AI Business Ideas

They failed because of one iron rule: No demand.

Simple as that. The market doesn't care about your clever features, your beautiful design, or your revolutionary approach. If people don't want it enough to pay for it, it dies.

Here's the painful part - I spent months building some of these in secret. Perfecting every detail. Thinking I had THE answer. Crafting the ideal solution. Then launched to... absolutely nobody caring.

It took me a LONG time to dump this bad habit. I thought I knew best. And the market kept kicking my arse.

Meanwhile, the ugly MVP I threw together recently in a week and tested immediately? That one made £100,000 in the first month.

The difference? I validated the ugly one before building it properly. I built the pretty ones in secret and hoped for the best.

Let’s get started:

The Iron Rule of Markets

The market is brutally honest. It doesn't care about your passion, your skills, or how hard you worked. It cares about one thing: does this solve a problem people will pay to fix?

From my 30+ businesses:

• The ones I was "passionate" about but nobody wanted? Dead.

• The "boring" ones that solved real problems? Profitable.

• The "perfect" ones I built in secret? Graveyards.

• The "embarrassing" ones I tested early? Still running.

This isn't about being negative. It's about being realistic. The faster you find out if people want your solution, the faster you can build something they'll actually pay for.

The Build-in-Secret Trap

Most people follow this path:

1. Get brilliant idea in shower

2. Tell nobody (someone might steal it!)

3. Build for months in secret

4. Perfect every feature

5. Launch to crickets

6. Blame marketing

I did this maybe 20 times before learning.

I’m…not that bright!

The fear of someone stealing your idea is nothing compared to the reality of building something nobody wants. Ideas are cheap. It’s implementation that matters.

If you currently have a “great idea” for a business guess what. It’s worth sweet FA. Sorry!

Hoarding that unique idea is also what differentiates first time entrepreneurs from those who have a few businesses under their belt. As soon as someone tells me they have an amazing idea but can’t talk about it because it’s so damn good…I stop listening!

The successful path instead:

1. Get idea (doesn't need to be brilliant)

2. Test with real people immediately

3. Build only what they'll pay for

4. Launch ugly but functional

5. Improve based on usage

6. Scale what works

The difference? You're building with the market, not for an imaginary market in your head.

As an example I’ve just launched the 4th cohort for my AI Workshop Kit. As part of this push I’ve re-filmed ALL of the content and refreshed all the material. It now LOOKS great - really professional.

But we banked hundreds of thousands with the product before we polished it! Because once we’d banked this much we know it’s worth the investment making it look great.

The Lean Validation Mindset

There’s a valuable book called The Lean Startup by a guy called Eric Ries.

I’ll save you having to read it because the basic idea is pretty simple. The core principle: Build-Measure-Learn, as fast as possible.

Find that the market doesn’t respond? Cool. Pivot. Change what you’re building. Based on what the market tells them! Not their own opinion!

But here's what most people miss: the "Build" part doesn't mean build your full product. It means build the minimum thing that tests your core assumption. We’ll talk about this more over the week.

How do we actually TEST the market though?

Well…it depends on whether you have an audience or not. Hence my (constant!) focus on getting you to build an audience around what you are building!

If you have an audience (even small):

• Post: "Thinking of building X. Would you pay £20/month?"

• Run a quick survey about the problem

• Create a waitlist with pricing visible

• Pre-sell before building

This is why we spent Week 2 building an audience. Even 100 followers gives you validation superpowers.

This is exactly how I launched the AI Workshop Kit by the way - and banked a quarter mil plus. Nothing fancy.

Without an audience (where you probably are, and that’s fine!):

• Analyse competitor audiences (we'll do this tomorrow)

• Direct outreach to potential users

• Post in communities where your users hang

• Create simple landing pages to test interest

The method changes. The principle doesn't: validate before building.

It’s just a lot easier, faster and cheaper with your own audience!

Speed Is Your Superpower

In the startup world, speed beats everything:

• Speed beats perfection (perfect products launched late fail)

• Speed beats features (one feature used beats ten ignored)

• Speed beats competition (first to market shapes the market)

• Speed beats fear (moving fast prevents overthinking)

This week, we're going to move FAST. By Friday, you'll have a validated idea and build spec. Not perfect. Not polished. But real.

This week is about finding one problem worth solving:

• Today: Understanding validation principles

• Tomorrow: Mining competitors for problems

• Wednesday: Creating simple MVP concepts

• Thursday: Choosing your winner objectively

• Friday: Building your specification

No more building in secret. No more hoping the market wants what you're creating.

Build in Public Component

Share your validation commitment:

"Day 11 of AI Summer Camp: Done with building in secret.

My last secret build took [time] and made £0.

This time:

• Test idea by [date]

• Launch MVP by [date]

• Get first customer feedback by [date]

Speed > perfection. Who else is done with stealth mode?"

What's Next?

Tomorrow, we're going straight to the source of problems worth solving: your competitors' audiences. They're already telling everyone what they want. We just need to listen.

Keep Prompting,

Kyle

They were up against players like Evernote which already had millions of users, huge funding and revenue. It was the dominant player. But they weren't listening to this specific problem their users kept screaming about.

Ivan recalls noticing that “productivity nerds … hacked together clumsy systems on Evernote, Trello, Docs and spreadsheets” to manage workflows.

Notion listened. Built exactly what people were begging for. Today they're worth $10 billion.

The lesson? Your competitors' users are telling you exactly what problems need solving. You just need to tune in to their frequency. You’ve got to listen.

Competitor users aren’t just complaining—they’re signalling gaps in the market. If you tune in, understand the hacks they’ve built, and offer them a polished all‑in‑one alternative, you’ve found your market wedge.

Let’s get started:

Why the AI Tool Graveyard Exists

Go to any AI directory. Thousands of "cool" tools. Most with under 100 users.

They're not bad tools. They're solutions looking for problems. The founders thought "This would be cool to build" instead of "This solves a painful problem."

Cool doesn't pay bills. Solving problems does.

Every successful business follows this formula:

• Person has specific problem

• Problem causes measurable pain (time, money, frustration)

• Business removes that specific pain

• Person pays to keep pain away

Skip step one, and you're building for customers who do not exist.

So…how to avoid this?

The Audience Advantage

If you have an audience, validation is simple. Ask them. Survey them. Test with them. They'll tell you exactly what problems they'll pay to solve.

But you're 12 days in. Your audience is still growing. So we tap into other people's audiences - specifically, your competitors' users who are already vocal about their problems.

In Week 1, we found competitors to validate market demand. Now we're going deeper - not just "what features are missing" but "what problems are making people angry enough to complain publicly."

This is completely different from Week 1's competitor analysis. That was about market gaps. This is about human pain.

You are a customer problem researcher specialising in finding urgent, expensive problems that people actively complain about. This is NOT about competitor features - it's about user pain.

My niche: [Your niche from Week 1]
Week 1 competitors found: [List them]

Your task:
1. Search for discussions where users of these tools express PROBLEMS and FRUSTRATIONS
2. Look for emotional language that indicates real pain
3. Find problems mentioned repeatedly across multiple sources

Focus on finding:
- Specific tasks that waste time ("spend hours every week...")
- Workflows that break or fail ("always crashes when...")
- Missing capabilities that cost money ("have to hire someone to...")
- Frustrations that people work around ("I jury-rigged a solution...")

For each problem, document:
- Exact user quotes (with source)
- Current workarounds people use
- Language that shows pain level ("drives me crazy", "biggest headache")
- Any mention of time/money impact

Look in:
- Recent reviews (2-4 stars) 
- Support forums and help communities
- Reddit threads about the tools
- Twitter complaints
- YouTube comments on tutorials

IGNORE:
- Feature wishlists
- UI preferences  
- Vague complaints
- One-off edge cases

Categorize problems by:
- Urgent daily pains (need solving NOW)
- Expensive problems (costing significant time/money)
- Workflow blockers (preventing important work)

Give me real human problems, not competitor analysis.

Run this with Manus or your preferred AI research tool. It will go off and trawl the internet for profitable problems for you. This is by the way one of the most powerful uses of an AI agent - doing this grunt work used to take forever!

Real Problems vs Feature Requests

Remember that a massive difference between "It would be nice if..." and "This drives me absolutely crazy every single day." Use this in your judgement when looking at what your AI turns up.

Real Problems:

• "I waste 2 hours every Monday copying data between these systems"

• "Lost a client because I missed this in the workflow"

• "Have to pay my assistant £500/month just to handle this"

• "The worst part of my job is dealing with..."

Feature Requests:

• "Would be cool if it had dark mode"

• "Wish it integrated with [obscure tool]"

• "Could use better fonts"

• "Needs more customisation options"

Dark Mode doesn’t pay the bills. Chase problems that cause measurable pain. Those are the ones people pay to solve.

Your Day 12 Deliverable

By end of today:

1. Run the problem research prompt for your niche

2. Document 10 specific problems with user quotes

3. Rank by pain level (how much it costs in time/money)

No feature lists. No "nice to haves." Just real problems that real people lose real time or money to.

Right now, someone is typing an angry review about your competitor. They're frustrated. They're looking for alternatives. They might even have their credit card out.

Tomorrow, we'll turn these validated problems into simple, buildable MVP concepts. One input, one AI process, one output. Solving one problem brilliantly.

But today? Today you're gathering intelligence about problems so painful that people will pay to make them go away.

Build in Public Component

Share your problem discoveries:

"Day 12 of AI Summer Camp: just found what makes [market] users rage.

'[Exact quote about problem]' - seen this 20+ times

'[Another painful quote]' - this costs them hours weekly

My competitors' users are screaming about their problems. So… looks like it’s time for me to build solutions."

What's Next?

Tomorrow, we take these problems and design simple AI solutions. No complexity. No feature lists. Just problem → solution → payment. The problems you find today become the products you build next week.

But first: the problems! Get to it!

Keep Prompting,

Kyle

Big mistake.

I'd spend weeks adding features nobody asked for. Building complex workflows that confused users. Creating Swiss Army knife tools that did everything poorly instead of one thing brilliantly.

Then I learned the real MVP formula: One Input → AI Process → One Output.

That's it.

The invoice scanner that turns receipts into expense reports? Yes a MVP.

The meeting recorder that spits out action items? Again, a MVP.

The complex project management tool with 47 features? Not a MVP.

Today, we're turning yesterday's problems into dead-simple AI products that actually make money.

Let’s get started:

The Real MVP Mindset

An MVP is a “minimum viability product”. Popularised by the lean startup movement we mentioned yesterday.

MVP doesn't mean "barely functional." It means "minimum features that prove value."

Importantly we build a basic version of our product which allows us to get real feedback from (shock horror) real people

Which lets us learn and adapt the product quickly. Before spending months and thousands of dollars.

Most people think MVP means building a crappy version of their grand vision. Wrong. MVP means finding the core transformation - the intrinsic kernel of value - and doing ONLY that, but doing it brilliantly.

This is the opposite of what most early stage entrepreneurs do.

People don’t like it? OK - add MORE. More features. More tools. More stuff. They become Swiss Army knives - they do everything but master nothing. MVPs are scalpels - one thing with surgical precision.

The One-Input AI Formula

How do we really strip this down? Especially for the 10 Week Summer Camp?

Here's the formula we’ll be using moving forward: One Input → AI Process → One Output

Some example flows we could build:

• Blog posts become email newsletters.

• Customer reviews become sentiment reports.

• Meeting recordings become action items.

• Product descriptions become SEO versions.

• Invoice data becomes expense reports.

Notice what's missing? Multiple inputs. Complex workflows. Feature lists. Options and settings.

One transformation for one type of user with one clear outcome. That's it.

Complex tools are nightmares. Long onboarding where users quit. Customer education that costs a fortune. Endless support tickets. Bugs that multiply exponentially. Maintenance hell.

Simple tools are beautiful. Thirty-second understanding. Zero training needed. Minimal support. Fewer breaking points. Easy maintenance.

But here's the real reason simple wins: decision fatigue. Your users are drowning in complexity. A tool that does one thing perfectly is a life raft.

This is what we’ll (initially) build over the next few weeks. Something we can spin up quickly. Get in front of customers. Test their reactions. Adjust as necessary.

And (once we have locked in the core value!!!) we can add complexity. If we need to.

Building Without Code

But wait I can’t build…I can’t programme…I can’t code.

Yeah you can.

This is 2025. You don't need to code to build AI products.

Lovable.ai, Bubble, Make + AI APIs - these can build production-ready tools. Not prototypes. Real products serving real customers.

You can build input forms that process through AI and display outputs. File uploads that get AI processing and downloadable results. Text boxes that transform content instantly. URL inputs that extract and generate reports.

All easy peasy. Stop thinking you need to be technical. You need to be problem-focused.

We’ll get into this next week but I wanted to quickly assuage concerns in case it blocked you moving forward!

Your MVP Generator Prompt

OK onto the task at hand for today. Time to turn yesterday's problems into products:

You are an AI product designer specialising in simple, focused tools. Based on the problems I found, generate MVP concepts following the one-input formula.

Problems from my research: [Paste your top 5-10 problems from yesterday]

For each problem, create an MVP concept with:

Name (descriptive, not clever)
Input (ONE thing user provides)
AI Process (what AI does to input)
Output (ONE thing user receives)
Problem Solved (specific pain removed)

Rules: No multiple inputs or outputs. Process must be AI-doable today. Must save significant time OR money. User gets value in under 5 minutes. Buildable with no-code tools.

Example format: "ReviewReplyAI"
Input: Negative review text AI
Process: Analyses tone and generates professional response
Output: Ready-to-post reply 
Problem Solved: 30 minutes crafting diplomatic responses

Generate 10 MVP ideas ranked by simplicity to build, clear value proposition, and how passionate people are about this problem.

Plug all of this into you working chat with your AI so as to use the past problems. Or copy/paste them in as necessary.

What Makes a Good MVP

The best MVPs have clear transformations. Users see before/after immediately. "Messy data becomes clean report" is clear. "Better productivity" is vague.

They solve one problem for one type of user. Don't try to serve accountants AND marketers AND salespeople. Pick one.

Value comes fast - minutes, not hours. If they need training, it's too complex.

Pricing is obvious. "£20/month for unlimited contract summaries" beats "£20/month for AI assistance."

Every feature you don't build is a feature that can't break. Every option you don't offer is a decision your user doesn't make. Every use case you ignore is clarity for the one you serve. I know it seems counterintuitive at first but this is super important!

Tomorrow, we'll analyse which MVP to build first. But today? Today we just need to get it into our heads that the best products do less, better. This is a lesson that took me a LONG time to get!

Your Day 13 Deliverable

By end of today:

• Run the MVP generator prompt with yesterday's problems.

• Create simple diagrams for your top 3 MVPs showing Input → Process → Output.

• Write one sentence describing each transformation.

Keep it embarrassingly simple. If you're adding features, you're doing it wrong. Not yet!

Build in Public Component

Share your MVP concepts:

"Day 13 of AI Summer Camp: Turning problems into simple AI products.

My favourite concept so far: [Input] → [AI Process] → [Output]

Solves: [Specific problem from yesterday]

One transformation. No feature creep. Just value. That’s the plan.”

What's Next?

Tomorrow, we put these MVPs through an objective framework to find your winner. No gut feelings. No favourites. Just data-driven selection based on market evidence.

We’re going to kill your darlings. So don’t get too attached!

Then Friday, we turn the winner into a build specification you'll take into Week 4.

One input. One process. One output. One week from now, you'll have a working product. Yeah…kinda mad eh?

Keep Prompting,

Kyle

You kept it to yourself - didn't want anyone stealing it. Didn't move on it for months, maybe years. "I'll build it when I have time."

Finally, you built something. Took months of nights and weekends. Hard work. Late nights. You were proud. And rightly so.

Released it to the world and... nothing. Nada. Zilch.

Maybe three signups from friends being polite.

All that time wasted.

Here's what actually happened:

• Keeping it to yourself = zero external feedback. You built what YOU thought people wanted.

• Not moving on it = missed months of learning. Could have been collecting real data, building an audience, understanding the problem better.

• Building in secret = you were your only feedback loop. No course correction. No validation.

And the failure hits hard because you'd invested so much. It’s psychologically devastating - this whole building a business thing maybe ain’t for you.

Now flip it: quick idea selection, fast build, public feedback, early users, rapid iteration. Lower effort, completely different outcome. That is our goal.

Let’s get started:

We Can't Trust Ourselves

Here's the uncomfortable truth: we're biased toward our worst ideas.

We pick the complex ones because they feel more "legitimate." We choose the technically challenging ones because they seem more impressive. We select our personal favourites because... they're our favourites.

And we systematically get it wrong. 🤣 

Meanwhile, the “simple” solution that actually solves a burning problem? We dismiss it as "too basic." Oopsie daisy.

This is why most founders build what nobody wants. Not because they can't identify good ideas, but because they can't stop themselves from picking the wrong ones. We all do it. Let’s look at how we can save ourselves from …ourselves!

The Human Feedback Reality

The best way to pick a winner is to get human feedback. Talk to real potential customers. Test willingness to pay. Get actual validation.

Hands down this is what you need to do. BUT it’s hard.

I know if I tell you to do that now, you'll hit a brick wall. You'll freeze up. You'll overthink it. You'll delay. And you won’t move forward.

So…I’m going to go easy. For now.

Instead we’re using AI as our objective MVP analyst first. Get a winner selected. Build a basic version next week. THEN get human feedback on something real.

We are going to have to talk to humans (our audience) but you’re getting a slight stay of execution!

Using AI for now is not perfect, but it keeps you moving. Movement beats perfection every time.

The Selection Framework

Here’s the basic framework we’ll be using with our AI. Good MVP ideas share three characteristics:

Problem Severity: How much pain does this solve? A problem that costs someone 10 hours weekly beats one that causes mild annoyance. Look for problems people actively try to solve with duct-tape solutions.

Technical Simplicity: Can you build this with no-code tools in a week? If you're thinking about custom development, authentication systems, or complex workflows, you're overcomplicating. Simple tools ship. Complex tools die in development.

Revenue Clarity: Can you explain the pricing in one sentence? "£30/month for unlimited invoice processing" is clear. "AI-powered business intelligence platform with tiered pricing based on usage" is not. Most people go with the latter and then act surprised when people don’t understand what their product does.

The sweet spot? High pain, low complexity, obvious pricing. Cool?

Your AI Business Analyst

OK let’s get rolling with a prompt. For this particular prompt I recommend a reasoning model. Or any model that can give a detailed, “thought-out” response.

identify the most viable option based on data, not emotion.

Analyse these MVP concepts:
[List all ideas from yesterday with their Input → Process → Output format]

For EACH idea, score 1-10 on:

1. Problem Severity
- How painful is this problem?
- How much time/money does it cost?
- How desperately do people want it solved?

2. Technical Simplicity  
- How quickly can this be built with no-code?
- How many edge cases exist?
- How straightforward is the AI implementation?

3. Market Evidence
- How many people complained about this?
- How clear is the problem from research?
- How obviously does this solution fit?

4. Revenue Potential
- How clear is the value proposition?
- How easy to explain pricing?
- Would people pay £20-100/month?

5. Competition Landscape
- Is someone solving this perfectly already?
- Are current solutions too complex/expensive?
- Is there room for a simple alternative?

Provide:
- Score table for all ideas
- Top 3 recommendations with reasoning
- The ONE to build first and why
- Main risk for the chosen idea

Be harsh. Look for flaws. I want truth, not encouragement.

Why This Works

Models are agreeable by default. Ask "is this a good idea?" and they'll find ways to say yes. But ask them to compare and score objectively? They become useful critics.

Too many people fall into the trap of just asking AI if their idea is good. And guess what? It will always say yes.

So they add to their custom instructions “don’t always agree with me”.

And what happens then? They’ll ask if their idea is good and the model will say no.

What’s happening here? The model is agreeing to disagree! It’s still being agreeable…and just complying with our request for it to disagree with us. Useless!

The framework forces comparison. It's not "is this good?" but "which is best?" That relative analysis reveals strengths and weaknesses you'd miss otherwise.

Making the Choice

After running the analysis, you'll likely see a clear winner emerge. It probably won't be your favourite. It might even be the one you thought was "too simple."

That's exactly the point.

The market doesn't care about your impressive technical skills. It cares about problems getting solved. The simplest solution that effectively solves a real problem will beat the complex solution every time. And we’ve used this prompt to force us towards that solution.

Your Day 14 Deliverable

By end of today:

• Run the AI analyst prompt on all your MVPs.

• Get the complete scoring table.

• Identify your top 3 with clear reasoning.

• Choose your winner based on data, not gut feeling.

Trust the process. Your winner might surprise you.

Build in Public Component

Share your selection process:

"Day 14 of AI Summer Camp: Let AI analyse my ideas objectively.

My favourite idea scored: 28/50 The winner scored: 42/50. Huh.

Lesson learned: Simple solutions to severe problems beat complex solutions to mild problems. Maybe I need to simplify.

So I’m pushing ahead and building: [Your winning idea]"

What's Next?

Tomorrow, we create a detailed build specification for your chosen MVP. Every screen, every flow, every technical decision - documented and ready for Week 4's build.

Keep Prompting,

Kyle

AI building tools are so powerful now that you can add features as fast as you can think of them. "What if it also..." becomes "Wait, I'll just add..."

One minute you're building a simple invoice processor. Next minute it has user accounts, team collaboration, and a built-in CRM. Because sod it, why not? The AI can build it all! Let’s go go go!

This is the vibe coding trap. When building becomes effortless, scope creep happens at light speed.

I've watched developers go from a sensible business idea like a "PDF to spreadsheet converter" to "full collaborative document management platform" in a single afternoon. Not because they planned it. Because they could.

That's why today we're doing something boring but crucial: creating your build specification.

This isn't just busy work. You know I hate pointless effort. No, this is your protection against yourself.

Let’s get started:

Discipline leads to freedom

When you see what Lovable, Cursor, and Bolt can do next week, you'll want to build everything. The AI will encourage you. "Sure, I can add that!" it'll say. "Want user authentication too? Let’s do it baby!"

It’s intoxicating. And dangerous.

Because nothing will get finished.

No. Instead you want what's in your spec. Nothing more.

A good spec isn't just a technical document. It's a promise to yourself about what you will and won't build. It's the difference between shipping in a week and getting lost in endless features… a very common problem when people start vibe coding as we will next week.

What Goes in Your Spec

Your spec needs five things:

The User Journey: Start to finish, what does the user do? They arrive at your tool. They input X. They wait Y seconds. They receive Z. They leave happy. Map every step, even the obvious ones.

Technical Flow: Your Input → Process → Output from Day 13, but with more detail. What format is the input? What exactly does the AI do? What format is the output? How is it delivered?

Design Decisions: Not "make it pretty" but "one button that says Process" or "results appear below the input." Simple, specific choices. No animations. No fancy layouts. Just functional.

Success Criteria: How do you know it works? "Processes invoice in under 30 seconds" or "Extracts all email addresses from document" or "Summary is under 200 words." Measurable outcomes.

The NOT List: Equally important. NOT doing user accounts. NOT adding payment processing (yet). NOT building an API. NOT creating a mobile version. This list saves you from yourself. If anything this is more important than the to-do list. With AI we can do pretty much everything. Doesn’t mean we should!

A lot here but don’t worry. I’ve built out a prompt for you.

Your Spec Generator

Let’s turn our winning MVP idea into a buildable blueprint:

You are a build specification expert. Create a focused, one-page spec for this MVP that prevents scope creep and enables rapid building.

My chosen MVP:
[Insert your winner from yesterday with Input → Process → Output]

Target users: [Who specifically will use this]
Core problem it solves: [From your research]

Create a build specification with:

1. USER JOURNEY
- Step-by-step flow from landing to result
- Exactly what user sees/does at each step
- Where they might get confused
- How they know it worked

2. TECHNICAL FLOW
- Input: Format, size limits, validation needed
- Processing: Exact AI transformation
- Output: Format, delivery method
- Error handling: What if something goes wrong

3. DESIGN DECISIONS
- Page layout (simple)
- Button text and placement
- Where results appear
- Colour scheme (just pick one)
- Font (just pick one)

4. SUCCESS CRITERIA
- How fast must it work?
- What defines a successful output?
- How will you test it works?

5. NOT DOING LIST
- Features to explicitly exclude
- Complexity to avoid
- Future ideas to ignore (for now)

Keep it under one page. Make it so clear that someone could build this without asking any questions.

This feels tedious. It is tedious. That's the point. Sorry!

Every boring decision you make today is a rabbit hole you avoid next week. Every feature you explicitly exclude is an hour saved. Every success criterion is a shipped product instead of endless tweaking.

Basically your current self is protecting future self from getting overexcited.

Next week, when the AI suggests adding "just one more feature," you'll check your spec. Not included? Not building it.

When you're tempted to "improve" the design, you'll check your spec. Already decided? Move on. When you wonder if it's "good enough," you'll check your success criteria. Met them? Ship it.

The spec isn't fun. But shipping is. And specs lead to shipping.

Your Day 15 Deliverable

By end of today:

• Run the spec generator on your chosen MVP.

• Review and adjust until it's crystal clear.

• Print it out or pin it somewhere visible.

• This is your north star for next week.

• Create your NOT DOING list and make it longer than your feature list.

One page. No ambiguity. Ready to build next week.

Build in Public Component

Share your commitment:

"Day 15 of AI Summer Camp: Created my build spec.

Building: [Your MVP name] Input: [What users provide] Output: [What they receive]

More importantly here is what I’m NOT building: user accounts, payment processing, mobile app, API, or anything else that would delay shipping.

That comes later!

Spec done. Building starts Monday."

What's Next?

Week 4 is where everything comes together. You'll take this spec and build a real, working product. Not a prototype. Not a demo. A tool that solves problems and could make money.

We call this (magic) process "vibe coding" - building with AI as your co-developer. It's intoxicating. It's powerful. And most importantly thanks to today's spec, it'll actually result in shipping!

Get ready. Monday, you become a builder.

Keep Prompting,

Kyle