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 cart
The AI agent scans your Amazon cart, checks item details, and confirms the total amount before moving to promo code search.
3. Searching for promo codes
Using search automation, the agent browses trusted coupon sites and Amazon deals, collecting all possible promo codes for your order.
4. Testing promo codes
The agent applies each promo code one by one, verifying eligibility and calculating savings in real time.
5. Applying the best deal
The agentic AI chooses the promo code with the biggest discount, updates your checkout total, and confirms the savings for you.
6. Reporting back
After finishing the task, agent writes back to user in chat window and confirms that the task is completed.
Be the first to try Sigma
We’re rolling out early access now. Join the waitlist and get notified as soon as your spot is ready.