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Andrea Muttoni - How AI Agents Are Changing the Internet
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Andrea Muttoni - How AI Agents Are Changing the Internet

Secret3 Secret3 May 27, 2025 2 min read
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Andrea Muttoni - How AI Agents Are Changing the Internet
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1. Transitioning from Clicks to Agents

Andrea emphasized that the evolution of the internet from human-centric clicks to AI agents is significant. He pointed out that while initial internet interfaces were designed for human interaction through clicks, we are now at a juncture where AI agents are starting to navigate the web. This shift means we have to reconsider how we design websites and online experiences, focusing less on human-centric usability and more on agent-friendly interfaces that can process information seamlessly.

2. Agent Experience (AX) is Crucial

Andrea proposed the concept of Agent Experience (AX), which he believes is critical as we move forward. Unlike User Experience (UX), AX should prioritize the agent's ability to access information quickly and efficiently. He stated that just as the web evolved to create better experiences for humans, a similar focus on agent accessibility and usability is necessary to help agents navigate and perform tasks effectively on the internet.

3. Challenges in Current User Interfaces

Andrea identified several design elements that pose challenges for AI agents, such as complicated user interfaces, hidden content, and misleading advertisements. For instance, he noted that inputs like calendar pickers can confuse both humans and agents. He stressed that websites should be designed to be more transparent and informative, ensuring that all necessary information is readily available and easy to interpret for agents navigating the site.

4. KPIs Must Evolve for Agents

According to Andrea, traditional Key Performance Indicators (KPIs) for website performance need to evolve. As we delegate tasks to agents, the speed and efficiency of task completion should become a significant measure of success. This involves developing new metrics that assess how well agents can navigate and perform actions on a website, rather than solely focusing on human interaction metrics like page load times.

5. Simplicity Will Prevail Over Complexity

Andrea predicted a trend back towards simpler website designs as agents begin to dominate navigation. Citing that older websites are more agent-friendly, he suggested that overly complex, modern designs may hinder the effectiveness of AI agents. Instead, streamlined, informative designs that reduce complexity and enhance clarity will likely become the standard as we cater more towards agent experiences.

6. The Impact of Dynamic Adaptability

Andrea highlighted the dynamic nature of AI agents, which can adapt quickly to changes in the environment. He contrasted this with humans' tendency to resist change. He suggested that this adaptability could lead to new ways of interacting with websites, where agents can negotiate for and generate tailored interfaces based on their specific tasks and needs, enhancing performance and efficiency in ways humans may not consider.

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