fix(docs): shortening content in Whats an Agent guide (#1105)

pages/guides/agents/getting-started/whats-an-agent.mdx

@@ -24,11 +24,7 @@ The **uAgents Framework** is a lightweight library designed to facilitate the de
   alt="agents-interacting"
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-Agents, built with the uAgents Framework, are autonomous software programs capable of interacting with others in a decentralized environment. While decentralization is supported, it remains optional based on user needs.
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-Intelligent Agents can revolutionize complex systems. For instance, in supply chain management, Agents can enhance demand forecasting, inventory control, logistics optimization, supplier monitoring, quality control, and risk mitigation. This leads to improved efficiency, cost reduction, accuracy, and real-time visibility.
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-These Agents are the foundation for developers to leverage the uAgents Framework, enabling the creation of intelligent, self-managed systems across various domains.
+Agents built with the uAgents Framework are autonomous programs designed for decentralized interactions, with decentralization being optional. They can transform systems like supply chains by enhancing forecasting, logistics, supplier monitoring, and risk management, driving efficiency and accuracy. Developers can leverage these Agents to build intelligent, self-managed systems across various domains.
 
 <ImageByTheme
   darkSrc={DarkDecentralisedNetwork}
@@ -38,13 +34,11 @@ These Agents are the foundation for developers to leverage the uAgents Framework
 
 ## Why Agents
 
-With the rise of Large Language Models (LLMs) and AI-driven products, autonomous Agents bridge the gap between these tools, transforming how we solve problems, make decisions, and collaborate.
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-For instance, within the financial sector, Agents can automate trading, risk assessment, fraud detection, and customer support operations. By leveraging predictive analytics, they can analyze market trends, assess risks for loans and investments, and potentially offer tailored financial advice. Agents can also enhance security by detecting fraud through continuous transaction monitoring. This simplifies processes, provides valuable insights, and supports better decision-making for both financial institutions and investors.
+With the rise of Large Language Models (LLMs) and AI-driven tools, autonomous Agents are revolutionizing problem-solving, decision-making, and collaboration.
 
-Fetch.ai's uAgents Framework empowers developers to create Agents that can join a decentralized network to tackle real-world challenges. Developers can customize Agents behavior to perform precise tasks tailored to specific use cases.
+For instance, Agents operating in the financial sector are able to automate trading, risk assessment, fraud detection, and customer support. By leveraging predictive analytics, they analyze market trends, assess risks, and offer tailored advice. Continuous transaction monitoring enhances security and simplifies processes, providing valuable insights for better decision-making.
 
-The concept of Agents refers to autonomous, decentralized systems that overcome conventional limitations. Agents provide a gateway to a future where intelligent Agents, empowered by the Fetch network and the [AI Engine ↗️](/concepts/ai-engine/ai-engine-intro), can communicate, negotiate and collaborate to streamline complex tasks, solve complex problems and improve decision-making processes in various fields.
+Fetch.ai's uAgents Framework enables developers to create customizable Agents for decentralized networks, tailored to specific tasks and real-world challenges. These autonomous systems, powered by the Fetch network and the [AI Engine ↗️](/concepts/ai-engine/ai-engine-intro), collaborate to streamline tasks, solve complex problems, and improve decision-making across industries.
 
 ### Get started with Agents development!