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Here’s How I Finally Wrapped My 9th Grade Film Thanks to AI Video Generation

These are the AI characters I created to star in the big scene from “The Portal in Central Park,” originally written by me and a few friends decades ago and finally brought to life through Google’s Veo 3’s AI superpowers. Here’s how I did it.

When I was in 9th grade, I joined a school project with some friends. We were going to shoot a science fiction mini movie around Central Park in New York City. We wrote part of our time travel script, discussed the many logistics and locations we’d shoot in. 

Young Filmmakers on the Streets of New York?
I remember we were going to feature a tall, black obelisk that at the time was found at the entrance to Central Park on 59th Street and 5th Avenue. The sculpture would be the ‘time portal’ that our characters would walk towards and disappear through. Clever editing would avoid the need for special effects.

We were in ‘preproduction’ that spring, and it would have been a spectacular time to film on the streets of New York. Though we were all inspired by the potential of our little project, most eventually realized the many complexities of making a movie and how long it really would take to pull it off. Still, I felt undeterred. But the others had a different (more realistic) view.

Our project started losing steam, and ultimately, our short flick never got out of development. It was simply too big a lift. A few months later, we all graduated, and that was it.

My Origin Story that Never Happened
This would have been my origin story as a fifteen-year-old filmmaker, but it was not to be. (Instead, a year later, I found a more structured opportunity to explore my video production interests in high school.) 

But I’ve never forgotten about my first student movie short that never was. That obelisk scene is seared into my long-term memory. I really wanted to capture that shot. I saw it so clearly.

I still do.

AI Video Generation Can Bring Your Vision to Life
Over the decades, I’ve occasionally found myself returning to the nagging sadness that we never finished our movie. Heck, we never started it!

But if I could somehow go back to the future and capture that obelisk scene, maybe I could check it off my bucket list.

Well, now I can… from the comfort of my home office with a little text-to-video prompting and the power of AI video generation.

Yes, the magic of Gen AI is transforming our existence on a daily basis. And yes, it can now enable me to finally manifest my dusty vision out of thin air. 

So that’s exactly what I decided to do. 

There are multiple platforms that are up to the task. I decided to use Google’s Veo 3.1 and Flow/Scenebuilder. So, I signed up for the Google AI Pro plan for twenty bucks a month. I felt that would give me enough generative AI credits for what would be a 30-second scene.Text to Image Prompting
First, I created still images of my three main characters using Google Whisk and its text-to-image generation powers:

The Leader

Second in Command

The Nerd

Text to Video Prompting in Scenebuilder
Any remnants of our original script were long gone, but as I’ve said, the obelisk imagery remained clearly in my mind.

I’ve admittedly updated the characters (away from a few school kids) and added a few lines (current scriptwriter’s prerogative). Yes, these AI characters can talk!

Then, I uploaded the images of my AI actors and began typing in prompts for individual shots around this one scene. I relied on the ‘Scenebuilder’ mode to retain the same characters and background from shot to shot.

Veo 3.1 is impressive, but it also hallucinated a fair amount, adding in new scripted lines, a few of which I end up using. 

“The Portal in Central Park,” My AI-Generated Movie Scene
And here’s my completed 30-second scene, “The Portal in Central Park”… finally ready for its premiere all these decades later.

Imperfect, Yet Simultaneously Stunning
Okay. This is not exactly going to win any awards, and it does look rather fake (Though not entirely fake… It could easily serve as an early draft for a pitch to do a real shoot).

And I also found myself struggling to get precisely what I wanted. (Perhaps that’s due to the limitations in my basic text prompting skills.) Strangely, I felt like a director arguing with live actors who didn’t want to follow my direction.

As I mentioned, I ended up accepting the actors’ improv in a couple of the hallucinations. So, this scene isn’t exactly what I originally envisioned, but it’s close.

The background music is also AI-generated through Google’s MusicFX platform. I just typed in… “A cinematic feeling piece of music suggesting that time is running out. Exciting violins. Medium tempo.”

Click. One try is all it took.

That’s a Wrap!
Ultimately, I found it amazing what I was able to accomplish in just a few hours. That said, I edited the clips together manually in Final Cut Pro. This part still required (for now) nuanced timing and a human touch.

Each clip took about a minute to generate using Veo 3.1 Fast mode. And yes, there were many that ended up on the cutting room floor. 

But as imperfect as the results were, I can still say I successfully brought my teenage cinematic vision ‘to life.’

The Future of Visual Storytelling
But I must admit there’s more to this exercise than completing the big scene from an old school project that I’m sure my former classmates have long forgotten about.

The truth is I’m back to where I started as a teenager. I still feel the creative passion to bring stories to life, but I again need to learn how to use the tools available to me.

And that’s exactly what I’m doing.

For twenty bucks, you and I can conjure up complete videos with stories and characters based on simple text prompts. It feels entirely like a fantasy. But it’s not. 

The only part of the process that feels normal is this: 

-The power of the written word is as strong as ever.

Keep It Real
We’re clearly in the middle of a creative revolution. If you want to keep up, there’s no time to lose.

Learn how to use these new AI-fueled creative tools, which will continue to improve… There are countless reasons why.

…Or else you may find yourself eventually becoming the hallucination on the cutting room floor.

Avoid this Surprise When Installing Your Google Nest Learning Thermostat Gen 4

Getting 12 years out of any piece of tech is more than anyone should expect. That said, if it’s still working and doing the job, why would you want to replace it? (Unless you simply need the latest and greatest.) 

Well, you’d pull the plug when the manufacturer forces you to. If the old unit’s tech is so obsolete, it can’t be maintained by the manufacturer’s current standards. And that’s what’s happened to my trusty Nest Learning Thermostat (2nd gen) from 2013.

Goodbye Nest Learning Thermostat Gen 2
In tech years, it’s like a century old. A lot’s happened, including Google buying Nest to enter the smart home market. 

So yes, Google has walked away from its older Nest Learning Thermostat population. The official Google language is “end of support.” What that means is 1st and 2nd-generation models can no longer be reached remotely via the app on your phone as of October 25, 2025. (They’ve been “unpaired and removed” from the Nest app or Home app.) 

Poof.

It’s Time to Buy Gen 4
Yes, you can still operate these ‘relics’ manually, but I’ve always spent more time interfacing with my Nest Learning Thermostat through the app on my iPhone.

Most significantly, these units are no longer supported, which according to Google “may lead to decreased performance with continued use.” So that’s code for… it’s just a matter of time till they stop working altogether.

Look, I get it. No web-connected piece of tech is going to last forever.

So, if you want your Google Nest Learning Thermostat ecosystem to remain reliable and fully operational, you have no choice but to upgrade to the current 4th generation model, which costs $279.99.

Ouch!

Fortunately, Google has softened the blow by offering a $130 discount for current 1st and 2nd gen owners. So that effectively drops the price point to $149.99 plus tax. (Shipping is free.)

Registered owners should have received an emailed discount code towards the purchase of the current 4th gen model.

Three Color Choices
So Barrett went ahead and bought himself an early holiday present with his discount code. (Thank you, Google.) 

My hardest decision was deciding which color to get. I decided on Obsidian with a black base. (I felt it would present a cleaner, unified aesthetic in our living room. (The other choices are silver and gold with a white base.)

My Installation Surprise
Happily, installing my new 4th gen unit was the essentially the same as my old 2nd gen model. 

The only relevant difference was the size of the circular base plate, which you screw onto the wall. (The thermostat clicks onto the base plate.)

Here’s the problem: 

The new base plate is slightly smaller than the old one. And that tiny footprint difference can be a really big deal.

Why? Well, the new base plate will reveal a little more of your wall… 
that might be unpainted!

Surprise!

Yes, that’s exactly what happened to me. I realized there would be dark, thin paint ring behind my new, gleaming Google Nest Learning Thermostat that revealed our living room’s paint color from years ago.

Granted, the 4th gen thermostat’s beautiful face is bigger than my gen 2’s screen. It’s plenty big to effectively block the view where the thermostat’s smaller circular ‘neck’ touches the wall.

But I would know, and if you looked from an angle, you’d definitely see the old paint. Ugh! 

Sure, Google has thought of this and provided a white trim plate to use that would cover up this kind of problem.

But I didn’t want to use the trim plate. I liked the clean look of the black, circular orb perfectly protruding from my wall like a futuristic Cylon interface.

I just need to get rid of that thin ring of old paint.

I Had to Put on My Painter’s Hat
So, I hurried downstairs and rummaged through my basement to see if I still had a little bit of our living room’s current paint in a can somewhere. I eventually found it, picked up a brush and performed the paint fix.

This of course delayed my installation process, as I had to wait for the paint to dry before continuing. But it was clearly a step worth taking.

So just remember that you might need to bake that extra time into your own installation plan. 

Cool New Sensor Pucks
If you’ve been living with a 1st or 2nd generation model, you may not know about Google’s little wireless ‘satellite’ temperature-sensing pucks to pair with your main thermostat. (I didn’t.)

These “Nest Temperature Sensors” (now 2nd generation) can be placed throughout your home to help create a more even temperature throughout your rooms (effectively simulating some of the benefits of a multi-zone HVAC system).

When you buy a 4th gen Google Nest Learning Thermostat, it also comes with one Nest Temperature Sensor. (You can purchase more separately.)

With multiple sensors, you can schedule which sensor controls your thermostat at different times of the day. You can always default to the sensor in your base unit. And you can also average between your sensors.

I placed my temperature sensor in our sunroom, which tends to be cooler during the winter months than the rest of our house. Hopefully, the sensor will convince my base unit (in our living room) to keep providing a little more warmth in the early evening when my family tends to hang out in our sunroom. (That’s how I programmed it.)

Upgrade Complete!
I’ve always enjoyed my old Nest Learning Thermostat as the center of my smart home experience. And now that I’ve upgraded, I’m pleased that I’ve refreshed my relationship with Google’s gen 4 model.

I hope it takes me all the way to 2037. But with the pace of change these days, something tells me we may be discussing this again a tad sooner…

Here’s What Happened When I Tried to Create an AI-Generated Podcast about my Blog

I invited Google’s NotebookLM to create “deep dive” podcasts based on a few of my blog posts, and here are the stunningly good results.

The written word, though certainly enduring, has plenty of competition out there. We all consume information in different ways. But quite frankly, photos, videos and podcasts are often more compelling and clickable.

Barrett’s Podcast?
I’ve occasionally thought about creating a companion At Home with Tech podcast, but that takes a fair amount of work to maintain. (It’s enough of a challenge for a busy dad to pump out the written version every week.)

That said, I did create this pilot podcast episode some years back.

How to Create Your Photo Archive in the Cloud: The Podcast

It was great fun to do… but too big of an ongoing lift.

ElevenLabs
Last year, I revisited the idea and considered applying a different solution using A.I. to more quickly generate my podcast. How? 

I first cloned my voice by digitizing it through ElevenLabs’ website. Then, I simply copied and pasted my blog’s text into ElevenLab’s interface to magically create a spoken version with my cloned voice! It was certainly much quicker than doing the voice work myself… not that I can’t do that.

Yes. Text to voice… BAM!

Here’s that pilot:

Should You Clone your Voice to Help Preserve your Legacy?

While certainly simpler and faster, I still didn’t greenlight my own podcast series. (I decided to stick with my core product.)

But I haven’t stopped pondering the challenge… and opportunity.

NotebookLM
A few months back, a friend of mine showed me a nifty Google trick using A.I. to magically create an audio podcast. Google’s tool is NotebookLM. He put it to work and generated an authentic sounding A.I. conversation about my career by simply loading my LinkedIn profile. 

Within minutes, a breezy 10-minute audio podcast appeared on his iPhone with two relaxed A.I. personalities chatting about my awesome life to date.

It was flattering, but also a bit weird to hear ‘people’ talking about me in this way. And beyond marveling at this parlor trick, I felt it wasn’t usable in a broader sense. (I wasn’t going to post this over-the-top publicity anywhere.)

I can Now Create my Podcast in One Click!
But I thought about NotebookLM again recently and navigated over to the URL: notebooklm.google to see how it’s been evolving.  

I realized this virtual research assistant actually has plenty of uses (like summarizing marketing plans, course reading, research notes, meeting transcripts and sales documents). 

And then, I spotted the ‘Audio Overview’ section in the top right of the page.  That’s the place where you generate the A.I. conversation about your topic. And there are any number of ways to feed in what you want the A.I. to absorb and then talk about (websites, PDFs, Google Docs and even simple text).

So, I uploaded a link to my recent blog post, and within a few minutes, my podcast was ready. Click. I listened to the likable pair of podcast hosts effortlessly discussing the detail from my blog. 

My jaw dropped. It all felt like magic. I immediately downloaded the file.
Here it is:

Safe Garden Hose Watering Solutions

Yes, I’ve done a bit of light editing to it using GarageBand. I’ve also trimmed out a few sentences where the A.I. rambled on in a few places. (I reserve that luxury for myself, thank you very much.) Then, I added in some music at the top and back. But that was it. Easy.

Here are a couple more…

My Kitchen’s Unexplained Ping: A Tech Mystery


UPS Battery Replacement: Protecting Your Computer from a Blackout


The Voices Sound So Real
NotebookLM’s A.I. voices are remarkably life-like. The casual banter spoken between this virtual woman-and-man team seems especially friendly and so authentic. 

The result speaks for itself. That said, as incredible as this may appear, some of the ‘summarizing’ occasionally offered additional ‘thinking’ that fell slightly outside of my core perspective. (I suppose a real person could also do that.) 

Still, I think this auto-generated podcast could be a nice companion piece that offers an alternate way to consume the essence of my blog’s content. 

Will You Enjoy Listening to This?
We’ll see if I add in this A.I. podcast as an ongoing feature to my blogging. It’s hard to know if everyone (anyone) wants to regularly listen to two virtual coffee-talk personalities doing a deep-dive exploration of my blog.

But for now, I’ve got to admit… NotebookLM is much more than an amazing parlor trick.