How to craft broad prompts

Sometimes, the best approach is to give DeepWriter a broad prompt and let its powerful agentic intelligence fill in the details. Fewer instructions mean fewer constraints, allowing DeepWriter to focus more of its processing power on generating comprehensive output.

Overly rigid rules can limit its creative problem-solving and may even lead to unexpected errors. A broader prompt works especially well for general research tasks. Let's see explore some example prompts:

Broad research report:

"Generate a comprehensive report on the future of renewable energy in urban planning."

Why it works: DeepWriter can surface key sub-topics and relevant data sources without being overly confined.

General topic overview:

"Create an introductory guide to quantum computing for a non-technical audience."

Why it works: DeepWriter will prioritize clarity and accessibility, while identifying the most important concepts to explain. This is ideal when you want broad coverage without specifying every sub-topic.

Important: After writing your initial prompt, be sure to run it through multiple iterations of Smart Loops. Answer as many follow-up questions as you can, and reprocess the prompt several times to deepen and refine the output. You can learn more about this process in the Prompt refinement with Smart Loops section.

Vague prompts can yield rich and diverse outputs—perfect for brainstorming or discovering angles you hadn’t considered. Let DeepWriter build a foundation first, then add complexity through guided iterations.