> Canonical source: <https://helloaristotle.com/ai-training/chatgpt/>

# ChatGPT training for employees

Get beyond back-and-forth chat and use more of the ChatGPT ecosystem to take work off your plate.

[Book a free 20-minute call](<https://helloaristotle.com/contact/?from=%2Fai-training%2Fchatgpt%2F>)

![ChatGPT. Beyond the chat. Hello Aristotle’s blue Dot mascot beside the headline.](<https://helloaristotle.com/media/commercial-artwork/g3-960.webp>)

## Build a system that gets work done.

Chat is great for a quick question or a thread. With Work and Codex, you can connect context, tools and agents into a system that carries work forward. You don’t need to be a developer to start.

### Your context carries forward

Keep your goals, references and approved feedback together. Agents can use that context across related tasks, so each new brief starts with more of what you’ve already worked out.

### Good work becomes repeatable

Turn useful instructions and quality checks into skills. A research task can feed a draft, then a review, with the same brief and standards carried through.

### Progress while you’re away

With supported scheduling and the right access, agents can check for new feedback and prepare updates while you sleep. Return to work you can review, choose from and build on.

## From an idea to something you can react to.

Imagine you want to make an app feature easier to use. Instead of stopping at a brainstorm, ask ChatGPT to prepare a small set of options you can actually judge. This is an illustrative exercise, not a client result.

1. ### A rough layout
   Ready to review
   A simple screen sketch that puts a ‘Saved filters’ label beside the existing Library link. The structure stays intact.
   You choose
   Would this make the next step obvious, or does it clutter the screen?
2. ### Words to try
   Ready to review
   Two draft directions: rename the link ‘Saved filters’, or keep ‘Library’ and add ‘Find your saved filters here’ as a hint.
   You choose
   Which wording fits the product and how your users speak?
3. ### A challenge to the idea
   Ready to review
   A short review flags that two comments don’t establish how common the problem is. A tour may be unnecessary; a clearer label is another hypothesis to test.
   You choose
   What evidence would justify a change, and which version is worth trying first?

**The starting brief:** Fictional example: new users need to find a saved filter. The screen links to ‘Library’. One person found that label unclear; another suggested a tour. Keep the navigation. There’s no usage data yet.

The useful result is a choice you can make with better material in front of you. ChatGPT prepares the options; your taste and judgment decide what goes forward.

**Try this workflow yourself**

### Use an idea from your own work

Replace the brackets with a small, non-sensitive task. A service description, internal page or presentation can work too. Pasted context is enough for a first attempt; connected apps are optional.

Hello Aristotle

### Try giving ChatGPT a whole task

```
Help me take an idea through to a small set of options I can review.

My goal: [what I want to improve].
Approved context: [current brief, relevant feedback, references and constraints I can share].
A useful result would be: [what I need to decide, and what good looks like].

First, identify any missing information that would materially change the work. Ask me for it before proceeding. If I cannot supply it, label the gap and keep affected conclusions tentative.

Then prepare three connected pieces: a rough representation of the idea, two wording or presentation directions, and a challenge to the assumptions. Choose a representation you can actually produce here; say when a requested format needs another tool.

Tie each factual claim to the supplied context. Separate evidence, proposals and unknowns. Do not invent user behavior, results or commitments. Compare the options in a short review note and identify the decision I need to make next.

Before drafting, list my hard constraints. Before showing the result, check each one against the actual draft and repair any violation. If a useful option needs a constraint relaxed, ask first instead of quietly changing it. Keep everything as drafts here; do not send messages, edit shared material or publish anything.
```

### Before you use the result

1. Can you trace the factual claims to something you supplied? A plausible explanation is still a guess without evidence.
2. Does each option respect the constraints, including the parts you asked ChatGPT to leave alone?
3. Is there enough difference between the options to help you make a decision? Correct the instructions if they all say the same thing.

#### Then try a different idea

Keep the useful instructions and add the corrections you approved. Test them on fresh material, including feedback that disagrees, before saving the process as a skill.

## Make useful work easier to repeat.

We’ll build around a job you already understand. Start with one useful task, then connect the steps and decide what can run without you.

1. ### Set the destination
   Name the result, supply the relevant background and show an example of quality. Decide what ChatGPT can handle and which decisions should return to you.
2. ### Let it attempt the whole task
   Choose Work or Codex for the job and give it the context and tools it needs. Let an agent take the task through to a result you can check, then fix the gaps together.
3. ### Save the standard, not just the answer
   Refine the instructions and quality checks, then save a reusable skill where your account supports it. Try a new input to see whether the method holds up beyond the first example.
4. ### Give proven work a schedule
   Once a run is useful, an agreed schedule can check selected sources and prepare updates. You might return to options based on new design feedback, with the original comments attached for review.

![Sydney at a cafe table with laptops](<https://helloaristotle.com/brand/assets/photography/sydney-cafe-640.webp>)

Sydney Liu, founder of Hello Aristotle

## We use this ecosystem to run our company.

We were among the first few thousand people to test the OpenAI API before its public release. Today, we use ChatGPT Work, Codex and Dots every day to run our company.

You’ll work directly with Sydney Liu to apply that experience to your own work. Bring something you keep doing by hand, and we’ll explore how much of it AI can take on, with you making the decisions that matter.

[Meet Sydney Liu →](<https://helloaristotle.com/insights/authors/sydney-liu/>)

### What our learners say.

Sabrina’s experience with Hello Aristotle, shared as an individual learner.

> “I already used AI a lot, but I wanted it to do more than help me brainstorm. Seeing how Hello Aristotle sets up real workflows, like planning things and writing follow-up emails, gave me a lot of ideas for automating my own work and life.”

**Sabrina Wang** CEO Coach · Mochary Method

## Give your next attempt a head start.

These free resources help you explain your work to AI and diagnose an answer that missed the mark. Bring what you discover to a session.

[![Hello Aristotle: Give AI the context your work needs](<https://helloaristotle.com/editorial-covers/resource-make-ai-understand-your-work-45e634e69178-1200.webp>)](<https://helloaristotle.com/resources/make-ai-understand-your-work/>)

### [Give AI the context your work needs](<https://helloaristotle.com/resources/make-ai-understand-your-work/>)

Turn selected notes, documents and emails into a useful work profile. Let AI find the gaps, ask you better questions and save the context for next time.

[![Hello Aristotle: Fix a disappointing AI answer](<https://helloaristotle.com/editorial-covers/resource-fix-a-disappointing-ai-answer-0e823bdda4e8-1200.webp>)](<https://helloaristotle.com/resources/fix-a-disappointing-ai-answer/>)

### [Fix a disappointing AI answer](<https://helloaristotle.com/resources/fix-a-disappointing-ai-answer/>)

Find the missing context, improve the brief and get a better answer. Use one repair prompt, then keep the lesson for the next task.

## Let’s make it work for you.

**I use ChatGPT every day. Will this go beyond prompting?**

Yes. Bring a task where you still steer every step. We can look at what’s missing: access to the right material, a clear finish line, a repeatable method or a way to check quality. You’ll practice those choices on something useful to you.

**Do I need to be technical?**

No. These systems are useful for research, writing, planning and operations too. We’ll help you build around work you already understand, without needing to code. You’ll learn how to give direction, recognize a useful result and improve the setup. We often recommend this ecosystem to nontechnical people; we’ll choose tools and features your account supports.

**Why get help when there’s free ChatGPT training?**

Free walkthroughs are a good way to explore the features. Work with us when you want help applying them to your own messy task. We can examine an actual result together, work out why it missed and improve the setup with you.

**Can it prepare work while I’m away?**

Yes, for supported scheduled tasks with the necessary access. Start by testing a run, then choose the sources, timing and draft you want back. Checking email or Slack requires approved connections; a scheduled check is not an instant reaction to every new message. Cloud availability varies, and work that needs local files or local-only skills requires your computer and app to stay on. We’ll check your setup before building around it.

**How do we arrange sessions for colleagues?**

Tell us which tasks people want to hand over and how they currently use ChatGPT. We can shape the practice around their starting points and account access. The first conversation is a free 20-minute call. Initial paid group training starts at one hour; we’ll agree the format, timing and price before you commit.

**Will I receive a qualification?**

Aristotle Certificates recognize practical proficiency milestones. They aren’t accredited qualifications or employer certificates. The focus is being able to do useful work and explain how you checked it.

**What should I have ready?**

A task you understand and some material you’re permitted to use are enough to start the conversation. You don’t need a finished system.

**Your ChatGPT setup.** Tell us your plan and whether an employer manages the workspace. Work, Codex, connected tools, skills and scheduled tasks depend on your account and settings. We’ll choose an exercise that fits what’s available.

**A safe sample.** Use an approved, redacted or fictional brief when real material cannot be shared. ChatGPT only gets the context you deliberately make available; it doesn’t automatically know your past work or have access to every company source.

**A clear stopping point.** Choose what you want prepared for review. Connections and live actions need their own permissions, and we’ll agree separately if your goal needs implementation beyond training.

## What would you hand over first?

Think of something you keep walking ChatGPT through, or an idea you never find time to explore. Bring it along and we’ll find a useful place to begin.

[Book a free 20-minute call](<https://helloaristotle.com/contact/?from=%2Fai-training%2Fchatgpt%2F>)
