From Idea to AI Work Template

The idea is there: "We could do this with AI." What's missing is the path from that insight to a template that actually works in everyday life – and that the team really uses.

This path is shorter than many think. But it needs structure. And it doesn't begin with the prompt – it begins with the task.

Step 1: Identify the task

Not every task is suitable for AI. Suitable are tasks with three properties:

• They are recurring.

• They follow a clear pattern.

• The result can be reviewed by a human.

Typical examples: email drafts to standard inquiries, document summaries, pre-structuring of reports, creation of checklists, phrasing assistance for recurring texts.

Step 2: Describe the task

Before the prompt is written, the task must be on paper. That means specifically:

• What exactly is the goal?

• Which information is needed?

• For whom is the result intended?

• Which quality is expected?

• What must the AI not do?

Answering these questions is the most important step. The prompt afterwards is just the translation into a machine-readable form.

Step 3: Develop the prompt

The prompt contains five elements: role, task, context, format and review rule. An example for a meeting-notes template:

• Role: "You are a structured note-taker."

• Task: "Create a structured meeting summary from the following bullet points."

• Context: "Audience is the project team. The summary doesn't replace the official minutes."

• Format: "Maximum half a page. Sections: Discussed, Decisions, Next Steps, Open Items."

• Review rule: "Mark all points where the original was unclearly worded."

Step 4: Test and adjust

A prompt rarely works perfectly on the first try. That's normal and not a sign you're doing it wrong. The method: run three to five realistic cases, evaluate the results, adjust the prompt, test again. After two or three iterations, the template is usually stable.

Step 5: Document and share

The finished template is documented with the purpose: Which data may be entered, which not? Which quality criteria apply? Which review rules exist? This way, other team members can understand, adapt and safely use the template.

Three concrete examples

Example 1: Research template.A team regularly researches new specialist topics. The template defines: research the topic X. Provide a short summary, three core statements and two critical comments. State sources. Mark speculative statements.

Example 2: Email draft.A team answers recurring inquiries. The template contains: role (customer-oriented case worker), context (type of inquiry, known facts), task (draft of a friendly, factual reply), format (three paragraphs, max 200 words), review rule (are all facts correctly transferred?).

Example 3: Project report.A team creates monthly project reports. The template structures: summary of developments, milestones reached, open items, risks, next steps. The AI pre-populates fields from existing notes; the human reviews and adds.

What this means in practice

The path from idea to template isn't a secret. It's a method any team can apply – even without technical background. Anyone using it systematically builds a library of work templates that gradually relieves daily work.

Mini checklist

• Is the task recurring and does it follow a clear pattern?

• Is the task described (goal, context, quality, limits)?

• Does the prompt contain role, task, context, format and review rule?

• Was the prompt tested with three to five real cases?

• Is the template documented and accessible to the team?

Read more:More on developing professional prompt systems on the pagePrompt Systems and Templates.

If you'd like to learn which tasks in your team are suitable for AI work templates – let's identify concrete use cases and develop first templates in an initial conversation.

Frequently asked questions

How do I create an AI work template for my team?In five steps: identify the task, describe the task (goal, context, quality), develop the prompt with role, task, format and review rule, test with real cases and document as a team template.

Which tasks are suitable for AI work templates?Recurring tasks with a clear pattern where the result can be reviewed by a human. Classics: email drafts, document summaries, meeting notes, project reports, research outputs.

How often must a prompt be adjusted?Usually two or three iterations with three to five real test cases each. After that, the template is mostly stable. Adjustments come when tasks or audiences change.

How do I share AI templates in the team?Through a simple shared document – a wiki entry, a SharePoint template or a shared text document. What matters is documenting the purpose, allowed data and review rules.

• OpenAI, Prompt Engineering Best Practices,

• Anthropic, Prompt Templates and Best Practices,

• Microsoft Learn, Microsoft 365 Copilot Prompt Gallery,

• Google for Developers, Prompt design strategies,

• Stanford HAI, Practical Prompting Guide,