3 posts tagged with "app-development"

(Watch the video above to see a voice cloning app built from scratch – and try to guess which part uses AI-generated voice!)

Sign Up For Aidolons Now

You're listening to someone speak, nodding along, completely engaged. Then they drop the bombshell: "By the way, this entire section was AI-generated using my cloned voice."

Your brain scrambles. Wait, which part? It all sounded so... real.

Voice cloning has crossed the uncanny valley. Microsoft's new Vibe Voice model doesn't just mimic speech patterns – it captures the essence of your voice. And today, you're going to build an app that harnesses this terrifying power.

In the video above, I built a complete voice cloning application in under 5 minutes. One section uses my AI-cloned voice instead of my real one. Can you spot it? (Spoiler: Most people can't.)

The 5-Minute Voice Cloning App Build​

Here's exactly what we're creating: A professional voice cloning app that records audio, captures your voice signature, and generates unlimited AI speech that sounds exactly like you.

No coding. No complex setup. Just click, drag, and ship.

Step 1: Set Up Your App Canvas​

Open Aidolons and click "Create App." I'm using GPT-5 with medium reasoning effort for this build – it handles the voice processing logic beautifully.

First, name your app. I went with "Voice Cloner" (creative, I know). But here's the pro move: Build the scaffolding first.

The AI performs better when you give it a clear structure. It's like giving a chef mise en place instead of a pile of random ingredients.

Step 2: Add Your Voice Cloning Powers​

In the scaffolding editor, here's your toolkit:

• Audio Generation → Create AI Speech: Drag this into available actions
• Select Vibe Voice 7B: Microsoft's state-of-the-art model
• Media Utilities → Save Audio: This lets users save recordings to assets

That Save Audio tool? Not strictly necessary for basic functionality, but it transforms your app from a toy into a professional tool. Users can build voice libraries, save different voice profiles, and create entire audio asset collections.

Step 3: Let AI Build the Interface​

Switch to chat mode and give this exact prompt:

"Create a simple app that allows the user to click a microphone button to record some audio, which will be saved to our assets. Then the user will enter some text in a text input and use Vibe Voice to generate speech."

Watch as GPT-5 writes hundreds of lines of code in seconds. The entire voice recording interface, audio processing logic, and generation pipeline – all automated.

The Terrifying Results​

My first test was innocent enough. I recorded myself saying: "Hello, I am just recording some random words so that the AI has something to sample my voice with."

Then I had it generate: "No, this doesn't count as the section where I used AI to clone my voice. That section is somewhere else."

The result made my skin crawl. It wasn't just my voice – it was my exact intonation, my breathing patterns, even the subtle way I emphasize certain words.

The Unexpected Discovery​

Here's where things got weird.

For my second test, I screamed into the microphone. Full volume. Completely unhinged. I wanted to see if the AI would clone my screaming voice.

The result? The AI spoke in my normal, calm voice.

The model learned my actual voice, not my performance. It somehow extracted my core voice signature from the screaming and generated speech in my regular speaking tone. That's not a bug – that's intelligence.

Advanced Features That Emerged​

The AI didn't just follow instructions – it enhanced them:

• Automatic asset management: Recordings instantly appear in your asset library
• Tab-based interface: Switch between recorded voice and existing assets
• Visual feedback: Real-time recording levels and status indicators
• Long-form generation: Unlike other models, Vibe Voice handles paragraphs, not just sentences

That last point is crucial. I tested it with an entire paragraph. The voice remained consistent throughout – no drift, no robotic artifacts, just natural speech that could pass for a podcast recording.

The Business Opportunity Nobody's Talking About​

While everyone's obsessing over ChatGPT, the real money is in specialized AI tools.

Voice cloning apps are selling for $47-$297/month right now. Corporate packages go for thousands. The market is desperate for quality solutions.

Here's your unfair advantage: You can build and deploy this today.

Instant Monetization Path​

1. Click "Publish" in Aidolons
2. Create your site and API key
3. Download the WordPress plugin
4. Upload to your WordPress site
5. Connect WooCommerce for payments

Total setup time: Under 10 minutes.

You could be taking payments before lunch.

Use Cases That Print Money​

For Content Creators:

• Generate podcast intros/outros in your voice
• Create multiple language versions of your content
• Produce audiobooks without recording for hours

For Businesses:

• Personalized customer service messages
• Dynamic voice notifications
• Training videos that update automatically

For Agencies:

• White-label voice cloning services
• Custom voice assistants for clients
• Automated voice-over production

One agency owner told me: "We're charging $2,000/month for custom voice solutions that take us 5 minutes to set up with Aidolons."

The Ethical Elephant in the Room​

Voice cloning is powerful. Too powerful, maybe.

This technology is incredibly powerful, and with that power comes responsibility.

Please use this technology ethically:

• Only clone voices with explicit permission
• Be transparent when using AI-generated voices
• Consider the implications before deploying voice clones
• Respect privacy and consent at all times

The technology is here – how we choose to use it will define its impact on society. Build responsibly.

Technical Deep Dive: Why Vibe Voice Changes Everything​

Microsoft's Vibe Voice 7B isn't just another TTS model. It's a fundamental breakthrough in audio synthesis.

Traditional TTS: Analyzes phonemes → Generates robotic speech Vibe Voice: Learns voice signatures → Reproduces human speech patterns

The model processes:

• Pitch variations and micro-expressions
• Breathing patterns and natural pauses
• Emotional undertones and emphasis
• Regional accents and speech quirks

The result? Audio so realistic that Microsoft initially held it back from public release.

Your Next Move​

The voice cloning revolution is happening right now. Not next year. Not "someday." Today.

You have two choices:

Option 1: Wait for everyone else to saturate the market Option 2: Build your voice cloning app today and capture early adopter profits

The builders who moved fast on ChatGPT wrapper apps made millions. Voice cloning is the next gold rush, and you're standing at the starting line.

Start Building Your Empire​

No coding bootcamp. No expensive developers. No waiting for the "perfect time."

Just open Aidolons, follow the steps above, and launch your voice cloning app today.

Yes, I want to build voice cloning apps »

---

P.S. Remember the challenge from the video? One section was completely AI-generated using my cloned voice. Most viewers couldn't tell which part. That's not a party trick – that's a business opportunity. With Aidolons' 14-day guarantee, you can build your own voice cloning app risk-free. If you don't have a working app making money within 14 days, you pay nothing.

*P.P.S. The answer to the challenge is: it's the very beginning of the video, the part where I say "Voice cloning technology is becoming so realistic that it's hard to tell what's real and what's AI. Spoiler alert, my voice is not AI." Everything else is real (except for the parts where I'm clearly playing back the AI generated audio).

(Watch me wrestle GPT-5 into submission – and see the jaw-dropping apps it creates when you know its secrets)

Start Building Professional AI Apps Today

GPT-5 is a failure. The code won't run. It makes broken apps. Everyone online is saying the same thing: "GPT-5 is a disappointment."

They're all using it wrong.

In the video above, I show you exactly what happened when I refused to give up on GPT-5. The results? A fully functional Photoshop clone with built-in AI image generation. A Space Invaders game so beautiful it looks professionally made. Apps with great features I never even asked for.

Here's the thing: GPT-5 isn't broken. It's just wildly misunderstood.

The Problem Everyone's Having (Including Me at First)​

My first GPT-5 test was embarrassing. I asked for a text-to-speech playground and got... a slider. Just a single, lonely slider sitting there doing nothing.

Meanwhile, the "inferior" models were churning out working apps left and right.

The criticism online seemed justified. GPT-5 was supposed to be revolutionary, but it was getting outperformed by models that cost a fraction of the price.

But then I noticed something odd.

The Space Invaders That Changed Everything​

While most of GPT-5's attempts failed spectacularly, it created one Space Invaders game that was qualitatively different from anything else I'd seen.

Not just better. Different.

The other models gave me functional games – squares shooting at other squares with some color effects. Respectable recreations that worked.

GPT-5 gave me something that looked like an actual commercial game. Smooth animations, professional aesthetics, particle effects, and – here's the kicker – it added sound without being asked.

The Secret: GPT-5 Thinks Too Big for Its Own Good​

After some detective work (and a surprisingly helpful conversation with GPT-5 itself), I discovered the problem.

GPT-5 was generating apps so complex that the environment didn't know how to handle them.

Once I understood this, everything changed.

What GPT-5 Can Actually Do (When You Let It)​

Let me show you what happened when I gave GPT-5 the right constraints and let it run wild.

The Text-to-Speech App That Nobody Asked For​

Remember that failed text-to-speech playground? Here's what GPT-5 built once it understood the limitations:

• Voice search functionality (I didn't ask for this)
• Auto-detect language with convenience buttons for common languages
• Full generation history tracking
• Advanced settings panel with clean UI

The baseline models gave me a working text box and voice selector. GPT-5 gave me a professional application with features I hadn't even thought to request.

The Zen Fish App Test​

I had this complex app – a zen fish pond with physics, ripple effects, rocks, and food pellets. The code was so complex that even the original AI (Gemini 2.5) couldn't modify it anymore.

I gave every model the same challenge: "Make the rocks and food prettier."

The results:

• GLM: Broke the rocks completely
• O3: Crashed the entire app
• Opus: Added basic glow effects
• GPT-5: Added rotating star-shaped food pellets with pulsation effects, multiple particle types, textured rocks with shadows

Not only did GPT-5 succeed where others failed, it added complexity I didn't even know I wanted.

The Photoshop Clone That Shouldn't Exist​

Here's where things get insane.

I asked GPT-5 to create "an app that is like an image generator mixed with Photoshop."

After about 10 rounds of back-and-forth (yes, it takes patience), GPT-5 delivered:

• Full layer management system
• Drawing tools: paintbrush, eraser, fill bucket, shapes
• Eyedropper tool that actually works
• Built-in AI image generator
• Integration with Aidolons' asset system
• Save and export functionality

1,500 lines of code. A legitimate image editing application with AI generation built right in.

Is it perfect? No. The text tool needs work. Some features are quirky.

But think about what just happened: An AI built a functional Photoshop alternative with integrated AI image generation. In a browser. In about an hour of prompting.

The Hidden Pattern: Complexity Is GPT-5's Superpower​

Here's what everyone's missing about GPT-5:

It doesn't think in minimum viable products. It thinks in complete solutions.

When you ask for a text-to-speech app, other models give you exactly what you asked for. GPT-5 gives you what it thinks you actually need – search, history, language detection, the works.

This is both its blessing and its curse.

How to Actually Use GPT-5 (The Right Way)​

After days of testing, here's the GPT-5 playbook that actually works:

1. Set Clear Boundaries​

Tell it explicitly about environment limitations. "Make sure it fits in a single viewport" saved me hours of debugging.

2. Expect Iteration​

GPT-5 rarely nails it on the first try for complex builds. Budget 5-10 rounds of refinement. This isn't a bug – it's how you unlock its potential.

3. Use Screenshots Liberally​

When something breaks, show it. GPT-5 is surprisingly good at visual debugging.

4. Let It Be Ambitious​

Don't fight its instinct to over-deliver. Guide it instead. You'll get features you didn't know you wanted.

5. Save Everything​

GPT-5's "failed" attempts often contain brilliant ideas. I rescued that beautiful Space Invaders game from my server logs.

The Quick Win You Can Use Today​

Here's something you can try right now: When prompting any AI model for app creation, add this line: "Include one unexpected feature that enhances the user experience."

Even simple models will surprise you with creative additions. But GPT-5? It'll blow your mind.

Why This Changes Everything​

Look, I get it. GPT-5 is frustrating. It's unpredictable. It fails in ways that make no sense.

But it's also the only model that consistently produces apps that feel professionally made.

While everyone else is complaining about GPT-5's failures, a small group of builders are using it to create apps that genuinely compete with traditional software.

The question isn't whether GPT-5 is good or bad. The question is whether you're willing to learn its language.

Your Choice: Complain or Create​

Right now, you have two options:

Option 1: Join the chorus of GPT-5 critics. Stick with safer models. Build functional but unremarkable apps.

Option 2: Learn to harness GPT-5's chaotic genius. Build apps that make people say "wait, AI made this?"

The best part? While everyone's arguing about which model is "best," you could be shipping apps that solve real problems for real people.

Because here's the truth: Your users don't care which AI model you used. They care whether your app makes their life better.

Ready to Build Something Incredible?​

You've seen what's possible when you stop fighting GPT-5 and start working with it. The Photoshop clone, the professional games, the features nobody thought to ask for – they're all waiting.

The tools are ready. The models are available. The only question is: What will you build first?

Get Instant Access to Aidolons and Start Building

Build it. Export it to WordPress. Connect your payment processor. Start making money while everyone else is still debating model benchmarks.

---

P.S. – That Photoshop clone with AI generation? It took me about an hour to build with GPT-5 in Aidolons. How long would it take with traditional development? Months? Years? The future isn't coming – it's already here. You just need to grab it.

Yes, I Want to Build Professional AI Apps »

(Watch the video above to see GPT-5 create the most beautiful Space Invaders you've ever seen – and then try to delete it!)

Sign Up For Aidolons Now

You're staring at the GPT-5 announcement, wondering if it's finally the AI that will change everything. After months of hype, speculation, and sky-high expectations, it's here.

But here's the million-dollar question: Can it actually deliver?

In the video above, I threw GPT-5 into the ring with Claude Opus 4.1, GLM 4.5, and our baseline models to see which one builds the best apps. The results? Let's just say GPT-5 is like that brilliant friend who shows up late, argues with everyone, creates something absolutely stunning, breaks it, then leaves without explaining anything.

The Ultimate AI Model Cage Match​

Here's what went down. I tested each model with three challenges:

• Build an aesthetically beautiful Space Invaders with an unexpected twist
• Create a zen-like CRM for yoga instructors
• Build a text-to-speech playground integrated with Aidolons

Same prompts, same conditions, wildly different results.

GPT-5: The Beautiful Disaster​

Let me tell you about GPT-5's first attempt at Space Invaders.

It started writing code. 1,000 lines of pure, confident code. Then, without warning, it scrapped everything and started over. The system literally has guardrails to prevent this behavior, with stern warnings about only doing this if absolutely necessary.

GPT-5 looked at those warnings and said, "Hold my beer."

After wrestling with it (and I mean wrestling), it finally produced the most visually stunning Space Invaders game I've ever seen. Gorgeous neon aesthetics, smooth animations, and a twist where missed shots wrap around the cosmos to hunt you down.

But getting there? Pure chaos.

The Other Contenders Surprise​

While GPT-5 was having an existential crisis, the other models quietly got to work.

Claude Opus 4.1: The Reliable Professional​

Claude delivered consistently across all tests. Its Space Invaders featured smooth gameplay and clean aesthetics. The yoga CRM? Crisp typography and everything actually worked. When it came to the Aidolons integration, it nailed it on the first try.

No drama. No starting over. Just solid results.

GLM 4.5: The Budget Champion​

Here's where things get interesting. GLM 4.5 is open source and ridiculously cheap – by far the most affordable option tested.

Its Space Invaders game had the most unhinged twist: You're not rescuing aliens, you're capturing them against their will. The game literally has a moral crisis halfway through and tells you to "help them escape" instead.

Mental illness in AI? Maybe. Creative genius? Definitely.

For the CRM, GLM delivered a robust dashboard with client management that rivaled the expensive models. The only stumble? It completely failed the Aidolons integration test.

The Baseline: Old Reliable​

Our default combo of GPT-3 and Gemini 2.5 Pro? It just worked. Every time. No surprises, no drama, consistent quality. Sometimes boring is exactly what you need.

The Real-World Breakdown​

After hours of testing, here's what each model actually costs you:

Model	Price	Reliability	Quality	Speed
Baseline (GPT-3 + Gemini)	$$	Excellent	Good	Fast
Claude Opus 4.1	$$$$	Excellent	Excellent	Moderate
GLM 4.5	$	Good	Good	Very Fast
GPT-5	$$$	Unpredictable	Excellent*	Fast**

*When it works
**When it's not rewriting everything

The Verdict Nobody Wants to Hear​

GPT-5 is revolutionary. It's also not ready.

When it works, it creates genuinely beautiful, complex applications that make other models look dated. The Space Invaders game it eventually produced was so gorgeous, I actually stopped testing just to play it for a while.

But here's the thing: Beautiful doesn't pay the bills if it takes three times longer and fails half the time.

What This Means for You​

If you're building apps with AI right now, here's my advice:

For production work: Stick with the baseline models. Or, if you don't mind paying for it, Claude 4.1. They're predictable, reliable, and won't make you question your sanity.

For creative experiments: GPT-5 might surprise you with something incredible. Just budget extra time for the chaos.

For budget-conscious projects: GLM 4.5 delivers shocking value. It's not perfect, but at that price point, it doesn't need to be.

The Hidden Opportunity​

Here's what most people miss: You don't need the "best" model to build profitable apps.

While everyone's waiting for GPT-5 to stabilize, you could be launching apps with the reliable models that already exist. The yoga instructor who needs a CRM doesn't care if it was built with GPT-5 or GLM – they care that it works and solves their problem.

Your Next Move​

The AI model wars will continue. New versions will launch. The hype cycle will repeat.

But right now, today, you have access to models that can build real, working applications. The question isn't which model is "best" – it's which one helps you ship faster and serve your users better.

The real winners aren't waiting for perfect AI. They're building with what works today.

If you want to see these models in action yourself, you can test them all in Aidolons. Export your apps to WordPress, connect your payment system, and start making money while everyone else argues about benchmarks.

Because at the end of the day, the best model is the one that helps you deliver value to your customers. Everything else is just noise.

Ready to Build Your Own AI Apps?​

You've seen what these models can do. Now it's your turn to start building.

No coding bootcamp required. No expensive developers. Just pick your model and start creating.

Yes, I'm ready to build with AI »

---

P.S. With Aidolons' 14-day money-back guarantee, if you don't launch a live app within 14 days, you pay absolutely nothing. Even if you just want to play with GPT-5's beautiful disasters, there's zero risk.