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  "documentTitle": "Eximius Ventures Just an Agent Away An AI Thesis",
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  "notes": "The slide continues a discussion from the previous page about UX as a moat, then transitions into a taxonomy of AI agent types.",
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      "text": "Vertical agents tackle specialised, regulated fields like healthcare and law. Companies like Silna in health often succeed because they understand complex compliance",
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      "text": "Functional agents specialise in specific enterprise functions, such as customer support or sales. In this category, distribution effectiveness serves as a crucial differentiator, closely tied to the quality of the founding team. Development speed (for example, shipping velocity) represents another key competitive advantage. For instance, Decagon, focusing on customer support, releases feature updates weekly, attracting clients seeking to reduce call-center costs. While their product may not be uniquely innovative, their rapid improvement cycle and strong customer relationships ensure market sustainability.",
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      "text": "Horizontal agents—like AI-powered note-taking or CRM tools—have broad applicability across roles and industries. To survive in this crowded space, frictionless user experience and deep integration into existing workflows are paramount (think 10x better experience). Distribution deals also create an important competitive advantage, though dependence on distributors carries the risk of marginalisation if they launch equivalent native features, as seen in the competition between Otter and Google's Gemini-powered note-taking capabilities.",
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      "text": "design and engagement. Perplexity, a generative search platform, wins due to its clean interface and intuitive experience, encouraging repeat use. Cursor is another prominent example: although it also calls Anthropics' models under the hood, one of its core innovations lies in a simple yet powerful UX that lets engineers view code diffs and apply them with one click. That usability propelled Cursor to over $100 million in ARR and a $2.6 billion valuation. Github Copilot's success also owes much to seamless UX—users continue coding as usual while the tool unobtrusively suggests improvements. These patterns reveal an important truth: evaluating AI-native applications follows many of the same principles we've long applied to traditional SaaS. The fundamentals of building defensible businesses remain largely unchanged.",
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      "text": "Section 6: Strategic Moats Across Application Domains",
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