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Paid Newsletter

Monetize the thinking you already publish by charging for the issues that carry the analysis worth acting on.

Pro simple Knowledge Offers

What it adds

From your drafts, archive, and editorial calendar the builder produces a subscription page built around issue cadence, the recurring segments inside each issue, and the searchable back archive that comes with a paid seat. It converts on demonstrated sample quality plus a legible publishing rhythm — readers subscribe to a reliable habit, not a promise. The goal is a paid subscription started from a free reader's first sample issue.

What your builder is told to do

8

The actual instructions, in order.
  1. 1

    Inspect the supplied issue archive and editorial calendar. Determine the true publishing frequency, the average issue length, and the segments that recur across issues.

  2. 2

    Show the issue anatomy: name each recurring segment and state what it delivers. Readers subscribe to a format they can rely on, so make the format explicit.

  3. 3

    Surface a genuine full sample issue on the page — not an excerpt — and choose it from the archive as representative rather than exceptional.

  4. 4

    Draw the paid line clearly: what free readers get, what paid readers get, and whether paid includes the full back archive, comment access, or search. Take the split from the sources.

  5. 5

    Publish the archive depth as a count and date range so accumulated value is visible, and show what the next scheduled issues cover if the calendar supports it.

  6. 6

    Handle inbox-fatigue objections: state frequency precisely, describe how to pause or cancel, and confirm whether issues remain readable on the web after cancellation, using only stated policies.

  7. 7

    Specify responsive behavior: on mobile the sample issue renders full-width with a sticky subscribe bar and the archive collapsed to a count; on tablet show sample and segment anatomy in stacked full-width blocks with a two-column archive index; on desktop present the sample in a reading column with the archive index and cadence panel fixed alongside it.

  8. 8

    Close with one action — start a paid subscription on a stated term — placed both above and below the sample issue.

Edge cases it handles

5

The things an agent skips when you only say "build a paid newsletter".
  • The archive shows irregular publishing: state the honest historical cadence rather than the intended one.
  • Segments changed over the archive's history: describe the current anatomy and note when the format changed.
  • The sample issue references time-sensitive events: date-stamp it visibly so readers judge it in context.
  • No free tier exists in the sources: present the sample as the only preview and remove all free-tier language.
  • Archive access terms after cancellation are unstated: mark them unresolved rather than promising continued access.

Definition of done

7

Your builder is required to check every one of these before reporting the work finished.
  • Publishing frequency and typical issue length are stated and match the archive.
  • Recurring segments are named with what each delivers.
  • One complete, dated sample issue is readable on the page without an email gate.
  • The free-versus-paid split and archive access terms are stated or flagged unresolved.
  • Mobile, tablet, and desktop layouts behave as specified, including the desktop fixed archive panel.
  • No subscriber counts, open rates, or reader results appear unless a source file states them.
  • The builder reports which archive files and calendar informed cadence and sample selection, and lists unresolved assumptions.

Related offer files

How it works

  1. 1

    Copy the link

    Grab the Markdown blueprint URL for this offer type.

  2. 2

    Give it to your builder

    Paste it into Claude Code, Cursor, Codex, or whatever AI builder is already working in your app.

  3. 3

    It maps, then builds

    Your agent reads the blueprint first, then builds the offer into your app around the product, audience, and stack.

Works with your stack

These blueprints are written to adapt. They tell the agent to detect your framework, match your existing design system, and use your source files instead of guessing the offer.

Need it tighter than that? Customize the offer file and tell it exactly which source docs and stack to use.