The primary obstacle for tools like OpenAI's Atlas isn't technical capability but the user's workload. The time, effort, and security risk required to verify an AI agent's autonomous actions often exceed the time it would take for a human to perform the task themselves, limiting practical use cases.

The Browser Company believes the biggest AI opportunity isn't just automating tasks but leveraging the "emotional intelligence" of models. Users are already using AI for advice and subjective reasoning. Future value will come from products that help with qualitative, nuanced decisions, moving up Maslow's hierarchy of needs.

People struggle with AI prompts because the model lacks background on their goals and progress. The solution is 'Context Engineering': creating an environment where the AI continuously accumulates user-specific information, materials, and intent, reducing the need for constant prompt tweaking.

As users delegate purchasing and research to AI agents, brands will lose control over the buyer's journey. Websites must be optimized for agent-to-agent communication, not just human interaction, as AI assistants will find, compare, and even purchase products autonomously.

To appeal to the "layperson" rather than tech early adopters, Comet's designers made the core browser experience familiar, like Google Chrome. This reduces cognitive load, allowing users to focus their limited learning bandwidth on the novel AI features, even if it disappoints power users expecting a radical redesign.

The Browser Company's vision shifted from optimizing tab management to seeing the browser as the ideal "personal intelligence layer." The browser itself is just the enabling technology; the real value comes from using its unique access to all user context (apps, queries, history) to power a miraculous AI assistant.

A major hurdle in AI adoption is not the technology's capability but the user's inability to prompt effectively. When presented with a natural language interface, many users don't know how to ask for what they want, leading to poor results and abandonment, highlighting the need for prompt guidance.

The best agentic UX isn't a generic chat overlay. Instead, identify where users struggle with complex inputs like formulas or code. Replace these friction points with a native, natural language interface that directly integrates the AI into the core product workflow, making it feel seamless and powerful.

Open-ended prompts overwhelm new users who don't know what's possible. A better approach is to productize AI into specific features. Use familiar UI like sliders and dropdowns to gather user intent, which then constructs a complex prompt behind the scenes, making powerful AI accessible without requiring prompt engineering skills.