer X (checks social medias, YouTube, etc.).&#x20;
* Performance Analytics Specialists cross-reference these recommendations with historical market data.&#x20;
* A credibility score is calculated based on the accuracy of past predictions and outcomes.

**Output:**

> *An Influencer Credibility Profile is created, summarizing the accuracy of Influencer X's past recommendations on Solana and other coins, along with a reliability rating.*

{% embed url="<https://twitter.com/HeroAisearch/status/1808856455136571523>" %}

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3\. Layer Three - Dynamic Execution
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**User Request:**&#x20;

> *When BTC hits 90k, sell one, buy ETH, find the best Yield Farm and stake it.*

**Process:**

* The AI monitors real-time BTC prices and sets a trigger for the 90k threshold.&#x20;
* Upon hitting the target, Crypto Trading Specialists execute the sale of BTC and the purchase of ETH automatically.&#x20;
* Yield Farming Analysts then assess current yield farming pools, considering factors such as returns, risk, and past performance, check the highest yield farm, and stakes ETH.

**Output:**

> * *A transaction confirmation is sent for the sale of BTC and the purchase of ETH.*
> * *The user is provided with a curated list of the best yield farming options for their newly acquired ETH, and a direct action to stake in the recommended pool.*

{% embed url="<https://cdn.hero.io/assets/videos/intro/tab-3.mp4>" %}

***

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[**Experience Premium for 1 Month – Absolutely Free!**](https://hero.tf/?utm_source=heropaper\&utm_medium=link\&utm_campaign=lead_gen\&utm_content=application_examples)
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