Lesson 67.1 gave you one path: a useful thing, a credible discovery moment, a first action, a reason to return, a reason to share. Now the practical question — where does the discovery moment come from? Every route you will ever use runs on one of three engines.

The three engines in plain language

• Earned distribution is attention and trust you earn through useful work: a lesson someone shares, a community answer that gets quoted, a press mention, a customer recommendation. You do not pay per view. You pay in research, craft, and consistency — and someone else decides whether it spreads.
• Paid distribution is attention you purchase: ads, sponsorships, creator placements, affiliate payouts. You control targeting, timing, and spend. The meter runs as long as you pay, and stops when you stop.
• Direct distribution is a route you own or operate directly: search presence, an email list, a partnership placement, a marketplace listing, a product loop that invites the next user. Nobody rents it to you view by view, but you must build and maintain it.

These engines reinforce one another but must not be confused. A newsletter is a direct relationship — you can write to subscribers next month without asking permission. A TikTok post is rented reach — the platform decides who sees it. An SEO page can become durable direct discovery — it keeps working while you sleep, but only if the page genuinely answers a searched question.

The ByeBuy Classroom uses all three, for different jobs. Helpful lessons earn shares when readers forward them to a friend — earned. Search-indexed lesson pages create direct discovery for queries like "what is an environment variable" — direct. A placement in a partner newsletter puts a useful lesson in front of a borrowed-trust audience — paid or partnered, with a measurable entry point. No single engine carries the Classroom, and no engine is "all channels."

Compare them honestly

Use this matrix before you fall in love with any route:

A local launch shows why the mix matters. The tailor cannot wait six months for earned word of mouth alone, cannot afford paid ads as the only strategy, and has no email list yet. So the sensible mix is: a tight paid nearby ad as the primary testable engine this month, earned referrals as the compounding bet, and a simple booking page plus review profile as the direct asset both point to.

For Research Desk, the mix inverts. A source-linked research template is exactly the kind of artifact analysts bookmark and forward — earned potential is high. Search pages for "how to research a company from filings" compound for years — direct. Paid enters only as a small experiment: one niche newsletter placement to a research-minded audience, with a tracked destination.

AI speeds the work; it does not choose the engine

AI can draft ad variants, summarize community language into message angles, organize search queries, and tidy measurement sheets. It cannot make an irrelevant message relevant, invent borrowed trust, or turn a confusing destination into a clear one. Pick the engine on audience fit first; use AI to execute inside that choice faster.

Exercise: score three routes and name your mix

Create DISTRIBUTION-MIX.md. List three candidate routes for your project — one from each engine. Score each 1–5 on:

1. Audience fit — are the right people already there, with the right intent? 2. Testable this month — can you run it with current time, skill, and budget? 3. Cost honesty — do you know what it costs in money and weeks? 4. Learning value — will the result teach you something even if it flops?

Worked example for the Classroom's next lesson launch:

Then declare: primary engine (where most effort goes), secondary experiment (one bounded test with a budget and review date), and one sentence on why neither is "be everywhere."

Finish line: DISTRIBUTION-MIX.md with scored routes, a named primary, a bounded secondary experiment, and an explicit rejection of the all-channels approach.

Verify quickly: ask "if the secondary experiment fails completely, will I still learn which engine deserves next month?" If the answer is no, tighten the measurement.

Common failure mode: running three primaries. Two engines at full effort means no engine gets enough attention to teach you anything.

Check your understanding

1. What is the difference between a newsletter subscriber and a social follower in engine terms? 2. Which engine compounds best, and what must exist before it can compound? 3. Why does a paid test need a clear destination before it launches?

Next

You have chosen your engines. Lesson 67.3 turns that choice into a concrete map — who, where, with what message, pointing where — before you write a single calendar entry.