• AI can support more than quick ideas — it can help test, challenge, and develop your thinking.
• By asking the right kinds of follow-up prompts, you can use AI as a strategic thinking partner.
• Techniques like SWOTs, oppositional thinking, mapping impacts, and stakeholder analysis help structure reflection.
• Treat AI like a sounding board, not a solution — its real value comes from dialogue, not direction.
• Deeper prompts = deeper insight.

AI Isn’t Just for Idea Dumps

The first time most people use AI for creativity, it’s often to brainstorm:

“Give me 10 ideas for a campaign…”
“What are some ways to solve this problem?”
“List possible business names…”

And yes, it’s great for that. But that’s just the starting point.

If all you’re getting is a list, you’re leaving value on the table.

What happens next — the exploration, reframing, and questioning — is where the real thinking happens.

Here Are 4 Ways to Use AI to Go Deeper

These techniques can be used for strategy, planning, facilitation, or creative work. The key is to slow down and ask AI to think with you.

1. Ask for the Opposing Viewpoint

“What would someone who disagrees with this idea say?”
“What are the risks or weaknesses in this approach?”

Why it helps:

• Challenges your assumptions
• Encourages more robust planning
• Useful in team discussions or pitch prep

2. Use a Familiar Framework (like SWOT)

“Here’s our new idea. Can you help me run a quick SWOT analysis?”
“Summarise the strengths, weaknesses, opportunities, and threats of this plan.”

Why it helps:

• Adds structure to fuzzy thinking
• Gives you something concrete to reflect on
• Makes it easier to bring others into the conversation

3. Map Out Stakeholders or Impact

“Who would be affected by this idea?”
“How might different teams or roles respond?”
“What questions might this raise for our customers?”

Why it helps:

• Helps you anticipate reactions and build buy-in
• Reinforces empathy and user-centred thinking
• Perfect for internal change work

4. Turn the Idea Into Steps or Milestones

“Break this down into 5 practical steps.”
“What would be the first 3 things to try if we wanted to test this idea?”
“Draft a simple action plan for this concept.”

Why it helps:

• Moves thinking from concept to action
• Reduces overwhelm by chunking tasks
• Supports early experimentation and prototyping

The Shift: From Output to Interaction

When you treat AI like a tool, you expect a final answer.

But when you treat it like a thinking partner, you open up a conversation.

The goal isn’t to get a perfect solution. It’s to think more deeply — with help.

Let’s Explore AI Together

At Maine Associates, we help leaders and teams get more from AI — not by rushing to answers, but by making space for better questions.

Want to explore how AI can support your team’s thinking, not just their tasks? Let’s start with a conversation.

• AI tools don’t “know” your situation — they only respond to what you give them.
• Many weak outputs are the result of unclear or missing context, not poor technology.
• You can dramatically improve results by giving your AI tool a simple background brief.
• Framing matters: tell the tool what role it’s playing, who it’s helping, and what you’re trying to do.
• Good prompts are generous with information — not just clever with words.

Why Does AI Sometimes Miss the Mark?

Ever had an AI response that felt:

Too generic?
Off-target?
Like it didn’t “get” what you were trying to do?

Chances are, it wasn’t the tool — it was the lack of context.

AI doesn’t come with a memory of your business, your team, or your preferences. It works with what you give it — and if you don’t give it enough, it fills in the blanks with something average.

What Do We Mean by Context?

In a conversation with a colleague, you don’t have to re-explain:

• What your business does
• Who your customers are
• What tone you like
• Why you’re working on this task in the first place

But with an AI tool, you do.

Think of it like working with a smart intern on day one.
If you don’t brief them, they’ll guess — and get it wrong.

Examples: How Context Changes Output

❌ Basic Prompt:

“Write a welcome email for our new subscribers.”

✅ With Context:

“You’re writing a welcome email for a new subscriber to our monthly business strategy newsletter. They’re mostly time-pressed SME owners who want practical advice in a warm, informal tone.”

Result:
The second version isn’t just better written — it feels closer to your voice and intent.

❌ Basic Prompt:

“Summarise this meeting.”

✅ With Context:

“You’re a team assistant creating a summary of a cross-functional product meeting. Focus on decisions made, questions raised, and next steps. Keep it to three bullet points per topic.”

Result:
Less ramble, more relevance.

What Kind of Context Should You Include?

Here’s a quick framework you can drop into almost any prompt:

1. Who’s the audience?
   • “This is for my client / board / junior team / newsletter subscribers…”
2. What’s the purpose?
   • “I’m trying to clarify, simplify, persuade, or explore…”
3. What role should AI play?
   • “Act like a strategist / editor / facilitator / analyst…”
4. What output do you want?
   • “Summarise in bullet points / give step-by-step actions / suggest three options…”

Try This Prompt Template

“You are [role]. You are helping me [goal]. The audience is [description]. Please format the output as [structure or style].”

Example:

“You are a strategist helping me plan a team workshop. The audience is senior leaders who are curious but sceptical about AI. Please format the output as 3 high-level talking points followed by 2 actionable suggestions under each.”

Why This Matters

When people say “AI isn’t very good,” what they often mean is:

“AI didn’t read my mind.”

But it’s not supposed to.

AI is at its best when it’s treated as a smart assistant with zero context — and given what it needs to succeed.

Better inputs = better outcomes.

Let’s Explore AI Together

At Maine Associates, we help teams build real-world confidence with AI — not through theory, but through hands-on learning.

If your team’s been disappointed by AI results, it might be a context problem — not a capability one. Let’s explore how smarter prompts can unlock better thinking.

• 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.

• ChatGPT is more than a content tool — it’s a versatile thinking partner.
• You can use it to brainstorm, explore decisions, plan strategies, and structure complex ideas.
• Great prompts start with great questions — not perfect wording.
• It’s not about asking AI to do the thinking for you, but to help you think better.
• Use AI in messy, early-stage thinking — not just at the end.

Is ChatGPT Just for Writing?

That’s what most people think when they first try it:

“Can it help me write a blog?”
“Will it draft my LinkedIn post?”
“Could it polish this email?”

But that’s just scratching the surface.

In our work with small teams, founders, and leaders, we’ve found the most valuable use of ChatGPT isn’t writing — it’s thinking.

It’s the prompt you write at the beginning of a project,
not the final polish you paste in at the end.

What Does It Mean to Use AI as a Thinking Partner?

Think of it this way:

• You’re facing a challenge, and you want another perspective.
• You need help sorting through your thoughts.
• You want to frame a problem before solving it.
• You’d love a sounding board that won’t judge or interrupt.

ChatGPT can play that role — not to replace your thinking, but to support it.

Examples of ChatGPT as a Thinking Partner

Here are a few ways to use ChatGPT in your day-to-day thinking:

1. Strategy Planning

Prompt:

“I’m planning the next 3 months of our business. Ask me questions to help structure my thinking.”

Why it works:
ChatGPT can act like a coach — prompting reflection, surfacing gaps, and nudging ideas forward.

2. Decision Support

Prompt:

“Here’s a decision I’m trying to make. Help me list the pros, cons, risks and unknowns.”

Why it works:
Sometimes just seeing your own thinking in a new format gives clarity.

3. Exploring Stakeholder Perspectives

Prompt:

“If I were presenting this idea to [team/board/customer], what concerns or questions might they raise?”

Why it works:
This helps you mentally rehearse objections or feedback before you encounter them.

4. Reframing a Problem

Prompt:

“Here’s a challenge I’m stuck on. What’s another way to look at it? Can you suggest metaphors, frameworks or comparisons?”

Why it works:
Helps unlock creativity — especially when you’re overthinking.

5. Structuring a Messy Idea

Prompt:

“I’ve got a rough outline of something I want to write/build/share. Help me organise it into 3–5 key points.”

Why it works:
Not everyone needs help generating content — sometimes we just need help sorting our thoughts.

Why This Matters

When people say they “don’t have time for AI,” it’s often because they see it as something extra.

But when you use ChatGPT as a thinking partner, it becomes something that saves time, unlocks clarity, and makes complex work feel lighter.

A Few Prompt Starters You Can Steal

• “Help me think through this…”
• “What questions should I be asking about…?”
• “Can you help me simplify this?”
• “What would someone from [perspective] say about this?”
• “What am I overlooking here?”

Let’s Explore AI Together

We help teams use AI not just for automation or content, but for clearer thinking, better collaboration, and deeper conversations.

If you want to build prompt confidence, experiment with new ways of working, or just finally understand how AI can support you —
Let’s start with a conversation.