As someone who naturally gravitates toward frameworks, I’ve spent a lot of time thinking about how to make AI a more reliable collaborator in day-to-day workflows. Early experiments with prompting were useful but inconsistent. Quick wins often gave way to drafts that lacked nuance or alignment with brand standards.
This led me to develop what I now call the Mega Prompt: a structured, comprehensive input designed to provide AI with all necessary context and constraints in one pass. Unlike simple, task-based prompts, a Mega Prompt functions as a detailed brief. It instructs the AI on who to be, what to create, and how to deliver it, producing outputs that are closer to a first-draft-ready standard.
Over time, I found myself writing pages of Mega Prompts for different scenarios: executive messaging, internal updates, crisis communications, and employee engagement content. Each prompt followed a consistent pattern that allowed for adaptability across roles and industries.
Here is an example of the framework in action:
Mega Prompt Framework
You’re an expert Communications Strategist trained in internal comms, executive messaging, crisis PR, employee engagement, and brand storytelling. I need help crafting a [type of communication] for [audience] with the goal of [primary goal]. The message should sound [tone or voice—e.g., empathetic, concise, confident], align with our [brand guidelines/company values], and follow best practices for [platform/channel—e.g., email, Slack, LinkedIn, internal memo].
Key details:
- Message topic: [insert topic]
- Audience context: [insert what they know, feel, or need]
- Desired outcome or action: [insert CTA or effect]
- Constraints: [e.g., word count, legal review, timing]
Optional:
- Reference examples or past messages: [paste examples]
- Keywords or phrases to include/avoid: [list]
- Format preferences: [paragraph, bullets, headline + body]
Write the first version. Then provide:
1. A sharper headline/subject line (if applicable)
2. A TL;DR version
3. 2 variations: one more casual, one more formal
4. A short explanation of *why* this version works for this audience
I see this approach not just as a tool for personal productivity but as a way to operationalize AI across teams. It shifts prompting from an ad-hoc practice to a strategic capability—one that can be documented, shared, and improved. Feel free to copy and paste the framework, edit it to fit your workflows, and see how it performs in real scenarios. I’d be curious to hear how it turns out for you.
