Rob Howard – AI Idea Pipeline

Inside our AI Incubator program, we coach our students through every step of this AI Idea Matrix to build Unique AI processes and products in as little as 30 days (that can’t be copied by the “Big Tech Guys”).

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Rob Howard – AI Idea Pipeline

FOR AI ENTHUSIASTS WHO WANT TO MOVE FASTER:

Stuck on finding your best AI Idea?

Then you might be focused on the wrong part of the AI Idea Matrix:

Inside our AI Incubator program, we coach our students through every step of this AI Idea Matrix to build Unique AI processes and products in as little as 30 days (that can’t be copied by the “Big Tech Guys”).

If you’re like any of our students, then, you might be thinking a couple things:

?️ Traditional Software or Tools: 

? “Hmm…this would be an added benefit, if it’s even used at all. It matters, but it’s not the priority. Probably not the first thing to focus on, but it feels easier to focus on because I’m more familiar with it”

? Platform and User Interface:

? “These are important…but not the most important because “function” usually matters more than the form of a thing. Except…sometimes a better design does make some products win – I mean, that’s one of Apple’s advantages, right?”

? Your Artificial Intelligence Model:

? “Obviously important…but there are so many options out that I know and don’t know about. Where do I even begin? Nothing I build will stand out if I just rely on ChatGPT…there’s gotta be more to it”

? Unique Subject Matter Expertise:

? “I know what’s in my head matters, but does it matter more than the AI part? Hard to say. Everything kinda works together doesn’t it?”

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Or…before seeing that chart, you might have already had some of this going through your head:

? “How do I come up with a good idea?”

? “Will my idea be outdated by the time I build it?”

? “How can I make sure ideas I come up with will actually be worth my time?”

? “Sometimes I get excited, but then I feel lost in where to start and end up doing nothing…”

If you’ve thought anything remotely similar to this, then you’re not alone.

It’s a problem I’ve seen literally hundreds of our students inside the AI Incubator face and I call it:

The AI Innovator Dilemma:

You will go insane trying to
solve everything all at once

HARD MODE: Every part of the AI Idea Matrix matters, and ALL of the questions you have also matter. However, trying to solve them all at once is like turning up the difficulty level of a video game from a “normal” difficulty level to hard impossible.

EASY MODE: To simplify your life, remember that this is a problem, and like every problem you’ve ever come across before, it gets easier when you do two things:

I – Focus on one step at a time.

II – Seeing the “mini-steps” inside one step makes it even easier.

I – Focus on step one (for now):

Your Unique Expertise

Your unique expertise is the part that’s MOST responsible for making your AI idea unique.

Think about it.

Imagine opening two ChatGPT windows right now and then you gave them two different prompts:

Sure, this is an obvious oversimplification but the fact remains that the output from Prompt 2 would be far better than the output from Prompt 1. Not perfect, but still better.

The Point: Your Unique Context Expertise Matters.

Noteworthy: This is true whether you’re using AI to write an email or you’re creating a more sophisticated AI process or product.

Finer Details: The thing we need to understand is how to filter through your years or decades of professional and life experience to make sure you’re finding the context that would make your AI idea so specific, that

(1) it’s not worth it for the big AI players to copy your stuff and

(2) it’s still widely applicable enough to solve a valuable problem for you (and others if you want to commercialize your idea).

Takeaway: You need to “slice” and “structure” the right parts of your expertise. That’s how you get the “raw material” for your AI ideas.

II – “Mini-steps” to make this easier:

The 3-step AI Idea Cycle
for structuring your expertise and more…

The AI Idea Cycle was born out of the way I ideate, prioritize, and scope
software development plans for clients like Harvard and The World Bank.

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Hey, Rob here. I’m the founder of Innovating with AI® and I’ve spent the last 20 years developing software that powers sites for Facebook and Intel.

And every time, I’ve had to answer these kinds of questions:

• How do I come up with new ideas to solve problems my clients have?
• How do I prioritize features that are “need to have” versus “nice to have”?
• How do I launch on time for client deadlines without going over budget?

As I reflected on how I did this again and again for clients, I began to see the “meta-pattern” of problem-solving.

That allowed me to find other talented developers who thought the same way I did. Together, we tackled larger and larger projects over the years – which is part of how I grew HDC, my software development firm.

But, things didn’t stop there.

I started to see how we could use the process internally to launch our own software products. Then, I got (1) more granular and (2) more meta.

On the granular level, I saw how we could use this approach for not just coming up with products, but processes – which are often the precursor to products.

Then, I saw how we could use it to even come up with entire businesses – and that led me to launching startups, selling startups, and even acquiring startups.

It taught me that, if I got really good at finding, selecting, and launching ideas, that it’d make it WAY easier to create processes, products, and even businesses.

The best part?

No more waiting on “inspiration”, getting stuck with “blank page syndrome”, or wishing for “one hit wonder” ideas.

I found a way to engineer a pipeline of reliable and viable ideas.

Fast forward to now:

After I launched Innovating with AI® and our AI Incubator – I secretly snuck elements of this process into the core program.

The end result?

It helped hundreds of students turn their ideas into AI processes and products.

Student orientation call from our AI Incubator program – excited to turn ideas into AI processes and products in time for our student demo day :).

That was how the AI Idea Cycle™ was born.

A repeatable process for finding new ideas, selecting the best one, and outlining your plan to make it a reality.

Personally, I found that fulfilling because the entire mission of Innovating with AI is to help entrepreneurs and executives harness the power of AI.

Then, to take it even one step further, I decided to formalize this “secret” AI Idea Cycle™ approach as a process that was accessible to everyone…before they even joined our AI Incubator program.

That way, if they decided to join, they’d be able to hit the ground running.

And, even if they didn’t join, and finding the right idea was all they needed to get their genius out into the world, they’d have a repeatable way to do that too.

That reliable and repeatable method is what I’m proud to share with you today.

INTRODUCING…

CREATE UNIQUE AI IDEAS FROM
YOUR SUBJECT MATTER EXPERTISE
IN 1 DAY

(EVEN IF YOU HAVE 20+ YEARS
OF PROFESSIONAL EXPERIENCE)

FINALLY, A REPEATABLE WAY TO
(1) CREATE A PIPELINE OF AI IDEAS
(2) PRIORITIZE THE BEST ONES AND
(3) CREATE A 1-PAGE PLAN TO BUILD IT

IMPLEMENT IN AS LITTLE AS 1 HOUR
& USE IT FOREVER
(WITH YOURSELF OR YOUR TEAM)

By the end of AI Idea Pipeline, you will have:

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What’s Inside The AI Idea Pipeline™?

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PART ONE: Your “Fill-In-The-Blank” Templates

The “AI Idea Cycle” Workbook

(Value $1,000)

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PART TWO: Your Video Training Manual

The “AI Idea Cycle” Implementation Training

(Value $1,000)

The “AI Idea Cycle” Implementation Training standardizes your ideation process into 10 digestible sections that take under 3 hours to complete. And that’s the first time you use it. For your second or third time around, it can take you less than 1 hour as you follow along.

Here’s a taste of
what the training covers…

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* PLUS *

I’m throwing in some special
rocket-fuel ? for you to
fly through the AI Idea Cycle

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PART THREE: Brainstorm AI Ideas With Fellow Creators Inside…

The AI Innovator Community

Come up with ideas faster
by nerding out with others

I asked 20,000+ Innovating with AI readers if they’d found their AI tribe – and I was overwhelmed by the response.

Here are just a few of their answers:

“So far my tribe is just me – and my husband is tired of me talking endlessly about my projects.”

“I haven’t found my AI tribe. I know a couple enthusiasts, but I haven’t met anyone that’s into it as much as I am.“

“I’m a physician, startup cofounder, ex-Deloitte senior manager, and currently freelance consultant. At the moment, I’m the only one in my circle who is into AI.“

If any of this feels familiar, then you are not alone.

Even with all the huge tech breakthroughs we’ve seen in the last year, human connection remains the most important factor in your business and career success.

That’s why the most successful innovators focus on finding or building what Seth Godin calls a “Tribe” – a group of like-minded people who support you and challenge you to improve.

Your loved ones and old friends won’t be your tribe for your journey into the AI future. Even your colleagues at work may not be ready to join your new adventure.

But without a real, human connection, you’ll spend all day stuck in your own head – rather than learning, building and growing.

That’s why, as part of the AI Idea Pipeline, I’ve cleared it with my team to provide you lifetime access to our AI community.

I’m talking about a “growth mindset” crew of folks who aren’t just AI enthusiasts, but AI innovators on the rise. In just the few short months that our “tiny but mighty” community has existed, I’ve seen folks reach out to form strategic business partnerships, and even reach out to offer funding for projects.

Now, I can’t promise that any of this will happen for you, but I share it to let you know that the future is as bright as you wish to make it and that you are not alone.

Since our community is also spread out across the world, chances are there’s always someone up when you are.

You’ll always have someone to talk to about ideas you’re finding, building, and growing in the greater world of AI.