Agentic Capabilities: Planning, Tool Selection, and Iterative Execution

Eucera’s embedded agent is designed to make SaaS applications smart, personalized, and easy to use by transforming natural language input into actions, workflows, and interactive UI. This article explains how Eucera supports agentic capabilities across the lifecycle of intent → planning → execution → iteration.

1. Intent Determination and Tool Selection

The agent understands their intent, triggers the right workflows, and can also display interactive UI components (like forms, cards, or dashboards) within the conversation.

• Users can simply describe what they want in text or voice.
• The agent uses natural language understanding to parse the request, determine intent, and map it to the correct workflow.
• Actions and Schemas are defined in Agent Studio, allowing the agent to dynamically select and execute them.

2. Action Planning and Execution

• Eucera supports AI Actions, which are custom functions that the agent can trigger.
• Actions can be:
  • Execute-only (e.g., trigger a workflow, fetch data)
  • Interactive (execute + render results via Chatterblocks, such as forms, cards, or dashboards)
• The agent can:
  1. Collect required parameters from the user.
  2. Execute the action.
  3. Render results or UI components inline in the conversation.

3. Plan Generation

• By design, the agent can detect dependencies between different agentic experiences and tie them to the user’s intent.
• This allows the same high-level intent to drive different execution paths, depending on the user’s context.
• You can design an action that:
  • Calls other agentic functions in sequence, or
  • Uses a deterministic execution block to orchestrate a clear, ordered flow.
• This gives you flexibility: workflows can be both adaptive to user needs and deterministic when required.

4. Iterative Execution and Looping

• The agent can handle stepwise workflows where it waits for user input before proceeding.
• It supports chaining actions (e.g., query → refine → confirm → execute).
• Iteration is typically user-driven: the user edits data, the agent processes it, and the user confirms or cancels.

5. Exit Criteria and Loop Termination

• Actions can be configured to complete when conditions are met, such as:
  • User saves or cancels changes.
  • Required inputs are collected.
• The agent awaits user input before proceeding to the next step.
• Safety mechanisms are in place to prevent infinite loops by detecting repetitive cycles and enforcing termination safeguards.
• These mechanisms ensure that the agent does not continue indefinitely without resolution.

6. Summary Table

7. Conclusion

Eucera provides strong support for:

• Intent determination
• Tool/action selection
• Dependency-aware planning and deterministic flows
• Stepwise execution with interactive UI

In addition, the platform includes safety mechanisms to prevent infinite loops, ensuring reliable agent behavior.

For fully autonomous, multi-step execution with internal planning, you may extend logic inside your Action Handlers or integrate Eucera with external orchestration systems for advanced loop control.