The rise of AI browsers introduces 'agents' that automate tasks like research and form submissions. To capture leads from these agents, websites must feature simple, easily parsable forms and navigation, creating a new dimension of user experience focused on machine readability.

AI-powered browsers like Perplexity can deconstruct a company's marketing strategy. They analyze the target website, browse it as an agent, and pull in third-party data to reveal advertising funnels, messaging, conversion architecture, and even the specific tools in their tech stack, providing a complete playbook.

Writing detailed documentation is a task most employees avoid. By recording a quick video walkthrough of a process (e.g., how to pull a report), that video can be shared, referenced, and then automatically transcribed by AI into a structured SOP, eliminating the friction of manual writing.

The next frontier for AI in product is automating time-consuming but cognitively simple tasks. An AI agent can connect CRM data, customer feedback, and product specs to instantly generate a qualified list of beta testers, compressing a multi-week process into days.

Using plain-English rule files in tools like Cursor, data teams can create reusable AI agents that automate the entire A/B test write-up process. The agent can fetch data from an experimentation platform, pull context from Notion, analyze results, and generate a standardized report automatically.

AI-powered browsers can instantly open tabs for all your competitors and then analyze their sites based on your prompts. Ask them to compare pricing pages, identify email collection methods, or summarize go-to-market strategies to quickly gather competitive intelligence.

Instead of describing UI changes with text alone, Google's AI Studio allows users to annotate a screenshot—drawing boxes and adding comments—to create a powerful multimodal prompt. The AI understands the combined visual and textual context to execute precise changes.

Overcome the hurdle of documenting processes by recording a screen-share video of yourself performing a task while talking through the steps. AI tools can then automatically convert the recording into a written playbook, eliminating the need to set aside dedicated writing time.

A practical AI workflow for product teams is to screenshot their current application and prompt an AI to clone it with modifications. This allows for rapid visualization of new features and UI changes, creating an efficient feedback loop for product development.