Goal Definition and Persistent Objective Alignment for AI Agents

[nguyendkn]

This feature allows a user to define a primary Goal for an AI Agent before task execution begins. The Goal acts as a persistent objective that remains active throughout the full lifecycle of the agent’s work.

Core behavior

• The agent must treat the Goal as the highest-level objective that guides all reasoning, planning, and execution.
• Every major action, decision, and intermediate output should be evaluated against whether it supports progress toward the Goal.
• The agent should maintain awareness of the Goal across multi-step, long-running, or iterative workflows.

Expected outcomes

• Improves focus by ensuring the agent stays aligned with the intended result.
• Reduces task drift when the workflow becomes complex or spans multiple steps.
• Helps the agent prioritize relevant actions over less useful or unrelated ones.
• Increases consistency in decision-making by keeping the original objective visible and actionable.

Functional intent

The Goal is not just a static instruction. It should function as an active control mechanism that influences how the agent:

• interprets user requests,
• breaks down tasks,
• selects next actions,
• resolves ambiguity,
• and determines whether the final output successfully meets the intended objective.

Why this matters

Without a persistent Goal, agents may complete individual tasks correctly but still lose alignment with the broader user intent. This feature ensures the agent continuously works toward a defined outcome, rather than only responding to the most recent instruction in isolation.