Intro to the superprompt system

Get the playbook

This resource is based on the article A 142-page prompt, 18 emails, and one solopreneur’s first Black Friday campaign, featuring Pam Covarrubias of Spread Ideas Move People, published on the AI Lab by ActiveCampaign.

The big idea

A super prompt is a comprehensive brand document (not a single prompt, but a knowledge base) that you share with AI before every working session. The more context AI has about your business, audience, voice, and constraints, the less you have to edit and the more useful its suggestions become. Covarrubias’ version is 142 pages and took three months to build, but the system works at any scale.

The framework

What to include	Why it matters	Example
Methodologies and frameworks	AI understands your approach, not just your topic	Coaching frameworks, content models, sales processes
Ideal customer profile	Output speaks directly to the right person	“Stage 2 Marisol: first-generation woman, early in business”
Constraints and boundaries	Prevents AI from suggesting tactics you’d never use	No cold outreach, no manipulative urgency, no specific topics
Business history and backstory	Gives AI the narrative arc behind your brand	Podcast transcripts, founding story, key milestones
Writing samples	AI learns your actual voice, not a generic one	Past emails that resonated, social posts, blog content
Tech stack	AI can reference integrations and tools without re-explaining	ActiveCampaign, ThriveCart, MemberVault

When to use this

You’re a solopreneur or small team running campaigns without a strategist to bounce ideas off of
You keep re-explaining your business to AI every time you start a new conversation
AI output sounds generic and requires heavy editing to match your voice
You want AI to help with planning and accountability, not just drafting

Common mistakes

Starting campaigns without sharing the super prompt: AI produces generic output that takes longer to edit than writing from scratch
Treating the document as finished: it’s a living document that grows with every campaign and new insight
Expecting AI to replace your judgment: Covarrubias uses AI for 75–80% of the draft, then adds storytelling and personal voice to reach 100%
Skipping the post-campaign analysis step: without feeding results back to AI, you miss patterns that improve the next campaign

Quick-start

Start with a 5–10 page document covering your ideal customer, three to five writing samples, and your tech stack. Share it with Claude or ChatGPT at the start of your next campaign planning session and ask it to co-develop your timeline. Add to the document after every campaign. It compounds over time.