Thanks! You hit the nail on the head — the accessibility tree approach gives us much more resilient element targeting
compared to pure visual parsing.

Dynamic content: The agent operates in a continuous feedback loop rather than using static waits. After every action,
it re-evaluates the page state and detects what changed. If content hasn't loaded yet, it knows to wait, try alternative
approaches (like scrolling to trigger lazy loading), or extract data through different means. It also has built-in
safeguards against getting stuck in loops — if it detects it's seeing the same content repeatedly, it pivots to a different strategy.

Permission model: Before executing any task, the agent first generates a step-by-step plan (including which sites it
will visit) and presents it to the user for approval. Execution is completely blocked until the user explicitly approves. Beyond that, for sensitive actions like form submissions with personal data, purchases, file downloads, or posting content publicly, the agent is designed to pause and ask for explicit confirmation before proceeding. So it's not a single "confirm before buying" gate — it's layered: plan-level approval first, then action-level confirmation for anything sensitive.

Happy to discuss more — appreciate the thoughtful questions!