Planner Agent

A planner agent is a specialised AI agent designed to do one thing exceptionally well: ask the right questions and produce a comprehensive plan or requirements document. Unlike a general-purpose AI assistant, a planner agent does not write code, create content, or take actions — it only plans.

Why separate planning from execution

The insight behind planner agents is that planning and execution are fundamentally different skills that benefit from different approaches. When an AI tries to plan and execute simultaneously, it often rushes through planning to start doing things. A dedicated planner agent has no temptation to skip ahead because execution is not part of its role.

How planner agents work

A typical planner agent session follows this pattern:

• Goal capture: The agent asks what you want to achieve at a high level.
• Structured questioning: The agent works through a systematic series of questions covering scope, users, requirements, constraints, edge cases, and success criteria.
• Gap identification: Based on your answers, the agent identifies areas that need more detail and asks follow-up questions.
• Document generation: The agent compiles all gathered information into a structured document — typically a PRD, technical specification, or project plan.
• Review and refinement: The agent presents the document for your review and incorporates feedback.

What makes a good planner agent

• Domain knowledge: It understands the domain well enough to ask relevant questions you might not think of.
• Structured methodology: It follows a consistent framework rather than asking random questions.
• Patience: It resists the urge to make assumptions and instead asks for clarification.
• Completeness checking: It verifies that all essential aspects of the plan have been addressed before finalising.

Planner agents in practice

• Software development: A planner agent interviews the product owner and produces a detailed PRD that a coding agent or development team can execute against.
• Content strategy: A planner agent gathers requirements for a content project — audience, goals, channels, tone, topics — and produces a content brief.
• Event planning: A planner agent works through logistics, requirements, and contingencies to produce an event plan.

The planner-executor pattern

The most effective AI workflows often separate planning from execution entirely. The planner agent produces the specification. A human reviews and approves it. Then an executor agent (or human team) carries it out. This separation catches mistakes before they are expensive to fix.