WEBVTT - AI is a terrible brainstormer (until you do this)

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<v Speaker 1>So you ask AI for some ideas because you're doing

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<v Speaker 1>a bit of a brainstorm and it gives you back 10.

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<v Speaker 1>It tells you every one of them is brilliant and

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<v Speaker 1>you're flat out. So you just grab the first one

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<v Speaker 1>that looks half decent. I mean, we've all done it,

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<v Speaker 1>but the catch is that AI drifts towards the average.

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<v Speaker 1>It really pushes back and it's very easy to let

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<v Speaker 1>it do the thinking for you. So you end up

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<v Speaker 1>with ideas that look a lot like everyone else's. In

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<v Speaker 1>today's episode, Neo and I share how we use AI

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<v Speaker 1>as a brainstorming buddy that actually sharpens your own thinking.

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<v Speaker 1>You'll hear the four techniques that we use at Inventium,

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<v Speaker 1>and you're also going to learn how to get AI

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<v Speaker 1>to put them to you so you're the one coming

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<v Speaker 1>up with the ideas. And Neo also shares a bonus

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<v Speaker 1>prompt that makes AI ask something of you before it

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<v Speaker 1>hands you any kind of idea. By the end of

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<v Speaker 1>this episode, you will have a way to brainstorm with

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<v Speaker 1>AI that gives you ideas built for your business, your

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<v Speaker 1>customers and your goals. Welcome to How I AI with me, Dr.

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<v Speaker 1>Amantha Imber and Neo Applin, head of Inventium AI. Each episode,

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<v Speaker 1>we share one practical way to use AI better at

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<v Speaker 1>work and in life. No fluff, no tech jargon, just

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<v Speaker 1>things you can use straight away. So Neo, one of

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<v Speaker 1>the things that we know about good brainstorming practice is

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<v Speaker 1>that you should start solo because as soon as you

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<v Speaker 1>start involving other people or AI, You start to get

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<v Speaker 1>influenced and taken off in all these different directions. So

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<v Speaker 1>I'm curious, what are the problems that you're seeing people

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<v Speaker 1>encounter through ineffective AI use for creative problem solving?

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<v Speaker 2>Well, for one, AI thinks every one of your ideas

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<v Speaker 2>is awesome, doesn't it? Yeah, well, mine are, I think. Yeah, well, absolutely.

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<v Speaker 2>Maybe you are awesome on ideation. Certainly my AI thinks

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<v Speaker 2>that everything I do is a great idea. It doesn't

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<v Speaker 2>usually push back out of the way, out of the gate.

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<v Speaker 2>So therefore, that is a problem. The other problem you've

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<v Speaker 2>got is we as humans are busy slash lazy. And

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<v Speaker 2>so when AI gives us a couple of brainstorming things,

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<v Speaker 2>oh great, they're awesome, and then we'll just pick them.

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<v Speaker 2>There's a third problem as well, which is AI kind

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<v Speaker 2>of tends to go towards the average because it's got

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<v Speaker 2>all this knowledge and all those kind of things, but Also,

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<v Speaker 2>the kind of ideas that I would get with the

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<v Speaker 2>kind of problem using AI, you're going to get the

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<v Speaker 2>same kind of ideas out of AI as well. And

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<v Speaker 2>you are not me. Your business is not our business.

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<v Speaker 2>Everyone's quite different. And our needs, our customers, our goals

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<v Speaker 2>are really different. And so just getting AI to do

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<v Speaker 2>the brainstorming is really generic and you won't actually get

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<v Speaker 2>something that's really going to move the dial. It'll be

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<v Speaker 2>probably better than you just not doing much. But if

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<v Speaker 2>you really wanna get a great brainstorming session, there are

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<v Speaker 2>better ways to use AI.

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<v Speaker 1>Okay, so tell me, what are your top tips for

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<v Speaker 1>using AI as an effective brainstorming buddy?

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<v Speaker 2>The first is, and this is kind of principles for everything,

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<v Speaker 2>you need to tell AI what the whole point is

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<v Speaker 2>and what you're trying to achieve. So the context really

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<v Speaker 2>matters here. So if you've got no ideas, but you've

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<v Speaker 2>got a goal, then tell it the goal that you've got. Also,

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<v Speaker 2>I feel that most problems when we're doing a brainstorm,

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<v Speaker 2>it has an audience. There is a reason why we're

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<v Speaker 2>doing it. We're doing things for people. We don't work

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<v Speaker 2>for robots, maybe yet, but certainly we do things for people.

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<v Speaker 2>So how do I do this thing for this group,

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<v Speaker 2>for this outcome, for these people? and have a good

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<v Speaker 2>chat with AI so it knows why you're doing that. Also,

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<v Speaker 2>if you've tried things before, you've got a kind of

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<v Speaker 2>like a limitation, all those kind of problems you might

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<v Speaker 2>be dealing with in your brain, get them into AI.

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<v Speaker 2>And we've mentioned this plenty of times before, dictate to

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<v Speaker 2>your AI. It's easier to get this information out. So

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<v Speaker 2>tell it your goals, tell it your audiences, but then

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<v Speaker 2>the most important thing is don't get it to brainstorm.

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<v Speaker 2>The reason for that is it's going to give you

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<v Speaker 2>10 ideas. Now, maybe you'll realize that eight are terrible

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<v Speaker 2>straight out of the gate and you might go, yep,

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<v Speaker 2>two and four are pretty good and you can have

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<v Speaker 2>a conversation on that. That's not bad. That's fine. But

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<v Speaker 2>I prefer going a little bit deeper on that. And

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<v Speaker 2>what it is, is I'm using AI often instead of

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<v Speaker 2>just coming up with the ideas for me. It's actually

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<v Speaker 2>a brainstorming buddy to help me come up with the

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<v Speaker 2>ideas and then we have a conversation about it. And

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<v Speaker 2>the ways that I get it to do, I've got

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<v Speaker 2>four techniques that I use in my brainstorm buddy that

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<v Speaker 2>we use at Inventium. And we're happy to tell you

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<v Speaker 2>what they are now if you're interested.

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<v Speaker 1>Let's do it. Yeah.

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<v Speaker 2>All right. So a constraint. So effectively get AI to

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<v Speaker 2>put a few constraints in here to make you think

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<v Speaker 2>a bit differently. So instead of having $ 20 million to

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<v Speaker 2>make a movie, what if you had $ 10, 000 to make

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<v Speaker 2>a movie. Those kind of constraints come in. And we've

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<v Speaker 2>seen that often constraints increase creativity because you wouldn't find

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<v Speaker 2>another way around it.

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<v Speaker 1>And there's so much science to back this up.

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<v Speaker 2>So I really love this one. But don't get the

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<v Speaker 2>constraint put on the AI because get it to suggest

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<v Speaker 2>a few constraints for you based upon the problem you've got.

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<v Speaker 2>So it might be budgetary, it might be time, it

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<v Speaker 2>might be the types of people that you've got to

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<v Speaker 2>be able to work with you on the team. It

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<v Speaker 2>might be the resources you've got. It might be, it

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<v Speaker 2>could be you can't email and you've got to use

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<v Speaker 2>carrier pigeon. I don't know. Get it to suggest some

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<v Speaker 2>interesting constraints that might get you ideating. And then you

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<v Speaker 2>might go with the constraint, then you use AI, not

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<v Speaker 2>as to come up the ideas with you, but more

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<v Speaker 2>of an idea bouncer buddy. So what if I did this?

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<v Speaker 2>How do you reckon that would go? Get it to

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<v Speaker 2>go do some research for you. Go search the internet.

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<v Speaker 2>Go and find out someone's done something on that before,

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<v Speaker 2>but don't get it to do the thinking for you.

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<v Speaker 2>Get it to do the research and validation for you

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<v Speaker 2>while you're kind of leading the thinking here.

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<v Speaker 1>Okay. What else do you do?

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<v Speaker 2>Other ones.

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<v Speaker 1>Okay.

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<v Speaker 2>Another one is an odd analogy. So if you can

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<v Speaker 2>kind of see the kind of problem you've got, uh,

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<v Speaker 2>get AI to pose something which might be a little bit, uh,

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<v Speaker 2>wacky for you. So, um, instead of how would I, um,

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<v Speaker 2>how would I get this new strategy out? And I'm

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<v Speaker 2>going to really engage my team and, and make them

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<v Speaker 2>feel awesome about this new strategy. Um, maybe AI might

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<v Speaker 2>suggest something like, well, what would Ikea do if it

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<v Speaker 2>was going to give this strategy as instructions? And then

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<v Speaker 2>how do you communicate that as something you could explain

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<v Speaker 2>it to people? Um, How would you, instead of having

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<v Speaker 2>this as a sales problem you've got, it was a

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<v Speaker 2>video game. What would you actually look at to be

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<v Speaker 2>able to kind of gamify this or what would the

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<v Speaker 2>characters in the video game be? Now, this is not

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<v Speaker 2>for you to come up with. AI will come up

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<v Speaker 2>with these odd analogies and then it's just other ways

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<v Speaker 2>for you to start to think about your problem in

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<v Speaker 2>different ways.

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<v Speaker 1>I love this because at Inventia moment, we have run hundreds,

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<v Speaker 1>if not thousands of ideation workshops and pre-AI, that was

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<v Speaker 1>a really common technique that we used, where we got

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<v Speaker 1>people to put themselves in someone else's shoes who was

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<v Speaker 1>really different to them.

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<v Speaker 2>Absolutely. And this is then a completely different market or

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<v Speaker 2>a different place that you've worked in as well. But

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<v Speaker 2>it's you coming up with these other ideas or the

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<v Speaker 2>other things that you don't think of. By definition, AI

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<v Speaker 2>is good at posing those in. Okay.

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<v Speaker 1>What's the next one?

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<v Speaker 2>Number three is inversion. So, inversion is effectively what if

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<v Speaker 2>Instead of it succeeding, it was a spectacular failure. And

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<v Speaker 2>what would make it a failure? And so you might

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<v Speaker 2>have some ideas. Okay, if it's a really big failure,

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<v Speaker 2>then I would do X, Y, and Z. And you

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<v Speaker 2>might find by actually planning the failure, you might have

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<v Speaker 2>some ideas on how to make that a success. It's

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<v Speaker 2>a different way for your brain to think. And then,

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<v Speaker 2>of course, you can have a chat with your brainstorm

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<v Speaker 2>buddy to be able to go, well, if this was

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<v Speaker 2>a problem, how big of a problem would this be?

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<v Speaker 2>It's also really interesting with the constraints as well. Constraints

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<v Speaker 2>plus failure is fun.

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<v Speaker 1>Yes. Also known as a premortem as well. Again, something

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<v Speaker 1>that we've done quite a bit at Inventium when we've

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<v Speaker 1>been looking at new ideas. We will run a premortem

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<v Speaker 1>facilitated by a human, but the joy is Now you

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<v Speaker 1>can just do this on your own and get your

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<v Speaker 1>AI to facilitate you through it.

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<v Speaker 2>And then you can throw ideas in with that. How

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<v Speaker 2>big of a problem do you think that would be?

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<v Speaker 2>Do research on what the impact could be with this market,

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<v Speaker 2>this segment or whatever, and it can get some science

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<v Speaker 2>behind that for you. So rather than you just sitting

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<v Speaker 2>in a room bouncing ideas off with yourself, which is

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<v Speaker 2>not fun, AI then becomes that buddy to help you

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<v Speaker 2>with the innovation part. Number four, are you ready for

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<v Speaker 2>the last one?

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<v Speaker 1>I am.

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<v Speaker 2>Hard trade-offs. Sometimes we think we should and could do everything,

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<v Speaker 2>but instead, we've always got things that can be trade-off.

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<v Speaker 2>Budget's a really easy one. Instead of having $ 5, 000 budget,

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<v Speaker 2>you've only got a $ 2, 000 budget. What is the importance?

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<v Speaker 2>Or if you can have more budget, but you have

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<v Speaker 2>fewer people. So if you're AI can pose to you

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<v Speaker 2>different trade-offs, you might find what's really key at the

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<v Speaker 2>thing you're trying to achieve or the problem you're trying

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<v Speaker 2>to solve or the thing that your customers, clients, or

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<v Speaker 2>your teammates need in that thing you're trying to innovate

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<v Speaker 2>or to create or to brainstorm. and so the hard

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<v Speaker 2>trade-off often gets you to think in different ways of

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<v Speaker 2>like that's important that's not and so we can really

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<v Speaker 2>hone in on what's important and then of course with

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<v Speaker 2>all of these then you've got a conversation with an

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<v Speaker 2>ai to say is that good is that bad is

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<v Speaker 2>that going to work all those kind of things um Yeah,

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<v Speaker 2>so there's the four different categories I'd look at, and

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<v Speaker 2>there's a bonus one I'll give you at the end

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<v Speaker 2>if you're interested.

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<v Speaker 1>Oh, I always love a bonus.

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<v Speaker 2>What is the bonus one? The bonus is tell AI,

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<v Speaker 2>and we've got this in our brainstorm buddy.

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<v Speaker 1>Oh, you mean our brainstorm buddy skill that you use

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<v Speaker 1>with our clients?

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<v Speaker 2>That's the one, yes.

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<v Speaker 1>Yes, lovely.

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<v Speaker 2>So we cost money. In other words, like sometimes you

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<v Speaker 2>don't know and you think, what about this and this?

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<v Speaker 2>Or what do you think about X and Y? And

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<v Speaker 2>it's not unreasonable to ask a human being, look, I

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<v Speaker 2>can't pick between these two. But brainstorm buddy won't just go, yeah, fine,

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<v Speaker 2>I'll give you that. it costs everything you ask of it.

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<v Speaker 2>In other words, it'll say, all right, I can give

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<v Speaker 2>you five, but you need to tell me more about

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<v Speaker 2>your client, or you've got to tell me more about

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<v Speaker 2>what you're trying to achieve with this particular thing. Because

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<v Speaker 2>we really quite often get into this point where we're

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<v Speaker 2>having a conversation with it, and then we will get

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<v Speaker 2>sucked into the void of AI helping us to do

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<v Speaker 2>all the things. Don't get sucked in the void. And

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<v Speaker 2>the way to do that is get AI to cost

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<v Speaker 2>everything that it just delivers to you. So If you say, look,

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<v Speaker 2>I think there might be three options here. Can you

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<v Speaker 2>give me three options to get started with? It might

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<v Speaker 2>go fine, I'll give you the three, but you need

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<v Speaker 2>to tell me more about what good looks like for

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<v Speaker 2>this customer, client or problem. And so how do you.

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<v Speaker 1>prompt the AI to do that for you?

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<v Speaker 2>Yeah, it takes a little bit, but basically, you've got

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<v Speaker 2>to be clear. Your job is to help me, but

0:11:49.450 --> 0:11:52.510
<v Speaker 2>not to do the work for me. And so if

0:11:52.590 --> 0:11:55.809
<v Speaker 2>I do get stuck, absolutely help me get unstuck from this,

0:11:55.850 --> 0:11:58.470
<v Speaker 2>but don't do the thinking for me. And so instead,

0:11:58.809 --> 0:12:01.809
<v Speaker 2>try to get me to think along a line, and

0:12:01.830 --> 0:12:03.490
<v Speaker 2>then you can understand more about the line for you

0:12:03.510 --> 0:12:06.120
<v Speaker 2>to then ideate or give me some next steps on.

0:12:06.820 --> 0:12:09.280
<v Speaker 2>So it's more about I need to set at least

0:12:09.340 --> 0:12:11.880
<v Speaker 2>a step in the direction before it then opens up

0:12:11.920 --> 0:12:15.320
<v Speaker 2>the next couple of options in that direction. Awesome.

0:12:15.520 --> 0:12:17.559
<v Speaker 1>I love that because it's kind of like a guardrail

0:12:17.660 --> 0:12:20.579
<v Speaker 1>against human laziness that you've built into that skill.

0:12:20.920 --> 0:12:22.839
<v Speaker 2>Yeah. And you can put this within the work you

0:12:22.880 --> 0:12:27.590
<v Speaker 2>do because often with anything, AI will want to deliver

0:12:27.690 --> 0:12:30.070
<v Speaker 2>you the work and sometimes deliver stuff before you even

0:12:30.170 --> 0:12:32.510
<v Speaker 2>ask for it. And so here's a way for you

0:12:32.550 --> 0:12:34.650
<v Speaker 2>to say, no, no, no, no, you are not going

0:12:34.690 --> 0:12:37.050
<v Speaker 2>to do that. I need to be kind of leading

0:12:37.150 --> 0:12:39.140
<v Speaker 2>this I don't mind if you do some of the legwork,

0:12:39.179 --> 0:12:41.020
<v Speaker 2>but I kind of need to lead it. And forced

0:12:41.120 --> 0:12:43.740
<v Speaker 2>me to lead it, forced me to know what the

0:12:43.780 --> 0:12:45.860
<v Speaker 2>customer and client knows first. So it's a way to

0:12:45.880 --> 0:12:46.120
<v Speaker 2>do that.

0:12:46.720 --> 0:12:50.620
<v Speaker 1>Awesome. Neo, thank you for sharing these very practical tips.

0:12:50.710 --> 0:12:54.450
<v Speaker 1>And hopefully our listeners' creative juices are now flowing, or

0:12:54.470 --> 0:12:56.250
<v Speaker 1>at least they will be when they try out these

0:12:56.410 --> 0:13:00.929
<v Speaker 1>great strategies. If you enjoyed this episode, I reckon you

0:13:00.970 --> 0:13:05.300
<v Speaker 1>will really love an interview that I did with Exploding

0:13:05.380 --> 0:13:09.500
<v Speaker 1>Kittens CEO, where he talks about how he has a

0:13:09.800 --> 0:13:14.800
<v Speaker 1>walking with AI ritual to unlock great ideas. I absolutely

0:13:14.920 --> 0:13:17.380
<v Speaker 1>loved this use case for AI, and you can find

0:13:17.470 --> 0:13:19.329
<v Speaker 1>a link to that episode in.

0:13:19.270 --> 0:13:19.910
<v Speaker 2>The show notes.

0:13:20.690 --> 0:13:23.709
<v Speaker 1>How I AI was hosted by me, Amanda Imber and

0:13:23.830 --> 0:13:26.370
<v Speaker 1>Neo Applin. A big thank you to Martin Imber, who

0:13:26.410 --> 0:13:30.200
<v Speaker 1>does our sound editing, and Jem Rubio for production support.

0:13:30.540 --> 0:13:33.459
<v Speaker 1>And thank you to John Kilby, who composed the theme music.