With the power of ai browser automation and search automation, the agent analyzes flights, hotels, and activities, picking the best options tailored to your style.
You start by giving the agent a simple instruction: 💬 Check tasks in Jira marked "In Review". If everything is done, close them.
And then the magic starts:
1) The agent’s categorizer first analyzes the prompt to understand the intent: it's a Jira workflow task involving review and resolution. Then, it identifies the key subtasks.
2) Next, the agent’s planner breaks subtasks into actions: logging into Jira, navigating to the project, finding tickets and interpreting content, testing task, reviewing code and finally resolving task.
3) The executor agent then steps in, performing each of these actions in your browser — just like a human would, but faster.
What looks like a single sentence is actually an orchestrated sequence of decisions and actions. The agent reads it, understands it, and gets it done.
Agent actions step by step
1. Planning workflow
The agentic AI analyzes users prompt and breaks it into subtasks, then transforms every subtask into action.
2. Finding hotels
The AI agent scans platforms like Booking and Airbnb, applies filters for budget, location, and reviews, and picks the best stay options to match your style.
3. Booking flights
The agent searches flight routes to Paris, balances price with travel time, and selects the most convenient option ready for checkout.
4. Adding essentials
The AI agent checks the forecast, suggests must-have extras like metro passes, museum tickets, or an eSIM, and bundles them into your plan.
5. Planning itinerary
The agent collects top-rated attractions, crafts a day-by-day plan, and maps it out so you can explore Paris without the stress of planning.
6. Reporting back
After finishing the workflow automation task, agent writes back to user in chat window and confirms that the task is completed.
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