AIYING | CHATGPT COMPLETE | #02
Chat, Work and Codex: Choosing How to Work
Understand the platform. Discover possibilities. Accomplish useful work.
By Ravindra Dastikop
You need help with a workshop. Do you want to discuss an idea, prepare the teaching materials, or build a small quiz application?
The subject is the same. The work you need is different.
In edition #01, we mapped conversation, model, context, tools and review. Now we make a practical choice: which way of working fits the result you need?
1. Three starting points
OpenAI's current documentation describes Chat for conversational work, ChatGPT Work for carrying larger tasks through to reviewable outputs, and Codex for developer-oriented work. These are useful starting points, with overlapping capabilities.
| Starting point | Typical intention | Workshop example |
|---|---|---|
| Chat | Discuss, understand or refine. | Help me decide what students should practise. |
| Work | Produce a deliverable I can inspect. | Prepare my facilitator guide and student worksheet. |
| Codex | Build, inspect or change software using technical tools. | Implement and test a browser-based practice quiz. |
Check your account: access, interface labels, tools and allowances vary. If Work or Codex is unavailable, you can still discuss the task and draft materials in Chat. Running code or producing a downloadable file depends on available tools.
2. Keep the distinctions clear
- A working experience shapes how you approach the task.
- A model supplies AI capability.
- A tool supplies a specific ability, such as searching or running code.
- A plan affects access and allowances.
These are different choices. You do not need a technical workflow simply because your topic is technical. Equally, a short request can require substantial technical work.
3. One case, three useful requests
Fictional case: Meera is preparing the 30-minute workshop from edition #01. Students will create five study questions from a short passage and verify the answers.
A. Chat: clarify the learning activity
Meera first needs to make a teaching decision. A focused conversation can help her examine options.
I am planning a 30-minute workshop for first-year college students. They will create five study questions from a short passage and verify the answers. Compare these approaches: A. Demonstrate first, then let students try. B. Let students try first, then discuss mistakes. Explain one benefit and one limitation of each. Recommend an approach for beginners and state your assumptions. Keep the response under 250 words.
What to check: Does the recommendation account for beginners and the time available? Treat the recommendation as a proposal to judge.
B. Work: prepare the materials
After choosing the activity, Meera needs usable teaching materials. Her brief should specify the outputs and their acceptance criteria.
Prepare materials for a 30-minute introductory AI workshop. Audience: first-year students, smartphones, no coding experience. Do not assume paid subscriptions. Create: 1. A facilitator guide with an agenda totaling 30 minutes. 2. A student worksheet with one original 120–150-word passage. 3. Five questions and a separate answer key. 4. A checklist for verifying answers against the passage. 5. A fallback activity without AI access. Use only the passage for the answer key. Keep questions and answers consistent across the materials. State assumptions and flag anything requiring classroom testing. Provide downloadable files if supported; otherwise provide clearly separated text.
What to check: Open the actual files when provided. Check timings, word count, answer support and consistency. An announcement that a file is ready is not a substitute for inspecting it.
C. Codex: implement the quiz
Later, Meera wants an interactive version. When she needs implementation, debugging and technical evidence, a developer-oriented workflow becomes useful.
Using the passage, five questions and answer key below, build a small browser-based practice quiz. Requirements: - One self-contained HTML file. - Works offline without external libraries. - Shows the passage while students answer. - Uses five multiple-choice questions. - Awards one point per correct answer, maximum five. - Shows feedback after submission. - Reset clears answers, score and feedback. - Includes visible labels and keyboard-operable controls. - No accounts, tracking or network requests. Inspect the implementation and run the checks available in your environment. Report which checks actually ran, their results and anything that remains untested. Do not publish or deploy. [Paste the verified passage, questions and answer key here.]
What to check: Try all-correct, all-wrong and unanswered submissions. Test reset and keyboard use. If the environment cannot run a browser, record that gap and test the interface yourself.
This is an optional extension. Completing this edition does not require programming.
4. Choose by the evidence you need
Before starting, finish this sentence: “I will know this task is complete when…”
- Discussion: I can explain the choice and its trade-offs.
- Teaching materials: I have inspected a consistent guide, worksheet and answer key.
- Quiz implementation: I have a working file and evidence of the checks performed.
These are acceptance criteria for this example, not guarantees attached to any mode. Your brief and review still matter.
5. Your ten-minute experiment
- Choose one real task you need to complete.
- Write its completion criterion in one sentence.
- Choose a suitable available starting point: Chat, Work or Codex.
- Provide the relevant information and request one concrete output.
- Inspect the output against your criterion.
- Ask for one specific correction and record what improved.
Expected accomplishment: one reviewed output and a clear reason for choosing that workflow. If the task needs longer, completing a defined first part is enough for this experiment.
6. A quick judgment check
“Explain what an API is to a beginner.” Chat is a reasonable start.
“Prepare a worksheet from my attached lesson notes.” Work is a reasonable start where available; check the source coverage and the output.
“Fix this quiz so resetting clears the previous score.” Codex is a reasonable start when implementation files and an execution environment are available.
The useful question is whether the experience supports the work and evidence you need.
Define the finish. Choose how to work. Inspect what was accomplished.
Next in ChatGPT Complete
#03 — Models, Plans and Limits: Understanding Your Choices. We will separate model capability from subscription access and usage allowances.
Official reference
Product distinctions checked on 15 November 2026 against OpenAI's Use ChatGPT documentation. The case, prompts, experiment and review criteria are original AIYING teaching material. No classroom or software outcomes are claimed here.
