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Agentic AI
Planning & Control Flow
Passive Goal Creator
Analyse the user's articulated prompts and accompanying context to derive a precise, actionable goal before any planning or tool use begins.
Intent & Description
🎯 Intent
Analyse the user’s articulated prompts and accompanying context to derive a precise, actionable goal before any planning or tool use begins.
📋 Context
A team runs an agent behind a dialogue interface where users type short, conversational prompts that are often under-specified relative to what the agent must do. Relevant context lives in memory but does not arrive automatically with the prompt.
💡 Solution
- A dedicated component receives the user’s prompt via the dialogue interface. - It retrieves related context from memory: recent tasks, conversation history, positive/negative examples, and stored preferences. - It produces a refined, actionable goal that is handed to the planner. - In multi-agent setups, the same component can receive goals via API from a coordinator instead of directly from a user.
Real-world Use Case
- Users interact through free-form dialogue and prompts are often under-specified.
- Goal context lives in memory or recent history that the planner does not naturally see.
- A single early step can replace many downstream clarifications.
Source
Advantages
- Familiar dialogue surface for users.
- Downstream components plan against an explicit goal rather than a raw prompt.
- Pushes lightweight clarification work to a single early component.
Disadvantages
- Becomes a single point of misinterpretation if the goal extraction is wrong.
- Reasoning uncertainty when the prompt is too ambiguous to refine reliably.