AI Content Mastery: Publish More, Stay You

Module 1 — Building Your Voice Contract

Lesson 1: Why Generic AI Content Fails Everyone's prompting the same models the same way. The output reflects it: same structure, same hedging phrases, same "in today's fast-paced world" openers. The problem isn't the model — it's the absence of constraint. A voice contract is a one-page document that constrains the model to sound like you and not like everyone else.

Lesson 2: Writing Your Voice Contract Your voice contract has five sections: (1) your stances — the positions you actually hold, not hedged takes; (2) banned phrases — language that feels wrong for you to say; (3) experiential anchors — the specific stories and roles you draw from, which the AI should reference and not invent; (4) structural preferences — how you open, how you close, how long your sentences run; (5) tone calibration — three adjectives that describe you at your best, three that describe the opposite. Spend an hour on this document. It's the most valuable prompt you'll ever write.

Lesson 3: Testing the Voice Contract Run your contract against 3 pieces of your existing content. Ask the model to rewrite them using the contract. Compare. Where the output diverges from your originals, identify why — usually it's a missing constraint or an overconstrained phrase. Iterate until a colleague familiar with your writing can't tell which version you wrote.

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Module 2 — The Content Pipeline

Lesson 4: The Five-Stage Pipeline for Individuals Intake (automated): RSS feeds, newsletter alerts, LinkedIn notifications that surface relevant topics daily. Filter (AI): relevance scoring against your audience and subject matter — threshold at 7/10 or higher. Draft (AI + voice contract): full draft generated against your contract. Gate (you): 90-second review — ship, edit, or kill. Distribute (semi-automated): publish to primary channel, then cut-downs to secondary channels. Total your-time per piece: 15–20 minutes. Manual equivalent: 3–4 hours.

Lesson 5: Setting Up Your Intake Layer The goal of the intake layer is to make sure you never stare at a blank post wondering what to write about. Set up 3–5 RSS feeds from sources your audience respects. Add a Google Alert for your primary topic. Subscribe to 2 newsletters that surface contrarian takes. Every morning you have 10 raw ideas. You publish 2–3 per week. The rest you ignore.

Lesson 6: The Draft Prompt Walk through the exact prompt structure for generating a content draft: voice contract (paste), topic (from intake), format (LinkedIn post / newsletter section / long-form article), target length, one angle or stance you want to take. The stance is critical — without it, the AI generates balanced, forgettable content. With it, it generates an argument.

Lesson 7: High-Volume Intake vs. High-Quality Filter The intake layer is easy to over-engineer. A 20-feed RSS setup producing 200 items a day sounds comprehensive — and will paralyze you. Better: 5 feeds, 20 items, 3 worth drafting. The filter is where curation happens. Set a high threshold and miss some topics. Volume of ideas is not the constraint; quality of attention is.

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Module 3 — Gate Discipline and Quality Control

Lesson 8: The Gate Is Non-Negotiable Every AI-generated piece should pass through your approval gate before it reaches your audience. Not because the AI is unreliable — because your credibility travels with every piece. The gate is also where the best drafts get better: a human who knows their audience catches what the model missed.

Lesson 9: What to Look for in 90 Seconds In 90 seconds, check: (1) does it sound like you, or like the model? (2) is the stance clear, or is it hedged? (3) does the opening earn the reader's attention, or does it warm up for two sentences before saying anything? (4) is there at least one specific claim or example that only you could have written? If four of four: ship it. If fewer: one targeted edit, then ship.

Lesson 10: Building a Quality Feedback Loop Once a month, pull your three best-performing pieces and your three worst. Ask the model to identify what structural and voice differences explain the performance gap. Update your voice contract with what you find. Over six months, the drafts get measurably better — because your contract gets more precise, not because the model improves.

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Module 4 — Distribution and Cut-Down Strategy

Lesson 11: Primary Channel First, Always Long-form content on your site or newsletter is the asset. LinkedIn posts, Twitter threads, and short-form video are distribution channels for the ideas in that asset. Produce the long-form version first, gate it, then cut it down. Never write the cut-down first — you'll lose the argument that makes the piece worth reading.

Lesson 12: AI-Assisted Cut-Downs Provide the model with your approved long-form piece and ask for: a LinkedIn post (250 words, leading with the most provocative claim), a newsletter teaser (100 words, ending with a link to the full piece), and three pull quotes formatted for visual posts. Review each cut-down with the same 90-second gate you apply to drafts. The distribution stack is now automated — your attention goes entirely to the primary piece.