Task Decomposition
Breaking a complex goal into smaller, manageable steps that can each be handled reliably — by an AI agent, a human, or both. "Write a market analysis" is hard to do in one shot. Break it into "list the top 5 competitors → summarize each → compare pricing → identify gaps → write conclusion" and each piece becomes much more tractable. Good task decomposition is one of the most important skills in building reliable AI workflows.
In practice
You give Claude the goal: "Build me a competitor analysis for our Q4 board deck." If Claude just starts writing, the output is generic. If you decompose first — list competitors → summarize each → compare pricing → identify gaps → structure for the board — each step is cleaner and the final output is far stronger. Breaking complex goals into steps is what makes agents reliable.
Related concepts