AG Digitalz field guide

Prompts work best when they act like operating instructions.

A prompt should tell AI the role, goal, context, constraints, examples, and output format. The stronger the operating instructions, the less random the result feels.

By AG DigitalzPublished Updated
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What it does

Prompts

Prompts are not magic words. AG Digitalz treats prompts like small process documents that help AI repeat a business task in the same style every time.

Stack to use

Recommended setup

  • Prompt template
  • Business context document
  • Examples of good and bad output
  • Output schema or checklist
  • Human review step
  • Test examples from real leads or content
Common mistakes

What to avoid

  • Asking vague questions.
  • No output format.
  • No examples.
  • No business context.
  • Using the same prompt for every workflow.

Implementation

Build the workflow step by step.

Connect the smallest useful flow first, make ownership clear, then measure it before expanding.

01

Step 1

Define the job the AI is doing.

02

Step 2

Add the business offer, audience, rules, and tone.

03

Step 3

Show one or two examples of the desired result.

04

Step 4

Specify the output format.

05

Step 5

Test it against real inputs.

06

Step 6

Save the prompt as a reusable template.

07

Step 7

Review and improve it after bad outputs.

Primary sources

Official documentation behind this guide.

Use these sources to verify capabilities, limits, and setup details before putting a workflow into production.

Official source

OpenAI prompt engineering

Reference documentation used for this AG Digitalz field guide.

Open source
Official source

OpenAI Academy

Reference documentation used for this AG Digitalz field guide.

Open source