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AI Prompt Engineering · Lesson

Roles and Specialization

Designing agent personas.

Why Specialize Agents

A single generalist prompt juggling many concerns dilutes attention and conflates instructions. Decomposing a task into specialized agents — each with a narrow mandate, focused context, and tailored tools — sharpens behavior and isolates failure.

  • Narrow scope -> more reliable, more steerable.
  • Isolation -> a mistake in one role does not corrupt the others.

Specialization is divide-and-conquer applied to prompting.

Anatomy of a Persona

An effective agent persona is more than a name. It declares: a mandate (what it owns), boundaries (what it must not do), inputs/outputs (its contract), and success criteria. Vague personas ('you are a helpful expert') under-constrain behavior.

persona = {
  'role': 'Researcher',
  'mandate': 'Gather and cite primary sources for the question.',
  'forbidden': 'Do not draw final conclusions; do not write prose.',
  'output': 'JSON list of {claim, source_url, confidence}.'
}

All lessons in this course

  1. Roles and Specialization
  2. Orchestrator and Workers
  3. Inter-Agent Communication
  4. Debating and Voting Agents
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