• AI adoption isn’t about making big bets — it’s about testing what works in real situations.
• Small, focused experiments reduce risk and build confidence across the team.
• You don’t need a strategy doc to get started — just a clear challenge, a few willing people, and space to learn.
• Think of experiments like sprints: short, structured, and user-centred.
• Teams don’t need AI expertise — they need permission to try.

Not Sure Where to Start? That’s the Point.

The biggest blocker to AI adoption isn’t the tech — it’s the pressure to get it right. Many teams don’t start because they don’t know where to start.

“We’re waiting for the right use case.”
“We don’t want to get it wrong.”
“We’re just watching what others do first.”

That’s exactly why small, structured experiments are so useful. They give you a way to learn as you go — and build confidence through doing, not just talking.

What Makes a Good AI Experiment?

AI experimentation doesn’t need to be complicated — in fact, the best experiments are the simplest.

Here’s what we’ve found works well:

• Real task: Something someone is already doing
• Clear goal: What are we trying to learn or improve?
• Quick cycle: A few days or weeks, not months
• Willing team: Volunteers who are open and curious
• Low risk: Mistakes are fine — that’s the point

It’s not a case study. It’s a test.

How to Choose What to Experiment With

Start by asking:

• “What’s slowing us down?”
• “Where’s the friction?”
• “What’s repetitive or draining that we wish was easier?”

Then try a simple challenge-based structure:

“How might we use AI to help us [insert task] in less time, with less stress, or with better results?”

It might be:

• Drafting internal updates
• Analysing post-event feedback
• Structuring a proposal
• Writing a first version of a policy
• Summarising a call or meeting

If the outcome helps someone think more clearly or work more efficiently, you’re in the right place.

Think Like a Sprint, Not a Project

You don’t need a project plan or roadmap to experiment. You need:

• A rough idea
• A couple of real users
• A short window of time
• A follow-up moment to ask: “What worked? What didn’t? What now?”

If you’ve used design thinking before, this will feel familiar. It’s not about building the perfect solution — it’s about learning quickly, together.

Use AI as a Thinking Partner, Not Just a Tool

In all our experiments, we invite teams to interact with AI tools as collaborators — not as systems to be trained or mastered.

You can prompt tools like ChatGPT with:

• “How could we approach this differently?”
• “What are three different ways we could test this idea?”
• “Can you summarise key insights from our notes so far?”

And then you can ask:

“What do we still need to decide for ourselves?”

That’s where the thinking happens — and that’s where trust grows.

Why Small Experiments Lead to Big Shifts

A single experiment won’t change your organisation. But the impact goes beyond the test itself.

Done well, a small experiment:

• Builds team confidence
• Sparks new ideas
• Makes AI feel real, not abstract
• Gives leaders something to build on

And maybe most importantly:

It turns people from spectators of change into participants in it.

Let’s Explore AI Together

If you’re not sure how to begin, start by running a small, safe experiment that matters to your team.

At Maine Associates, we help teams frame meaningful challenges, choose the right tools, and run practical tests that build confidence.

Our Explore AI Together programme is built around experimentation, not just education.

Want to try something real — and see what happens? Let’s start with a conversation.

• Great AI prompts start with clarity, not cleverness.
• Before asking ChatGPT anything, ask yourself: What’s the job to be done?
• Prompts work best when they reflect your actual goal — not just what you want written.
• Whether you’re exploring, deciding, or creating, the key is to think before you prompt.
• Clarity in = clarity out.

Why Do Some Prompts Work Better Than Others?

If you’ve ever thought:

“This AI output isn’t what I wanted…”
“That’s not how I would’ve said it…”
“It feels generic or off…”

You’re not alone.

But it’s usually not the model — it’s the framing.

Before diving into prompt hacks or fancy structures, start with this question:

What’s the job I want AI to help with?

That simple shift unlocks better results — and better thinking.

Think Like a Designer, Not Just a User

When you approach AI with vague instructions like:

• “Write me a plan”
• “Give me some ideas”
• “Summarise this”

…it’s a bit like asking a colleague to “just do something with it.”

But when you clarify what you’re trying to achieve, the prompt becomes much more useful.

What Does “Job to Be Done” Mean in Prompting?

It’s about the real outcome you want.

For example:

• Do you want ideas you can act on today — or just a list of possibilities?
• Are you trying to structure your thinking — or get an actual draft?
• Do you need help seeing blind spots — or confirming what you already know?

Let’s Look at an Example

❌ Vague Prompt:

“Write a social media strategy for my business.”

✅ Purposeful Prompt:

“Help me outline three different social media strategies based on my goals: brand awareness, lead generation, and community engagement. I’ll choose one and ask you to expand it.”

Why it works:

• It frames the job — to compare strategic approaches.
• It gives context — the desired outcomes.
• It sets up a two-part conversation — instead of a one-shot reply.

Common AI Prompt Jobs We See

Here are a few jobs your next prompt might be doing — whether you realise it or not:

• Clarify my thoughts
• Help me explain this
• Surface blind spots
• Offer structure
• Generate examples
• Reframe a challenge
• Help me compare options
• Find gaps or risks
• Create a first draft

The more intentional you are about the job, the better the outcome.

Try Starting with These Questions

Before prompting ChatGPT or any other AI, pause and ask:

• “What am I really trying to do here?”
• “What would success look like from this prompt?”
• “Is this about speed, support, insight, or structure?”

Then write the prompt as if you’re asking a thinking partner — not a magic machine.

Let’s Explore AI Together

At Maine Associates, we help teams move beyond templates and tools to build confidence, capability, and curiosity with AI.

Our AI workshops and coaching sessions focus on thinking with AI — not just using it.

Ready to write better prompts by getting clearer on what matters? Let’s start with a conversation.