Dr Low Ley Hian

From an AI conversation to a useful first build

A beginner-friendly workshop resource that connects ChatGPT, a clear project brief, and Codex—using a PowerPoint outline builder as a practical teaching example.

Designed for
Colleagues without a coding background
Planned format
60 minutes · 40-slide deck
Project status
Workshop resource · July 2026 edition
From ChatGPT to Codex workshop deck cover
Original workshop deck. The edition date identifies the resource, not a confirmed delivery date.

The challenge: turn a good conversation into usable work

For colleagues who do not write code, the difficult step is often not asking AI a question. It is turning a promising answer into a tool with a clear purpose, sensible boundaries, and a way to check whether it works. A convincing first draft can still hide missing requirements or unreliable output.

This workshop uses a familiar task: preparing a presentation from rough notes. Instead of starting with a large application, the teaching brief narrows the problem to choosing a deck type, generating an outline, and reviewing editable slide titles, key points, and speaker notes.

My contribution: a structured learning path

I organised the 40-slide resource around a one-hour beginner session: understand the tools, frame a small problem, write the project documents, hand over to Codex, and review the result. The emphasis is on giving colleagues a repeatable method, rather than a collection of prompts to copy without understanding.

The resource brings together a workshop agenda, example specifications, repository instructions, planning and implementation prompts, a demo brief, and a quality checklist. Git, deployment, and permissions appear as practical safeguards around the build—not as prerequisites participants must already know.

The workflow taught in the deck

  1. 01 · Frame one useful task

    Identify the user, their input, and the output they need. Keep the first version small: accounts, payments, and databases are outside this demonstration. A narrow scope makes the result easier to explain and test.

  2. 02 · Make expectations explicit

    Use DESIGN.md to describe the purpose, user flow, visual direction, and acceptance criteria. Use AGENTS.md for repository working instructions. These documents give the coding agent context that would otherwise remain in someone’s head.

  3. 03 · Build a first slice and inspect it

    Hand over the brief, ask for a plan, and work through a small implementation. The demo checkpoints are deliberately concrete: the page loads, empty input is handled, and the generated outline can be edited. A screenshot alone is not proof that those behaviours work.

  4. 04 · Review before reuse

    Check purpose, behaviour, edge cases, accuracy, privacy, and accessibility. Use dummy data, inspect changes, and keep credentials out of the project. Deployment is treated as another checkpoint, with a preview to inspect before sharing more widely.

Slide 12: DESIGN.md example with purpose, flow and acceptance criteria
Slide 12 · A written specification makes the intended behaviour reviewable.

A concrete example—not a claim of a finished product

The deck’s mini-build is a PPT outline generator for a colleague preparing a training or proposal presentation. The wireframe below shows the intended input and output. It is a teaching brief, not evidence of a deployed application; this case study does not claim that a production PowerPoint generator was delivered.

Slide 33: teaching wireframe for a PPT outline builder, not a deployed application
Slide 33 · Demo brief and interface wireframe from the original deck.

What the resource provides

The downloadable PowerPoint is the core deliverable. It includes the session structure, reusable document examples, a scoped build exercise, and review prompts. Teams can use these as a starting point for their own internal workflow, while checking current tool instructions and adapting examples to their policies before use.

Slide 36: six-point quality review covering purpose, behaviour, edge cases, accuracy, privacy and accessibility
Slide 36 · Human review remains part of the workflow, not an optional final step.

Intended outcomes and evidence boundaries

The intended outcome is confidence in specifying, building, and reviewing a small internal tool. Faster preparation and more consistent outputs are aims to evaluate, not measured results reported here. No attendance figures, participant testimonials, or time-saving percentages are claimed. A future pilot could compare the original task with the assisted workflow and document what actually changed.

Start with a task your team already needs to do

If your team wants to explore a practical AI workshop, tell me who will attend, the workflow you want to improve, and your preferred format. We can discuss an appropriate scope and the safeguards your organisation needs before agreeing on a session.