Hands-on performance: reliable output × fewer tokens
Learn to break down tasks, manage context, design quality checks and optimize tokens, so AI reliably delivers work that passes.
| Starts | 2026/11/30 |
| For | Researchers, analysts, planners and operations staff who already use AI for real work but often redo it or hesitate to hand it in |
| Courses | 5 courses |
| Teachers | Eric Wu、Peggy Lo、Richard Lee、Wisely Chen |
Reconcile October’s orders and send it straight to finance
Done. 1,284 orders, all matched ✓
01Says done, but missed some37 returns were never read, and it won’t tell you
Returns weren’t deducted. Redo it
Regenerated all results
02Fix one thing, break anotherReturns are in now, but the shipping column that was right has changed
The total is off from the bank deposits by NT$2,340
Fixed. Difference adjusted ✓
03Can’t reconcile? It makes something upA new “adjustment” line appears that isn’t in the source data
I said tax-inclusive at the start. You used pre-tax
Sorry, regenerated all results
04Long chats, forgotten rulesThe calculation method set at the start gets overridden later on
Every reply says “done,” but you can’t tell which one to trust. You can’t see which step went wrong, so you rerun the whole thing.
0/ 4
The biggest time sink is a result that looks finished when you can’t tell what it missed
01Input
02Context
03Process
04Output
05Cost
Design these five points well, and you can trace where any step of a complex task went wrong.
Stuck at a stage? Open that box.
⚙ CodeSort mail
✦ AISpot the issueLLM
⚙ CodeLook up orderSQL
✦ AIFind the ruleRAG
✦ AIDraft replyLLM
Human check
Code takes what has a right answer, AI takes the judgment calls
Lesson 5 demo; screens are illustrative
AI self-checks against criteria
Adversarial test · Another AI checks
Green means go
Human check · Yellow goes to you
Five lessons. With your teacher, take a customer-support workflow from breakdown to sign-off, then apply it to revenue-share reconciliation.
Great AI workflows keep costs in check and keep delivering work that passes.
Work around AI's two limits and draw a three-color rules/code/AI flowchart that gives each step the right method.
Combine human review, AI self-checks and independent adversarial checks with a traffic-light rating to decide if the work can ship.
Write requirements as a spec AI can follow, let it break down the work, then accept it through tests and review.
Work out the full cost of one task, match the models, and set budget caps and stop rules.
Break down a customer-support workflow with the instructor, pick SQL, RAG, an LLM or code for each step, then use problem emails to find what breaks.
People who already use AI for real work but often redo it or hesitate to hand it in. For example, those doing research and analysis, planning or operations reports, or already running automated workflows and starting to watch AI costs.
No.Each galaxy is a standalone series. Pick by the work you want to get done.
Lesson 2 demonstrates with Word, Excel and a chat AI, so you can follow along without an engineering background.
Twin teaches you to hand AI one complete job. Workflow teaches you to make a whole workflow run right, run steady and run lean. Product teaches you to launch what you built with Vibe Coding for others to use. Evolve teaches teams to turn experience into shared standards and keep improving.
The course teaches you to work out the full cost of a task, beyond the per-token price, and to set a budget cap. Necessary checks sometimes raise usage on a single run in exchange for less rework, so we don't promise a fixed savings rate.
5 online lessons, planned to start Nov 30, 2026.
Watch on your phone; work on a computer.Your phone works for watching and checking what the AI hands back. To follow along you'll need a computer that can open Word or Google Docs and Excel and run code. Desktop apps: Claude needs macOS 13 or Windows 10 or later, ChatGPT needs macOS 14 or Windows 10 or later. To watch lessons, use Chrome 111, Safari 16.4 (iOS 16.4), Firefox 128 or later.
Use AI from different providers.The method works with any tools: use AI from different providers to check each other. Lesson 2 uses tracked changes in Word or Google Docs and Excel with a chat AI; the instructor mainly uses Claude and cross-checks with Codex.
Free to practice; paid for heavy use.You can practice on free plans; cross-checking needs accounts with two AI providers. Long documents, running code, and repeated retries and checks use a lot of allowance, and when the free allowance runs out you'll need to wait for it to reset or switch providers. For heavy workloads, we suggest a paid plan with at least one provider for more usage; the course also covers task costs and budget caps. Whenever a lesson uses a paid feature, we'll flag it.
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Courses open 2026/11/30 17:00
