How to write clear, effective prompts in Qolaba — including structure, best practices, and voice input.
A well-structured prompt typically includes four elements:
Objective
What you want the AI to do
Context
Background, audience, or purpose
Constraints
Tone, length, format, or limitations
Output format
How the response should be structured
Example:
Instead of:
Write a blog post.Use:
Write a 600-word blog post about AI in retail.
Target audience: startup founders.
Tone: professional but conversational.
Include 3 subheadings and a short conclusion.The second prompt gives the model everything it needs to produce a usable first draft — reducing back-and-forth and credit usage.
Be specific — Vague instructions produce vague outputs. Define exactly what you need.
Provide context — Mention the audience, purpose, background, or constraints relevant to the task.
Define the output format — Tell the model how to structure the response: bullet points, table, JSON, numbered list, paragraph, etc.
Iterate rather than overload — Start with a focused prompt and refine with follow-ups. Trying to cover everything in one prompt often produces unfocused responses.
One objective per chat — Start a new chat when switching to a completely different task. Mixing objectives in one thread affects context quality and output consistency.
For quick or natural language input, use the Mic icon in the prompt input area. Click it and speak your prompt directly — Qolaba transcribes your speech into text, which you can review and edit before sending.
This is useful when:
You want to describe a task naturally without typing out a structured prompt
You are working quickly and want to capture an idea before refining it
Typing a long, detailed prompt feels slower than speaking it
Last updated