AI Content Generation Tools
Every AI content generation tool is a wrapper around an LLM. The prompt is what separates 'meh' output from publishable content.
This page gives you the prompts directly - paste them into ChatGPT, Claude, Gemini, Jasper, Copy.ai, Writesonic, or any tool that accepts a custom instruction.
Pair with a Loop after generation (e.g. /tighten, /humanize, /seo-pass) to compress your editing workflow into seconds.
Featured loops
The Counter-Intuitive Hook Generator
Generates and filters hooks that challenge common industry myths.
The Alt-Text Accessibility Engine
Creates descriptive, SEO-optimized image alt-text that serves both blind users and search bots.
The Kid-Logic Conflict Resolver
Generates and tests de-escalation scripts based on the specific emotional trigger of the child.
The Viral Hooks Smith
Generates and filters product opening lines based on high-retention TikTok and Reel trends.
The Seasonal Pivot Loop
Rapidly updates product listings for specific holidays or events without losing original SEO rankings.
The Quarterly Business Review
Generates a 'value report' for long-term clients to show why they should keep paying you.
The Host-Guest Friction Engine
Generates increasingly challenging counter-arguments to your own points to prepare for high-level podcast debates.
The Roleplay Stress-Tester
Generates increasingly difficult roleplay scenarios to test the limits of leadership communication.
The Test Coverage Hunter
Generates obscure unit tests by identifying unvisited execution branches.
The Post-Op Care Loop
Generates a 7-day post-procedure check-in cadence based on specific surgery types.
The Technical Gap-Filler
Crawls your current roadmap to identify hiring needs and generates targeted technical interview questions.
The Retrieval-Practice Bot
Generates 'Low-Stakes' quizzes that prioritize long-term memory over short-term cramming.
Frequently asked
Not really. A frontier model plus a tested prompt plus a Loop equals what most paid tools wrap and resell.
The one whose default model you trust. Output quality tracks the model, not the wrapper.