HIA 320
Tailor ChatGPT to your work so it starts with better context, keeps workstreams organized, and produces more consistent output.
ChatGPT’s default setup can leave useful context unused. HIA 320 shows you how to tailor it to your work so it starts with better context, produces more consistent responses, and keeps different workstreams separate.
Use instructions, memory, and personalization settings so ChatGPT gives you responses that better reflect your role and preferences.
Use projects, files, and project instructions to keep different types of work organized and separate.
Learn how models, temporary chats, data settings, and Custom GPTs affect how ChatGPT works.
Select a setting to see what it controls and how it changes the context ChatGPT uses before producing work.
Give ChatGPT clear information about your role, priorities, and preferences before you ask it to produce work.
This seminar is for professionals who want better results from ChatGPT without needing technical knowledge or coding skills.
Learn how to give ChatGPT better context before you ask it to produce work, so the responses are more useful from the start.
Give ChatGPT clear information about your role, priorities, and preferences so it has better context before you start asking for help.
Learn what ChatGPT should remember, what should be removed, and when memory should not be used.
Use project files and instructions to keep each area of work organized and make ChatGPT more useful.
Compare how different models handle tasks so you know when switching models may improve the result.
Learn when to use temporary chats and how to manage privacy, data, and memory settings for more sensitive work.
Learn what Custom GPTs are, when they may be useful, and why they are not the first step for most users.
HIA 320 is built from hands-on use of ChatGPT in professional workflows. You’ll see how settings, memory, projects, and personalization change the context ChatGPT uses before it produces work.
No. You can attend with free or paid ChatGPT access.
Feature availability varies by plan, account, and workspace, so the exact controls you see may differ. The seminar focuses on how the major configuration areas work and how to decide which ones are useful for your work.
If a feature is not available in your account, you can still understand what it does and whether it would justify a different plan or workspace setup.
This seminar covers the settings and features that shape how ChatGPT works for you.
We’ll look at custom instructions, memory, personalization, projects, project files, temporary chats, model choices, privacy settings, and the difference between everyday ChatGPT setup and Custom GPTs.
You’ll understand which settings affect the response, what they change, and how to configure ChatGPT so it supports the way you work.
Yes, if you set it up with the right guidance.
ChatGPT will not automatically know your tone, role, standards, or preferences. Without useful guidance, its responses can drift toward generic phrasing and choices that do not fit your work.
This seminar teaches you how to use custom instructions, memory, and personalization settings so ChatGPT has a better sense of how you communicate and what kind of output you want.
Because organization changes which context ChatGPT can use for a task.
Projects can keep related chats, files, and instructions together so a workstream has a clearer context boundary. That is useful when client work, research, planning, and other ongoing tasks should not be mixed together.
HIA 320 shows you how to structure those workspaces and decide what belongs in each one.
Yes, but only at a high level.
Custom GPTs can be useful, but they are more complex than basic ChatGPT setup. This seminar will explain what they are, when they may make sense, and how they are different from configuring your own ChatGPT settings.
We will not teach Custom GPT building in this seminar.
HIA offers custom GPT and AI tool builds separately for teams and workflows that need something more structured than personal setup.
No. You do not need coding knowledge to configure the features covered in HIA 320.
The work is deciding what context should persist, how projects should be separated, which controls fit the task, and where added structure is useful. Overly rigid instructions can add friction without improving the result.
This seminar is designed for professionals who want a deliberate ChatGPT setup without turning ordinary configuration into a development project.
