Prompt
AI that sounds like you — because of the structure you bring it
How do I use AI as a genuine productivity tool instead of a crutch that produces generic output I rewrite anyway?
You don't have an AI problem.
You have a structure problem.
You either over-rely on AI — accepting mediocre output that erodes your content quality — or under-use it, dismissing AI after one bad attempt without ever learning to prompt effectively. Recognize it?
You write one-line prompts and blame the model. "Write me a blog post about X" produces exactly what a generic blog post about X looks like — the fault is the prompt, not the model.
You scrap near-misses instead of diagnosing them. 80% of "bad AI output" is two targeted edits from publishable — restarting from scratch every time means you pay full cost on every attempt.
You publish unedited drafts that read "good enough." Your audience can tell, voice drift accumulates, and readers train themselves to expect generic content from you.
You have no prompt library. Writing every prompt from scratch means the compounding benefit of refinement never arrives — the library is the asset, and you never build it.
From generic output to AI that compounds in your voice
"I tried AI for my content but the output either sounds generic or doesn't sound like me, so I end up rewriting the whole thing anyway. I'm not sure it's actually saving me any time."
"I have a mapped capability grid, a scored leverage audit, a structured prompt blueprint, a reusable context-injection pack, a refinement cycle that fixes near-misses without starting over, and a prompt library for my highest-volume tasks. AI now saves me measurable hours every month without leaking my voice."
The shift: AI leverage isn't about the model. It's about the structure you bring to it — prompt architecture is a learnable, repeatable skill that produces compounding returns.
You don't just watch lessons.
You leave with 12 real artifacts.
Working documents you actually use — not more AI hype. By the end they add up to a capability map, a reusable prompt library, and a voice standard that keeps every output sounding like you.
AI Capability Map
A six-cell grid placing your recurring tasks by AI strength class.
AI Leverage Audit
A task-by-task spreadsheet scoring volume, edit-cost, and net savings.
AI Risk Awareness Model
Five risk classes with named mitigations and no-AI zones.
Directory AI Integration Points
Six surfaces where directories specifically benefit from AI.
Prompt Structure Blueprint
A five-element template — role, context, task, constraints, format — you reuse every time.
Context Injection Pack
A four-layer brand/audience/voice/examples block stored as a reusable snippet.
Prompt Refinement Cycle Log
A diagnose-and-edit playbook with your top three standard refinement moves.
Directory Prompt Library
Seven named templates for your highest-leverage directory tasks.
AI Output Quality Checklist
A six-criteria evaluation gate before you publish any AI-assisted output.
Voice Translation Playbook
A five-move edit guide that converts AI prose into copy that sounds like you.
AI-Assisted Content Workflow
An end-to-end pipeline from idea capture to published artifact, with the tool stack named.
Directory Voice Consistency Standard
Voice rules governing all AI-produced content in your business.
Three moves: map where AI fits → write prompts that work → edit it into your voice
Applications
Where it fitsWhere AI fits in your content and page-building workflow.
- Discover Route your tasks on the six-cell capability map
- Target Score tasks by volume, edit-cost, net savings
- Limit Name five risk classes and their mitigations
- Apply Map your directory / niche AI integration points
Architecture
Direct itWriting prompts that produce useful output instead of generic filler.
- Frame Use the five-element prompt blueprint
- Load Build a four-layer reusable context block
- Sharpen Run the diagnose-and-edit refinement cycle
- Apply Build your directory / niche prompt library
Adjustment
Make it yoursEditing AI output until it sounds like you, not a machine.
- Audit Gate every draft on six quality criteria
- Align Strip AI tells with the five-move voice playbook
- Automate Wire the end-to-end content workflow
- Apply Set your directory / niche voice standard
More than videos —
a learning system
Every lesson lives in a platform built to help you actually absorb, apply, and return to the work.
AI Chat per lesson
Ask questions and pull key points, action items, and reflections from any lesson.
Searchable transcripts
The full text of every video — search it, scan it, jump straight to the part you need.
Highlights
Mark the passages that matter and filter the transcript down to just your highlights.
Bookmarks
Save the exact moments you'll want to come back to and reopen them in a click.
Notes
Keep personal notes saved right inside each lesson, exactly where you wrote them.
Playlists
Build custom collections of lessons and sequence the path that fits you.
Certificate
Auto-issued the moment you complete every lesson in the course.
Podcast mode
Listen to the course as audio in any podcast app — learn on the move.
Video controls
Closed captions, speed controls, picture-in-picture, and theatre mode — watch your way.
Favorites
Heart any lesson to pin it to your favorites for quick access later.
History & resume
Pick up exactly where you left off — your place is always saved.
Threaded comments
Discuss each lesson with other students in threaded conversations.
Is this course your right next step?
This is for you if…
- You've tried AI for content but gotten inconsistent results and want a repeatable system.
- You're spending more time editing AI output than you expected and want to fix the upstream problem.
- You want to build a prompt library for your highest-volume tasks and stop reassembling prompts from scratch.
- You want to preserve your brand voice while using AI to accelerate production.
- You're willing to produce real artifacts — a capability map, a leverage audit, a prompt library — not just ideas.
This is NOT for you if…
- You want a shortcut that produces publish-ready content from one-line prompts without you editing anything.
- You have no recurring content tasks and produce written output rarely.
- You've already built a mature, tested prompt library and voice-translation workflow.
- You want a quick overview — this is 12–18 hours of focused work to produce a complete AI-assisted content operating system.
Be one of the first to tell your story
These courses are brand new. Once you've done the work, tell us how it changed your thinking — your words could be the first testimonial featured right here.
"Here's how this course changed the way I…"
your story here
"The part that surprised me most was…"
your story here
Three ways to go deeper
This course is one piece of a bigger system. Here's the whole map — and where you are on it.
University
Learn at your own paceThis course — full University access is $80 on its own.
Launchpad
Get the tools to execute-
Ebook$10narrative deep-dive
-
Checklists$15self-assessment diagnostic
-
Journal$20reflective application + AI prompts
-
Workbook$25full execution tracker
One of each — the full toolkit for this course is $70 on its own.
You're buying the University piece — the course, its platform, and the artifacts you produce. Bundle all three and save — see pricing below. Each column is also available à la carte: University $80, Launchpad $70, Events $280. See how we build →
Everything. Course price.
Lock in the full bundle today. Every piece ships to your account as it's built — and the price only goes up from here.
$430 value when complete
Everything, for the price of just the course.
- 12 lessons + AI Chat, transcripts, highlights, bookmarks
- Ebook + Checklists + Journal + Workbook shipping soon
- Workshop + Sprint + Challenge access shipping soon
- Certificate on completion
- Clinics included free — $20 each on their own
The price goes up as content ships — the founding price never comes back.
Not ready to commit? Attend our live workshops, sprints, and challenges for free — just show up. No signup, no credit card. If you like what you experience, the founding price locks in everything permanently.
Every piece below ships to your account as it's built — free, at your founding price:
- Prompt — 12 lessons Digital$80 valueLive now
- Ebook Digital$10 valueIncluded
- Checklists Digital$15 valueIncluded
- Journal + AI Prompts Digital$20 valueIncluded
- Workbook Digital$25 valueIncluded
- Workshop Events$40 valueIncluded
- Sprint Events$80 valueIncluded
- Challenge Events$160 valueIncluded
- Total value when complete$430You pay $80
↑ as the tools ship, the price rises
↑ as the live events go up, it rises again
Full $430 value, fully builtWhat ships when?+
- Week 1: Workshop Part A (courses 1–3) + Ebook ships.
- Week 2: Workshop Part B (courses 4–6) + video lessons go live + Checklists ship.
- Week 3: Sprint recordings + Journal ships.
- Week 4: Challenge recordings + Workbook ships.
Or start bigger — the same deal at every scope:
Course
1 course + tools + events
$80Pod
All 6 Engine courses
$320Pillar
All 36 Framework courses
$960University
All 324 courses
$4,320Same deal at every scope — everything included, price goes up as content ships. See How We Build →
Prefer one piece? Single University, Launchpad, or Events access. · See How We Build →
Founding Access — Prompt
Full bundle (University + Launchpad + Events) · $80 · pre-sale founding rate
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Wire this to the Simplero Founding bundle product for this course.
The third step of the Engine journey
Prompt is course 3 of 6. With real pages and a lead magnet to work on, AI is finally useful — not a blank slate — so you build a prompt library that accelerates the content those surfaces need, then carry the structured-input discipline into briefing developers next.
You are here — put AI to work.
You're not doing this alone
Every lesson has a discussion where you share your work and read how others approached the same prompt — so you see the patterns, not just your own answer.
“Post your experience, read two others, and notice the patterns.”
Per-pillar discussion forums are coming as the community grows.
Before you decide
Isn't AI output always going to sound generic?+
Only if the prompt is generic. "Write a blog post about X" gets you the average of the internet; a structured prompt with role, context, constraints, and your voice block gets you something usable. The fault is the prompt, not the model.
The output missed — do I start over?+
No — 80% of near-misses are two targeted edits from publishable. The Refinement Cycle diagnoses what's wrong and fixes it without paying full cost on a fresh prompt every time.
How do I keep AI from leaking into my voice?+
A six-criteria quality gate before publish, plus a five-move Voice Translation Playbook that strips the AI tells. Voice drift only accumulates when nobody's editing against a standard — so you build one.
Do I really need a prompt library?+
It's the asset. Writing every prompt from scratch means refinement never compounds; a library of named, tuned templates for your highest-volume tasks is where the hours-saved actually come from.
How much time does it really take?+
12–18 hours of focused work across the three modules. Artifacts compound — the Capability Map feeds the Leverage Audit, which feeds the Prompt Library, which gets governed by the Voice Consistency Standard.
What do I actually walk away with?+
12 working artifacts — from an AI Capability Map and Leverage Audit to a reusable Prompt Library and a Voice Consistency Standard.
How do I use AI as a real productivity tool — instead of a crutch that produces generic output I rewrite anyway?
Stop blaming the model. Map where AI fits, write prompts with real structure, and edit every output until it sounds like you.