Efficiency-Agent

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mriusero commited on Jul 3

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doc: readme

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@@ -25,7 +25,7 @@ This project is part of the [Agents-MCP-Hackathon](https://huggingface.co/Agents
 [See video overview](https://drive.google.com/file/d/1qa7wDxZWQlmktBauNlP8QxYFYG6he_3D/view?usp=share_link)
-> #### Demo Usage
 >
 > You can interact with the chatbot to gain insights and assistance on production-related queries.
 > The chatbot will respond based on the current production data.
@@ -42,6 +42,7 @@ This project is part of the [Agents-MCP-Hackathon](https://huggingface.co/Agents
 ### Purposes
 I took inspiration from my experience in the manufacturing industry, where understanding operational metrics is crucial for efficiency. More specifically, gaining precise insights from over 30 real-time telemetry metrics is a game changer, allowing teams to focus on critical areas for improvement and optimization.
 Also, since the know-how is embedded in the agent, the risk of knowledge loss is minimized ensuring that valuable insights are retained and can be shared across the organization.  Of course, this type of agent can be quickly adapted to various industry and service use cases such as manufacturing, cloud services, logistics, healthcare, and more.
 > [!IMPORTANT]

 [See video overview](https://drive.google.com/file/d/1qa7wDxZWQlmktBauNlP8QxYFYG6he_3D/view?usp=share_link)
+> [!NOTE]
 >
 > You can interact with the chatbot to gain insights and assistance on production-related queries.
 > The chatbot will respond based on the current production data.
 ### Purposes
 I took inspiration from my experience in the manufacturing industry, where understanding operational metrics is crucial for efficiency. More specifically, gaining precise insights from over 30 real-time telemetry metrics is a game changer, allowing teams to focus on critical areas for improvement and optimization.
 Also, since the know-how is embedded in the agent, the risk of knowledge loss is minimized ensuring that valuable insights are retained and can be shared across the organization.  Of course, this type of agent can be quickly adapted to various industry and service use cases such as manufacturing, cloud services, logistics, healthcare, and more.
 > [!IMPORTANT]