SMU Academy · Self-guided unit
From tool to workflow.
You already know how to prompt. This unit turns AI from something you occasionally reach for into part of how you actually work.
Your journey this unit
Five moves, each one widening what “using AI” means.
Six ways to get a far better answer
Running example throughout the deck: a sales deck for Alccelerate, an AI consultancy pitching skeptical Singapore SMEs.
📋 Cheat-sheet: when to use what
ChatGPT is more than a text box
Running example: planning a market-entry strategy for SME lending in Thailand.
Pick the right model for the job
Don’t stress about the “best” model — match the model to the task.
The CLEAR framework for prompts
Compare models live: llm-stats playground · Artificial Analysis leaderboard
Source-grounded AI & AI inside your apps
📓 NotebookLM — answers only from your sources
Upload your materials; it won’t answer beyond them. Great for learning, research, and communication.
🧩 AI inside Google Workspace
Use AI right where the work already is.
Turn a repeated prompt into a reusable skill
A Project or Custom GPT = a master prompt + files + testing. Build one below.
🛠️ Master Prompt Builder
Fill the four parts. Your prompt assembles live — copy it into a ChatGPT Project, Custom GPT, or Claude.
Projects vs Custom GPTs
🚦 Before you ship it to others
Products need a far higher bar than internal tools — aim for 100% correct, not 99%, frame it as an experiment, and add a human check.
Knowledge check
Six quick questions. Instant feedback.
Glossary & takeaways
📖 Glossary
🎯 The one idea
Every section is the same move: stop treating AI as a one-off tool and wire it into a workflow — a repeatable skill with context, examples, testing and a human in the loop.