Ultimate ChatGPT Guide: How to Use ChatGPT 5.6 for Beginners (Luna, Terra, Sol)

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OpenAI has completely changed how you should use ChatGPT.

GPT-5.6 introduces three different model levels — Luna, Terra, and Saul — alongside ChatGPT Work, an agent designed to take complete projects and turn them into finished deliverables.

In this video, I test the models on real tasks, compare their results, and show you exactly when to use each option.

You’ll also learn how to write prompts that produce useful, finished results instead of polished filler, how to analyze documents and structured data, and how to make ChatGPT clearly separate facts, assumptions, and missing information.

📌 Timestamps:
00:00 — GPT-5.6 and ChatGPT Work explained
00:30 — Luna, Terra, and Saul model availability
01:26 — Choosing a model based on the task
01:57 — Why the biggest model is not always better
04:25 — Luna vs Terra: meeting notes test
05:52 — Terra vs Saul: multi-document contract analysis
07:22 — The best rule for choosing a model
07:46 — Why most ChatGPT prompts fail
08:41 — The six-part prompting framework
09:44 — Role
10:14 — Task
10:39 — Context
11:12 — Constraints
11:37 — Output format
12:01 — Model choice
12:26 — Reusable prompting framework
12:35 — GoHighLevel platform overview
13:14 — Get the extended 30-day GoHighLevel trial
13:29 — How to improve results in the same conversation
14:04 — Five useful follow-up prompts
15:03 — How to analyze uploaded files properly
15:42 — Resume and job description comparison
16:42 — Working with screenshots without guessing
17:08 — How ChatGPT Work changes prompting
17:55 — Writing outcome-based agent prompts
18:41 — Why agents need a stopping condition
18:56 — The five-part ChatGPT Work framework
20:18 — Analyzing CSV and financial data
21:34 — Defining data rules before analysis
21:49 — Ask questions before recommendations
22:26 — Separate facts from assumptions
23:09 — Use self-critique to improve answers
23:46 — Personality, style, and custom instructions
24:49 — Final model selection guide
26:31 — Practical GPT-5.6 prompting exercise
28:41 — The real GPT-5.6 upgrade
29:12 — How to turn ChatGPT into a working tool

Choose the right model. Provide the context that changes the answer. Set constraints that prevent predictable mistakes. Define exactly what the finished result should look like.

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