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 agent analyzes users prompt and breaks it into subtasks, then transforms every subtask into action.
2. Applying filters
The agent transforms "a family TV" into filters — screen size, price range, delivery options, customer rating and applies them on Amazon.
3. Comparing options
From the filtered results, the agent evaluates models side by side, checking reviews, star ratings, and key features like picture quality (4K, HDR) and streaming platforms support.
4. Finding the best deal
Then the agent chooses from the shortlist the most reliable option that balances price, features, and reviews.
5. Placing the order
The agent adds the TV to the cart, confirms address and payment details, and completes the checkout.
6. Reporting back
After finishing the task, agent writes back to user in chat window and confirms that the task is completed.
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