A request to update a product roadmap is more than one decision. An agent must plan its work, carry out subtasks, and account for mistakes along the way. Task decomposition breaks a complex objective into smaller components that can be addressed separately. In chain-of-thought prompting, the model then generates a partial solution for each component before constructing a final answer. section 6.3.1 section 9.2.2
Turn a writing request into a workflow
For a blog article, specify the subtasks: brainstorm points, outline the structure, draft the introduction and body, write a conclusion, then edit for clarity and flow. This gives the model a sequence to follow rather than only an end goal. A lighter alternative is to ask it to proceed step by step without specifying the workflow. section 6.3.1
Decomposition does not make an agent’s plan reliable by itself. Long-horizon planning, unexpected errors, finite context, and malformed tool calls can derail later steps. For an established workflow, hardcoding parts of the flow can improve speed and reliability, but reduces adaptability. Increase scope gradually as confidence grows; use human approval, verification, rollback mechanisms, and audit logs where a mistaken action could be costly. section 9.2.2 section 9.3.1 section 9.5
