HIA 210
Learn how to use AI with documents, files, and source materials to get oriented faster, pull out what you need, and produce work you can review and use.
You routinely work with long reports, email threads, attachments, or spreadsheets, and sorting through them can consume hours. HIA 210 teaches you how to understand the material, organize it, and turn it into something useful for the next step in your work.
Tell AI whether the material is a draft, contract, report, policy, spreadsheet, or notes.
Learn when to summarize, extract, compare, assess, improve, or combine source materials.
Quickly compare versions, organize the information, and turn attachments into something you can use.
Move through the material with a clear job at each stage. Select a step to see how the source changes as you work.
Check what the material is and whether it’s reliable before you use it.
This seminar shows you how to inspect source material, get oriented quickly, and use AI without losing the context you need to make a sound judgment.
Uploading a file isn’t enough. You need to know what the material is, what you want AI to do with it, and how to check the result before you use it.
Learn how to check what the material is, how reliable it seems, what role it should play, and what AI might miss before you use the output.
AI may focus too heavily on what appears first, gets repeated, or is presented as fact. Learn how to watch for problems with order, missing information, synthesis, and tone.
Sometimes you need a summary. Often, you need something more specific. Learn when to use each approach.
A transcript, policy, spreadsheet, and rough draft shouldn’t all be handled the same way. Learn how to choose the right approach for the attachment and the work you need done.
AI can miss context, make assumptions, or treat incomplete information as fact. Learn how to catch those problems before you use the output.
HIA 210 draws on extensive work with reports, contracts, transcripts, spreadsheets, policies, and other source material. The seminar focuses on the methods used to understand the material, surface weak assumptions, and produce work that can withstand review.
The time savings depend on the material and the task. The practical gain comes from getting oriented quickly before you decide what deserves closer review.
For a long email chain, for example, AI can help identify decisions, open questions, assigned actions, dates, and unresolved points before you read selectively for confirmation.
HIA 210 teaches you how to use that speed without treating the first AI summary as the final word.
You can. A summary is useful when you only need the basic shape of the material. If the source is long, complex, sensitive, outdated, or full of conflicting decisions, a basic summary can leave out the context you need.
HIA 210 teaches you how to tell AI what the material is, how much to trust it, and what kind of work you need it to do.
Reports, notes, transcripts, policies, drafts, spreadsheets, screenshots, slide decks, email chains, and other source material that already moves through your work.
The file type is less important than knowing how to guide AI once you give it the material.
Then this class is especially relevant.
A source can be useful without being fully reliable. AI won’t automatically know whether something is current, incomplete, politically sensitive, or rough background dressed up in a PDF.
You’ll learn how to inspect the material before using the output.
It can still be useful if source material reaches you through other people’s work.
Teams routinely work from notes, reports, policies, spreadsheets, transcripts, decks, and email chains. If AI is used on that material without clear instructions and review, polished output can still omit context or overstate what the source supports.
Yes. That’s a major reason to take it.
AI can misunderstand source material, miss the context, overstate certainty, or focus on the wrong point.
HIA 210 teaches you how to catch those issues before you use the output.
