Your Content Takes Too Long to Produce.
The tools are there. The time isn't. This route gives you a system that makes AI output actually sound like your brand.
Before this route
- AI-generated copy sounds generic — it doesn't sound like your brand at all.
- You have content ideas but struggle to turn them into ready-to-publish assets.
- You write content from scratch even when AI could give you a solid first draft.
- Results are inconsistent: sometimes great, often just mediocre.
- You're spending hours on content that should take minutes to produce.
After this route
- Before asking AI for ideas, you need to give it the right context.
- You now have the inputs AI needs.
- With 30 solid ideas in hand, you now sequence them into a publishing calendar with dates, topics, formats, and posting cadence.
- AI-generated copy sounds like your brand — because you gave it the right context.
- You can go from brief to finished asset in a single session.
What You'll Actually Do
This isn't a lecture. Each step has you doing something real with AI — and by the end, you'll have a finished result you can use immediately.
Lay the foundation
Before asking AI for ideas, you need to give it the right context. In this module you collect everything AI needs to know about your brand, audience, and goals — so the output is relevant to you, not generic.
Generate 30 post ideas
You now have the inputs AI needs. In this module you use a structured prompt to generate a full month of ideas across your 3 pillars — then filter them down to the 30 best ones.
Build the 30-day calendar
With 30 solid ideas in hand, you now sequence them into a publishing calendar with dates, topics, formats, and posting cadence.
Polish and prepare for publishing
Your calendar is built. Now make it publish-ready: add hashtags, visual briefs, and status tracking so nothing falls through the cracks.
Built for People Who Use AI at Work
You don't need to be technical. If you use ChatGPT, Claude, or Gemini for work — this route will make that time more productive.
Marketers
Content, briefs, and campaigns — done in hours instead of days.
Sales & BizDev
Prep calls, draft outreach, research prospects — in minutes.
HR & People Ops
Job descriptions, interview kits, onboarding docs — built, not copy-pasted.
Managers & Leads
Reports, presentations, and team comms — handled faster.
Founders
Move fast on everything — pitches, pages, research. AI as your first hire.
Ops & Analysts
Summaries, process docs, and structured output — from messy inputs.
How This Route Works
Read the Step
Each step gives you a task and a prompt to try. No fluff — just what to do and why it matters.
Do It With AI
Open your favorite AI tool. Paste the prompt. See the result. Then tweak it using the techniques you just picked up.
Stuck? Hit "Help"
The AI assistant knows what step you're on. Ask it anything — it sees your context and gets you unstuck in seconds.
"We went from spending a full day on content planning to finishing it in one session. The AI now sounds like us, not like a template."— Early access user, marketing lead
What You Walk Away With
Lay the foundation
Before asking AI for ideas, you need to give it the right context.
Generate 30 post ideas
You now have the inputs AI needs.
Build the 30-day calendar
With 30 solid ideas in hand, you now sequence them into a publishing calendar with dates, topics, formats, and posting cadence.
Polish and prepare for publishing
Your calendar is built.
Questions
No. If you've used ChatGPT, Claude, or Gemini even once, you're ready. This route works at any level.
Any of the major ones — ChatGPT, Claude, Gemini, or Copilot. The techniques in this route work across all of them. Use whatever you already have open.
About ~1h 15min end to end. You can pause and pick it back up — your progress is saved.
Every step has an AI assistant built in. It knows your context — what step you're on, what you've done so far. Just ask, and it gets you unstuck.
Courses teach concepts. This route has you doing real work at every step. You don't watch someone else do it — you do it yourself, on an actual task. By the end, you have a finished result and a system you can reuse.