A reusable master prompt for better AI results

If you need a simple framework to improve the quality of your prompts, try this:

Goal: What am I trying to achieve?

Context: What background information does AI need?

Constraints: What budget, time limits, requirements or restrictions apply to this request? Audience: What is your target audience? Who will read, use or benefit from the output? Desired output: What do you need? A plan, an email, a report, a table, an explanation or a recommendation?

Quality requirements: The requested response should be concise, practical, evidence-based, and accurate. If you want it written in a particular style, provide an example.

Tell AI that before it produces an answer to identify important missing information, state assumptions and ask only essential clarifying questions. When AI produces the answer it needs to: clearly distinguish established facts, assumptions and recommendations, highlight uncertainties and identify anything that needs independent verification.

This framework is most useful when the task is complex, important or dependent on specific circumstances. You won't need every element for every task, a simple request may only require one sentence.

The next step is to move from individual prompts to AI workflows This is where businesses can unlock greater value.

Instead of asking, “What can AI do?”, ask

“What do we repeatedly spend time doing that AI could help us do faster, more consistently or more effectively?”

Identify tasks that are repetitive, time-consuming, prone to avoidable errors or dependent on information being transferred between people and systems. For example, your business might develop the following AI-assisted customer enquiry workflow:

A customer submits an enquiry.

AI extracts the key requirements and organises the information.

AI drafts a response based on approved business information.

A member of staff checks the response and confirms its accuracy. THIS STEP IS CRITICAL

The response is sent to the customer.

Follow-up actions are recorded and reminders are created.

The team monitors the process and identifies opportunities for improvement.

The same principle applies to other areas of business.

Recruitment: Analyse a job advert, compare it with a candidate’s verified experience, identify relevant skills and prepare structured interview questions.

Administration: Convert meeting notes into action lists, assign responsibilities and prepare follow-up communications.

Reporting: Organise information, identify trends, draft summaries and flag findings that require further investigation.

Training: Explain unfamiliar concepts, generate practice questions and identify areas where further learning is needed.

For optimal benefit, each workflow should be designed around the business needs, with appropriate human oversight, data protection and clear accountability. Don’t try to automate everything; create a repeatable process that delivers worthwhile improvement.