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Lesson-A-Day Sequence

Drip one short lesson each morning so learning happens in daily doses instead of a binge that never gets started.

Pro moderate Knowledge Offers

What it adds

The builder segments your material into consecutive daily lessons delivered on an automated schedule, each short enough to consume in one sitting and ending with a single action to take that day. It converts on spaced repetition and low daily friction — buyers commit to minutes per day rather than an open-ended course. The goal is a purchase that starts a delivery sequence the buyer stays subscribed to through the final day.

What your builder is told to do

8

The actual instructions, in order.
  1. 1

    Inspect the supplied lesson files and sequence drafts. Segment the material into daily units, each with a single teaching point and a single action, and record how many days the content genuinely supports.

  2. 2

    State the sequence length and the daily reading or watching time up front — a small, precise daily number is what converts here.

  3. 3

    Show the day-by-day topic list so buyers can see the arc, and mark the days where the material builds on a previous day's action.

  4. 4

    Define the delivery mechanics: what channel lessons arrive on, at what local time, whether the sequence starts on purchase or a fixed date, and what happens if someone misses a day.

  5. 5

    Add a catch-up path — an archive link or a resend mechanism — because missed days are the primary reason people disengage from drip sequences.

  6. 6

    Handle the objections this format draws: whether lessons can be consumed faster, whether they remain accessible after the sequence completes, and whether the buyer can pause. Use only policies present in the sources.

  7. 7

    Specify responsive behavior: lessons must render legibly on mobile as short single-column text with any action step as a tappable block; on tablet allow a two-column layout for lesson and action; on desktop cap line length for readability and show the day index alongside the lesson body.

  8. 8

    Close with one action — start the sequence — with day one's topic named beside it so the first delivery is already concrete.

Edge cases it handles

5

The things an agent skips when you only say "build a lesson-a-day sequence".
  • Material supports fewer days than the advertised sequence: shorten the sequence rather than splitting lessons into fragments.
  • A lesson's action requires a tool the buyer may not have: place tool requirements on the sales page, not inside the lesson that needs them.
  • Delivery time zone is unknown for a subscriber: default to a stated time zone and say which, rather than implying local-time delivery.
  • Some lessons are substantially longer than the daily estimate: publish per-day times instead of one average.
  • No archive exists after the sequence ends: state that lessons are delivery-only rather than implying permanent access.

Definition of done

7

Your builder is required to check every one of these before reporting the work finished.
  • Sequence length in days and daily time commitment are both stated in the first screen.
  • Every day's topic is listed, with dependency days marked.
  • Delivery channel, delivery time, start model, and missed-day handling are described.
  • A catch-up or archive path is defined, or its absence is stated explicitly.
  • Mobile, tablet, and desktop lesson rendering matches the specified behavior.
  • Day one's topic is named adjacent to the start action.
  • The builder reports which lesson files it segmented, and lists unresolved assumptions such as delivery time zone or archive availability.

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.