How do I know if my team's use case is simple enough for a prompt or complex enough for an agent?

Run through a short checklist. First: will you do this again? A task you'll repeat next week or next month justifies encoding once and reusing. Second: where does the context live? If you need to pull from your CRM, analytics, or internal documents, an agent can gather that automatically instead of you copying and pasting. Third: who else does this? If teammates run the same type of task, an agent ensures consistent quality and structure regardless of who executes it. Fourth: how many items? Processing one is a prompt; processing dozens or hundreds is a batch job.

If you answer no to all four, a prompt is the right tool. Fast, flexible, no setup required. If you answer yes to even one, the agent's upfront investment starts paying off immediately. Two or more yes answers make it clear.

One nuance: complexity of the task itself isn't the deciding factor. A sophisticated analysis you'll only do once is still a prompting task. A simple categorization you need to run across 200 items is an agent job. The threshold is about leverage, not difficulty.

Consider also whether the task benefits from guardrails. Prompts let you write instructions however you want each time, which is flexible but inconsistent. Agents let you lock in the instructions, specify output structure, and attach knowledge bases that ground responses in your actual data. If quality control matters, if outputs feed into client deliverables or downstream workflows, the structure an agent provides becomes valuable beyond just efficiency.

Finally, think about iteration. If you're still figuring out what you want, prompting lets you experiment quickly. Once you've landed on an approach that works, converting it to an agent preserves that winning formula. Many teams start with prompts to explore, then graduate the proven patterns to agents for ongoing use.