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. Checking the bank account
The AI agent connects through your secure session, scans statements and emails, and gathers this month’s transactions without sending any banking data outside your device.
3. Looking through emails
Through local search automation and sorting rules, the agent looks for emails by date, merchant, and recurring charges while keeping message content fully confidential.
4. Categorizing spendings
The AI budget tool assigns tags like food, travel, or subscriptions, highlights unusual expenses, and sums everything up with clarity.
5. Tidying everything up
The ai agent compiles your spending into neat tables and charts, delivering a polished financial report you can export or share.
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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