Session 2 of 6. An interactive session.
UNLOCKING GEN Ai

What is possible with AI. Ten input and output combinations. Hands on the modes.

FacilitatorDr Tiffany Gray
CohortIPAA Victoria·20 participants
Time11:00 to 12:00·60 min
DateWednesday 13 May 2026
People lead·AI follows
Session 2 · Introduction

Explore what GenAI can actually do.

This module is about exploring what Generative AI can actually do across a range of everyday tools and formats.

Rather than reading about features. You will test them. You will use text, voice, images, code, files and web searches. Sometimes as input. Sometimes as output. Each task is quick. Together they reveal the variety of ways you can interact with GenAI.

The goal is to understand each mode. And to start thinking about how different combinations can support real work, shape smarter workflows and lay the foundation for building tools like agents.

Session 2 · Purpose

Why we are doing this.

You are not just learning what GenAI can do. You are beginning to ask. Where could this help in my work. How could I use this differently to get better results.

Purpose 01
Hands-on familiarity

Build hands-on familiarity with how GenAI works across different input and output formats.

Purpose 02
Strategic thinking

Encourage strategic thinking about which combinations are most useful for different types of work.

Purpose 03
Ideas for AI improvement

Stimulate ideas for how GenAI can improve decision making, reduce effort or enhance outcomes.

Purpose 04
Foundation for agents

Lay the groundwork for building customised workflows or agents aligned to your role or team needs.

Session 2 · Learning Objectives

By the end of this module.

Three things you will be able to do.

Objective 01
Identify and test combinations

Identify and test a range of GenAI input output combinations using everyday tools. Text. Voice. Image. File. Code. Web.

Objective 02
Recognise the combinations

Recognise how different modes can be combined to support real workflows, projects or decisions.

Objective 03
Generate practical ideas

Generate early ideas for practical use cases or workflows where GenAI could improve speed, clarity or quality of outcomes.

Before you start · The map

Ten combinations. One thread.

We are going to work through every one of these in a single AI conversation. Each is a different way to put information in and get something useful out. By the end of this session you will have tested all ten.

01
Text → Text
Generate. Summarise. Problem-solve.
02
Text → Image
Turn ideas into visuals.
03
Text → Code
Get working code written.
04
Text → File
Make outputs downloadable.
05
Voice → Text
Speak. Get text back.
06
Image → Text
Explain what is in a picture.
07
Web → Text
Research from the live web.
08
File → Text
Analyse a document you upload.
09
Voice → Voice
Talk through ideas with AI.
10
Code → Text
Explain code in plain language.
Before you start · Two things to know

Two heads-ups.

A small convention you will see in every prompt. And a real-world reality you will hit. Worth naming both before we touch a keyboard.

Heads-up 01 · The double slash
// is just my dot point.

You will see // at the start of every line in every prompt today. It is not magic. It is not a programming command. It is how I organise my prompts so each idea is on its own line. AI reads it the same as a normal sentence. Use it. Or do not. Your choice.

// Set the context for what I am about to ask. // Tell AI who I am. // Tell AI what I want it to do.
Use it as a visual anchor · Helps you scan long prompts
Heads-up 02 · Your tenant
Some buttons may be missing.

Your IT team has shaped your Copilot. Some of the ten combinations may be turned off on your tenant. Voice-to-voice. File uploads above a certain number. Image generation. Web search. If you cannot find a feature. It is not you.

If a button is missing. Make a note. Send a question to whoever runs your Copilot. "Is this feature available on our tenant?" Most things can be switched on if there is a use case.
Workarounds exist for almost every gap · We will improvise as we go
Before you start · Organise your work with AI

Name your chat.

A small habit. Big payoff. AI keeps every conversation you have. The chats with names are the ones you can find again. The ones without names are the ones you lose. Start naming yours today.

For today, name your chat
Session 2. Unlocking GEN Ai.
Open Copilot. Start a new chat. Set the name before you type anything else.
Before you start · Set the context

Open one AI thread. Paste this in.

We are going to work through all ten combinations in a single conversation. Your AI tool remembers what you have done across the thread. That is part of what we are testing. Open Copilot or your tool of choice now. Paste this prompt to set the scene. Then move to the first combination.

The context prompt
// I’m in a workshop called GEN Ai AT WORK Foundations. This is Session 2. Unlocking GEN Ai. In this session I am learning about ten input and output combinations that I can use in my work with AI: 1. Text → Text 2. Text → Image 3. Text → Code 4. Text → File 5. Voice → Text 6. Image → Text 7. Web → Text 8. File → Text 9. Voice → Voice 10. Code → Text After each one I’ll reflect on how it could fit my role as a [ROLE TITLE] at [ORGANISATION NAME] [URL]. Stay with me across this thread. At the end I’ll ask you to summarise what we have covered as a resource I can take away. Tell me you understand and then we will begin.
Combination 01 of 10 · Hands on

Text → Text.

The prompt
// I’m trying to [GOAL] and I’m struggling with [OBSTACLE]. List all the ways you can help.

Function

  • Generates, extends, summarises or problem-solves using only text
  • The most common and versatile input-output mode
  • Ideal for drafting, exploring ideas and asking for step-by-step support

Possible Applications

  • Drafting documents or communications
  • Brainstorming strategies or workarounds
  • Outlining plans or step-by-step instructions

Reflections

  • What is one task in your role you could brief AI on this way?
  • Where would this save you the most time in a typical week?
Combination 02 of 10 · Hands on

Text → Image.

The prompt
// Create a book cover for me: I help [AUDIENCE] do [RESULT], and I’m writing a book called “[TITLE]”.

Function

  • Turns written ideas into visual outputs
  • Moves you from abstract thinking to concrete visualisation
  • Helps quickly communicate a concept or story

Possible Applications

  • Concept art, slides or diagrams
  • Mockups for proposals or campaigns
  • Visioning and storytelling tools

Reflections

  • What in your work might land better as a visual than as more words?
  • Where do you currently wait on design support or settle for stock images?
Combination 03 of 10 · Hands on

Text → Code.

The prompt
// create a visual sales page for my book in html code

Function

  • Translates natural language into working code or scripts
  • Enables non-coders to prototype tools and workflows
  • Useful for technical enablement and automation

Possible Applications

  • Creating dashboards, calculators or automations
  • Enhancing data workflows
  • Rapid prototyping or learning technical concepts

Reflections

  • Where in your role does a small bit of code or a simple page sit between you and what you need?
  • What might you build for yourself or your team that you cannot today?
Combination 04 of 10 · Hands on

Text → File.

The prompt
// Can you please provide this as a downloadable file?

Function

  • Converts AI-generated content into downloadable formats
  • Supports creating shareable assets directly from chat
  • Useful for packaging outputs like reports, spreadsheets or scripts

Possible Applications

  • Exporting code, summaries or data into a ready-to-use file
  • Creating templates or documents from scratch
  • Sharing work outputs with colleagues or clients

Reflections

  • What documents do you produce regularly that could come out of AI as a finished file?
  • Which file format would save you the most rework if AI generated it directly?
Combination 05 of 10 · Hands on

Voice → Text.

The prompt (spoken)
// Give me 3 more things to consider for launching this book.

Function

  • Captures thinking, brainstorming or dictation via speech
  • Supports hands-free interaction
  • Great for working through ideas in real time

Possible Applications

  • Voice notes turned into action steps
  • Quick idea capture
  • Low-friction input for those who prefer speaking over typing

Reflections

  • When in your day would speaking to AI work better than typing to it?
  • What captures or notes do you currently lose because typing is too slow?
Combination 06 of 10 · Hands on

Image → Text.

The prompt (after uploading an image)
// Can you explain this image to me?

Function

  • Interprets and explains uploaded visuals
  • Acts as a visual analyst, coach or simplifier
  • Translates images into useful written insight

Possible Applications

  • Clarifying complex diagrams or charts
  • Reviewing presentations
  • Summarising visual data

Reflections

  • Where in your role do you have to interpret a chart, slide or screenshot for someone else?
  • What complex visual could you upload tomorrow and ask AI to translate?
Combination 07 of 10 · Hands on

Web → Text.

The prompt
// Summarise the biggest AI news from the past week and how it may apply to my role. provide valid sources so I can review them.

Function

  • Searches the web for current, real-time information
  • Acts like a research assistant or briefing engine
  • Useful for updates, summaries and environmental scans

Possible Applications

  • Market scanning or competitor research
  • Prep for meetings or presentations
  • Staying informed on emerging topics

Reflections

  • What ongoing scan or briefing in your role could AI prepare for you?
  • What sources would you tell AI to prioritise or avoid?
Combination 08 of 10 · Hands on

File → Text.

The prompt (after uploading a file)
// Analyse this file for me.

Function

  • Reads, summarises or analyses documents and structured data
  • Works well with PDFs, spreadsheets or long-form content
  • Quickly surfaces insights or summaries

Possible Applications

  • Summarising reports or policies
  • Extracting insights from HR or project data
  • Spot-checking for errors or trends

Reflections

  • What document on your desk right now could you upload and ask AI about?
  • What routine analysis takes you hours that AI could surface in minutes?
Combination 09 of 10 · Hands on

Voice → Voice.

The prompt (spoken)
// Whenever you would like to chat it through.

Function

  • Enables full conversational interaction with AI using speech input and spoken output
  • Supports hands free, natural dialogue
  • Useful for exploring ideas in real time or simulating conversational coaching, briefing or thinking aloud

Possible Applications

  • Talking through decisions or priorities
  • Exploring options or generating ideas in a coaching-style dialogue
  • Accessibility support or multitasking input and output

Reflections

  • What in your role would benefit from talking to AI like a thinking partner?
  • Where do you do your best thinking out loud? Could AI sit in that conversation?
Combination 10 of 10 · Hands on

Code → Text.

The prompt
// Can you tell me what this code is doing? import pandas as pd # Data: mean salary by gender and employment type data = { 'Employment Type': ['Casual', 'Fulltime', 'Leave', 'Part-time'], 'Female': [71057.33, 78329.90, 64359.00, 73821.83], 'Male': [56140.86, 57060.69, 65061.10, 58410.83], 'Unknown': [61626.00, 76664.40, 66638.22, 46563.30] } mean_salary_by_gender_employment = pd.DataFrame(data) mean_salary_by_gender_employment.set_index('Employment Type', inplace=True) print(mean_salary_by_gender_employment)

Function

  • Explains code in plain language
  • Helps with reviewing, learning or collaborating across technical boundaries
  • Makes code more accessible for non-developers

Possible Applications

  • Code review
  • Learning technical skills
  • Debugging or improving existing tools

Reflections

  • Where in your work do you see things written in technical language you need translated?
  • Who around you writes code, formulas or scripts you sometimes need to interpret?
Wrapping up · Same thread

Close the thread. Take the summary.

Go back to the same AI thread you have been working in. Paste this prompt. Your AI has the context of everything you have just done. It will ask you what stood out. Answer honestly. Then it will offer a clean summary of the ten combinations as a take-away resource. Save the chat or copy the summary.

The wrap-up prompt
// We’ve just worked through ten input and output combinations together. Before you summarise anything ask me three things. What stood out for me. What surprised me. Which combination I’m most likely to try in my role this week. Ask me the questions 1 at a time and Wait for my answer before moving to the next question. Then ask whether I’d like a comprehensive summary of the ten combinations as a take-away resource. If I say yes, give it to me in a clean structured format I can save and refer back to.
Now · 10 minutes · Groups of 4

What are you taking back.

The question

Which combination stood out for you. Where in your role could it fit. What is the first thing you would brief AI to do.

01
Round the table on combinations

About two minutes each. Which combination from today stood out and why.

02
Where in your role

Name a specific place in your work where this combination could land. Be concrete.

03
What you would brief AI to do

Sketch the prompt. What would you tell AI to do. Bring it back to the room.

Time10 minutes
Groups5 groups of 4
Bring backOne combination. One place. One prompt.
Wrapping up · What you have done in 60 minutes

What you have done.

More than a tour. You now have working knowledge across every mode AI offers. And the start of a habit you can carry into the rest of the day.

Done 01
Tested all ten combinations

Text. Image. Code. File. Voice. Web. You have used every mode AI offers.

Done 02
Reflected on role fit

For every combination you named where it could land in your specific work.

Done 03
Built one AI thread

A single conversation that holds the whole session. Your AI knows the context now.

Done 04
Generated a take-away summary

A clean structured resource of the ten combinations. Yours to save and refer back to.

Done 05
Named your first chat

A small habit with a big payoff. The conversations you name are the ones you can find again.

Done 06
Heard what stood out

Your peers brought back the combinations they would try first. You leave with their picks too.