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Claude and ChatGPT Workflow Pack for Shipping Features

Nine end-to-end workflows taking a ticket from vague request to reviewed pull request.

Rated 4.5 out of 5 from 2 reviews 34 students

LM Created by Laura Mbeki

  • Last updated August 2026
  • English
  • 1h 25m of material
  • 11 lessons

What you will learn

7 concrete outcomes

Every bullet below is something you will have built, shipped or be able to explain by the time you finish the last lesson.

  • Chain prompts into a sequence with explicit inputs and stopping points
  • Turn a thin ticket into a specification that surfaces the open questions
  • Design a small API with the model before you commit to an implementation
  • Add a field end to end without forgetting validation, migration or rollback
  • Review your own diff critically before another human sees it
  • Produce pull request descriptions and release notes people will read
  • Know the failure mode of each step so a bad answer is obvious

Course curriculum

5 modules · 11 lessons · 1h 25m of material

2 lessons running 12m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

2 lessons running 16m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

3 lessons running 24m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

2 lessons running 18m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

2 lessons running 15m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

5 modules · 11 lessons

1h 25m total length

Requirements

Short list, and deliberately so. If you meet these you can start today.

  • Some experience shipping changes into a shared codebase
  • An account with Claude or ChatGPT on any tier

About this course

Single prompts are easy. Getting a whole feature out of the door with a model beside you is a different discipline, and it is mostly about sequence. This pack is nine complete workflows, each a numbered chain of prompts with a clear stopping point and a checklist of what should exist before you move on.

The workflows cover the shapes that repeat: turning a two-line ticket into a specification with open questions, designing a small API before writing it, adding a field end to end through schema, model, validation and interface, writing a migration with a rollback, tightening error handling, preparing a pull request description, reviewing your own diff before a colleague sees it, drafting release notes, and writing the incident note when something goes wrong anyway.

Each step names its inputs, so you always know what to paste. Each step also names its failure mode, so you know what a bad answer looks like before you accept it. Two of the workflows include hand-off notes for pairing with a teammate midway through.

Eleven recorded lessons run the workflows against a small web application. The whole pack arrives as an emailed access link, in Markdown, Notion and plain text, with a printable checklist card.

Topics covered

Frequently asked questions

Still unsure about something? Write to misteryjj100@gmail.com and a human answers, usually the same working day.

No. Each workflow works with either. Where one model tends to do better at a step, the pack says so and explains why, but nothing requires two subscriptions.

Very. The self-review and specification workflows exist precisely because a solo developer has nobody else to catch the gap before it ships.

An access link is emailed to you immediately after checkout. It opens the pack and lessons in the WisdomCharms library and never expires.

Checkout is handled on our provider's secure payment page. The moment your payment clears we email your personal access link and access code to the address you used at checkout, and the same link appears in your account library. There is nothing to install and nothing to wait for.

Email misteryjj100@gmail.com within 14 days of your purchase, quote your order number, and we refund the full amount to your original payment method. No form to fill in and no questions about how much of the course you watched.

What students say

Reviews are written by people who bought this course. We publish the critical ones too.

4.5

Rated 4.5 out of 5

Course rating · 2 reviews

Rating distribution

  • 5 stars 50%
  • 4 stars 50%
  • 3 stars 0%
  • 2 stars 0%
  • 1 star 0%
  • RO

    Rebecca Osei-Bonsu

    Tech lead

    Apr 2026
    Rated 5.0 out of 5

    Sequence really does beat cleverness

    The claim is that the order you ask for things matters more than how you word them, and after a month of working this way I think that is right. Ticket to specification, specification to design, design to diff. Each step on its own is unremarkable and the compound effect is not.
  • SK

    Stefan Kraus

    Senior developer

    Dec 2025
    Rated 4.0 out of 5

    I kept two of the nine

    Nine workflows and I honestly use two of them. But the migrate-and-roll-back one has been valuable enough on its own: being forced to write the reversal before the change is a habit I should have picked up years ago. The other seven were not for me.

Your instructor

LM

Laura Mbeki

Prompt engineer and AI workflow designer

  • 506 students taught
  • 16 courses published
  • 4.3 instructor rating
  • Prompt engineering
  • Prompt libraries
  • AI workflows
  • Prompt evaluation

Laura went independent after seven years of agency work and now designs the prompt libraries that sit behind other people's products. She treats prompting as engineering: versioned prompts, a held-out evaluation set, a regression run before anything ships, and a token budget you have to hit. Her packs are the ones she uses with her own clients — briefing, rewriting, summarising, review — rather than sanitised examples, and each comes with notes on where it fails. She keeps every pack working across ChatGPT, Claude and a small open model, so the technique outlives the model.

See every course by Laura Mbeki
$9 USD

One-time payment · lifetime access

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