Prompt Engineering
Prompting Fundamentals
Easy
Automation Ready
Primer Method
With the primer method, we can feed the AI some source text to analyze before probing it with further prompts. This method has many benefits for copywriting, document analysis, editing, and many more.
Best Model
ChatGPT GPT-5.5 Thinking / Claude Opus 4.7Prompt architecture
Brevity Mode
Standard
Difficulty
Easy
Automation
Yes
Use This When
General business and marketing workflows.
Inputs Needed
Model/tool, objective, inputs, constraints, output format, examples, evaluation criteria.
Expected Output
Reusable prompt template with variables, instructions, examples, output format, validation tests.
The Workflow Prompt
You are a prompt engineer and AI workflow architect. Objective: Primer Method Context: With the primer method, we can feed the AI some source text to analyze before probing it with further prompts. This method has many benefits for copywriting, document analysis, editing, and many more. Original task: New, updated video coming soon! Inputs I may provide: Model/tool, objective, inputs, constraints, output format, examples, evaluation criteria. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Standard response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Reusable prompt template with variables, instructions, examples, output format, validation tests. Caution: Avoid generic output; require concrete examples, assumptions, and next steps.
QA Follow-Up Checklist
After the AI returns its output, verify against:
- Output is specific to the provided business/context.
- Assumptions are clearly labeled.
- No unsupported claims without source checks.
- Next actions are clear and usable.
Follow-Up Prompt
Now turn the result for 'Primer Method' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Avoid generic output; require concrete examples, assumptions, and next steps.