A podcast in my voice,
recorded without me.
Here is an automation that runs a podcast that sounds exactly like me and ships two episodes a day, with no studio and no microphone. A robot watches creators I respect, however long their videos run, and pulls about ten ideas from each into an ideation database. At the time of recording it held over four thousand ideas. I just mark the ones I like. Then a second robot takes a marked idea, researches it deeply for stats, case studies, and experiments, and writes a full script from my point of view, mirroring my beliefs and my audience. It clones my voice and reads the script into an audio file. I upload two files to Spotify and Apple, and they syndicate everywhere. Unless I tell you it is automated, you will think it is me talking. I have 145 episodes out this way without ever saying a word, each carrying a link that quietly sells for me around the clock.
A podcast is the most personal channel there is. So I built one that runs without me.
People have you in their ears for a long stretch, week after week, so a podcast builds an intimate brand faster than almost anything. The problem is the work. Gear, a studio, ideation, writing scripts, reading a teleprompter, hours a day gone. So I took myself out of the loop. A robot watches creators I respect, pulls the best ideas into a database, and writes each episode in my voice. My voice clone reads it, and I upload two finished files a day. Here is who it is for, what goes wrong without it, how it works, and what you get back.
Who daily automated podcast episodes is for
Anyone who sells something and wants a warmer audience without going on camera or into a studio. Coaches, consultants, course sellers, agency owners, anyone building a personal brand. It works even if you hate recording, because you never touch a microphone and the audience still hears your voice and your ideas.
What goes wrong without daily automated podcast episodes
Without it, a podcast eats your week. You need gear, a studio, time to find ideas, time to write, and time to record, so most people quit after a few episodes. You are not short on ideas. You are short on the hours it takes to turn them into finished episodes, week after week.
How the robot works
A robot watches long videos from creators you respect and pulls about ten ideas from each into a database. You mark the good ones. A second robot researches the marked idea, writes the script from your point of view, and clones your voice into the audio. You never record, never write, and never edit a thing.
What daily automated podcast episodes gives back each month
Two episodes a day that sound exactly like you, each carrying a link to your content, your funnels, or your products. Your brand grows while you sleep. And because a warmer audience buys more, the library of episodes quietly sells for you around the clock, compounding month after month.
I wanted the reach of a podcast. I just did not want to spend my life recording one.
This automation lets me run a podcast that sounds exactly like me and ships two episodes a day, without ever being in a studio or talking into a microphone. It starts with a robot whose only job is to watch a few creators I respect. It watches their videos no matter how long they run, even a four hour interview, and pulls out the gold. What are the main ideas. If I watched this, what should I remember that would help my audience.
Out of each video it pulls about ten ideas, cross-referenced with what my audience actually cares about, and drops them into an ideation database. At the time of recording I already had over four thousand ideas sitting in there. My only job is to open the database and mark the ideas I think are cool. That single mark is the whole trigger. From there the machine does the rest on its own.
A second robot picks up a marked idea and goes deep. It researches the topic for real stats, for case studies, for experiments that were run before, and for interesting facts, so the episode is better than the video the idea came from. Then it runs that research against a database that mirrors me, my beliefs, what I stand for, my philosophy, my audience, and my products, and writes a full podcast script from my perspective, as if I wrote it myself.
Once the script exists, it clones my voice and creates the finished audio file. All I do is upload two files a day to Spotify and Apple, and they syndicate to every podcast platform on their own. No mic, no studio, no time spent. Unless I tell you it is automated, you will think it is me. It is my voice, my ideas, my point of view, from the first second to the last.
The numbers here stay deliberately modest. Say the machine ships two episodes a day. That is a steady stream of content, and every single episode carries a link in its description that sends people to my long-form content, my funnels, or my products. The more episodes are out, the more links are quietly selling, and a warmer audience converts at a higher rate. All of it organic, with no ad spend, just episodes going out day after day.
Proof point: I have documented how I run my business on autopilot and the income streams behind it on YouTube, in my 28 income streams breakdown and a real look at the daily work in a day in my life, so the conservative numbers on this page are checkable.
Three moves that turn videos you respect into episodes in your own voice
What made this work was breaking a podcast into three jobs a machine can do while you sleep. Most people try to do all of it by hand, so they burn out and quit. But the ideas can be gathered for you, the research and script can be written for you, and even your voice can be cloned. All you keep is the one human decision that matters. The loop watches creators and fills a database, waits for you to mark the ideas you like, then writes and voices the episode on its own. That is how a podcast stops being a job and starts being a machine.
Watch the creators you respect and gather the ideas
The loop starts with a robot that watches a handful of creators you admire. It sits through their videos no matter how long they run, even a four hour interview, and pulls out the ten best ideas from each, the things worth remembering. It cross-references them with what your audience actually cares about, so nothing generic gets through, and drops each idea into an ideation database. At the time of recording mine held over four thousand ideas. You watch nothing and take no notes. The machine turns hours of other people’s content into a growing shelf of ideas that already fit your audience.
Mark the ideas you want, and let it research and write
This is the one human moment in the whole machine. You open the database and mark the ideas you think are cool, and that is the entire trigger. A second robot picks up a marked idea and goes deep, pulling real stats, case studies, past experiments, and interesting facts, so your episode ends up better than the video the idea came from. Then it runs all of that against a database that mirrors you, your beliefs, your philosophy, your audience, and your products, and writes a full script from your point of view. You did not write a word, yet the ideas and the angle are unmistakably yours.
Clone your voice and ship it to every platform
The last move is what makes it sound like you. The machine takes the finished script and reads it in your own cloned voice, producing a clean audio file. All you do is upload two files a day to Spotify and Apple, and they syndicate the episode to every podcast platform on their own. Unless you tell people it is automated, they will swear it is you talking. Each episode goes out carrying a link in its description, so while it grows your brand it also quietly sells, and two a day compounds into a large library that keeps working long after you upload it.
Once those three moves are in place, the podcast runs itself. The robot watches and gathers the ideas. You mark the ones you like. The machine researches, writes in your voice, clones your voice, and hands you a finished file to upload. Two episodes a day go out on autopilot, each one growing your brand and carrying a link that sells, and the library compounds month after month.
Before the system
- Gear, a studio, and a microphone to buy and set up
- Hours lost finding ideas and writing every script
- Reading a teleprompter and re-recording your mistakes
- A few episodes out before you burn out and quit
- A powerful channel left on the shelf because it costs too much time
After the system
- A robot gathers the ideas from creators you respect
- You mark the ones you like, nothing else
- The script is written in your voice, deeply researched
- Your cloned voice reads it, you upload two files a day
- A growing library of episodes that sells while you sleep
Prompt 1: choose the creators worth watching
The whole machine is only as good as the creators it watches. Pick the wrong ones and the ideas will not fit your audience. Use this prompt to build the short list of people whose videos are worth mining for your show.
Creator short-list builder
Act as a content strategist. I want to run a podcast in my own voice, and a robot will watch a few creators I respect and pull the best ideas from their videos for my show. About my world: [describe your topic, your audience, and the results you help them get]. Build the short list: which types of creators are worth watching for ideas that fit my audience, how to tell a deep source from a shallow one, how many creators to follow so the ideas stay fresh but on topic, and what to avoid so I never end up sounding like a copy. For each choice, one line on why it matters.
The output is a tight list of sources worth mining. Get this right and every idea the robot pulls already fits the people you are trying to reach.
Prompt 2: define the voice the machine will write in
The episodes only sound like you if the machine knows who you are. Before it writes a word, you feed it a picture of your beliefs and your audience. Use this prompt to write the voice profile that every script is built on.
Voice and belief profiler
Act as a brand voice specialist. A machine will write my podcast scripts, so I need to describe myself clearly enough that every episode sounds like me and reflects what I stand for. About me: [describe your beliefs, your philosophy, your audience, and the products you sell]. Write the profile: the core beliefs I want in every episode, the way I speak and the words I use, the things I would never say, and how my products should be mentioned so it feels natural. Keep it specific enough that a stranger could write in my voice. For each part, one line on why it matters.
The output is a voice profile the machine writes from. Feed it in once and every script that follows carries your point of view, not a generic one.
The 3-minute overview of how this works
Before the build steps, watch this short overview. It’s the exact video from the Automations Made Easy page, and it walks through the mechanics behind machines like this one. 1,000+ students have used these mechanics to save two hours a day, with zero coding.
Want to learn the mechanics behind sales conversion automations like this?
I teach the same mechanics that power this automated podcast inside Automations Made Easy. 1,000+ students have used these mechanics to save two hours a day and build little machines that quietly handle the boring work. No coding required.
Week one: your first episode written, voiced, and out in your own voice.
Most people put off a podcast because it sounds like a mountain of work, so they keep a powerful channel on the shelf while their brand stays quiet. That is exactly why this machine matters. A podcast is meant to start simple and run quietly, not arrive perfect. In week one you point the robot at a few creators, mark one idea you like, and watch a finished episode come back in your own voice, so you know it works before you scale it.
Week one looks like this. On Monday you pick the creators worth watching and let the robot start filling the idea database. By midweek you write the voice profile, your beliefs, your audience, your products, so the machine knows how you sound. Then you mark one idea, and the second robot researches it, writes the script, and clones your voice into the audio. By the end of the week you upload your first file to Spotify and Apple, and it syndicates everywhere on its own.
The point of the first week is not a big download count. The point is to confirm the robot gathers ideas that fit your audience, writes a script that sounds like you, and voices it cleanly enough to publish. Once that is locked, every episode after it comes off the same line, two a day on autopilot, while you do nothing but mark ideas and upload files.
From there the maths is simple and conservative. Say the machine ships two episodes a day. That is a steady stream of content, and each one carries a link to your funnels and products. A warmer audience converts at a higher rate, so even a modest share of listeners buying adds up over the months. Over three to five years, that library keeps growing and keeps selling, all from episodes you never had to record.
All of this runs while you work, sleep, or build your next offer. The robot watches, you mark, the machine writes and voices, and two episodes a day go out on their own. No gear, no studio, no teleprompter, no hours lost. Your podcast stops being a project you dread and becomes a machine that grows your brand and sells for you, one episode at a time.
Prompt 3: turn a marked idea into a full episode script
A good idea is only the start. The machine has to research it deeply and write it in your voice before it becomes an episode. Use this prompt to shape how a single marked idea is turned into a finished script.
Episode script builder
Act as a podcast script writer. I have marked an idea I want to cover, and I want it researched deeply and written into a full episode in my own voice. The idea: [paste the idea]. My voice profile: [paste the beliefs, audience, and products from Prompt 2]. Write the script: open with a hook, bring in real stats, case studies, or past experiments that make it stronger than a plain take, keep my point of view throughout, and close with one clear call to action toward my content or product. For each section, one line on why it belongs.
The output is a full episode ready to be voiced. Get this right and every idea you mark becomes a finished show that sounds like you and points to your offer.
Prompt 4: write the call to action every episode ends on
Every episode is a chance to send a listener somewhere that sells. The link in the description does the quiet work, but the spoken call to action decides how many click it. Use this prompt to write the close that turns a warm listener into a click.
Episode call-to-action writer
Act as a direct-response copywriter for audio. Every podcast episode I publish carries a link in the description, and I want a short spoken call to action that sends the right listeners to it. About my offer: [name what you sell and the one clear result it gives them]. Write the close: a natural line that fits the end of an episode, names the one result the listener wants, points them to the link in the description without sounding like an ad, and works whether the episode is long or short. Give me two versions, warm and direct, and one line each on when to use which.
The output is a close that turns listening into clicking. Get it right and every episode in your growing library keeps sending warm people to your offer.
How to build daily automated podcast episodes, step by step
Point a robot at the creators you respect
Start with the sources. You pick a handful of creators whose thinking you admire and whose audience overlaps yours. The robot then watches their videos for you, no matter how long they run, even a four hour interview. Most people would never sit through that, which is the point. The machine does the watching so you never have to. This is where the whole podcast begins, not with you at a microphone, but with a robot quietly mining the best minds in your space for the ideas worth sharing.
Pull ten ideas per video into a database
As the robot watches, it does the thinking a good note-taker would. What are the main ideas here. If someone in my audience watched this, what should they remember. It pulls about ten ideas from each video and cross-references them with what your audience cares about, so nothing generic slips in. Each idea lands in an ideation database. At the time of recording mine held over four thousand ideas, all gathered without me watching a single minute. This is a growing shelf of episode material that already fits the people you serve.
Mark the ideas you want to cover
This is your one job in the whole machine. You open the database, read through the ideas, and mark the ones you think are cool. That single mark is the trigger for everything that follows. You are not writing, not researching, not recording, you are just choosing. It takes a couple of minutes, and it is the only human judgment the podcast needs. Everything before it was gathered for you, and everything after it is built for you. All the machine waits for is your taste.
Let it research and write the script in your voice
Now the second robot goes to work. It takes your marked idea and researches it deeply, pulling real stats, case studies, past experiments, and interesting facts, so the episode ends up better than the video the idea came from. Then it runs everything against a database that mirrors you, your beliefs, your philosophy, your audience, and your products, and writes a full script from your point of view. You wrote nothing, yet the angle, the opinions, and the voice are all unmistakably yours.
Clone your voice into the finished audio
With the script ready, the machine reads it in your own cloned voice and produces a clean audio file. This is the part that makes people swear it is really you. It is your voice, your pacing, your way of speaking, saying your ideas. There is no microphone, no studio, and no recording session anywhere in this. Yet what comes out is an episode that sounds like you sat down and recorded it yourself. Unless you tell your listeners it is automated, they will never guess.
Upload two files a day and let them syndicate
Final piece, and the only thing left for you to do. You take the finished audio and upload it to Spotify and Apple, and from there it syndicates to every podcast platform on its own. Each episode carries a link in its description that points to your content, your funnels, or your products. Do this twice a day and the library grows fast. At the time of recording I had 145 episodes out this way, without ever saying a word, each one quietly sending warm listeners toward my offer around the clock.
The robot watches and gathers
It watches creators you respect and pulls about ten ideas per video into a database.
You mark the ideas you like
Your one job. A single mark triggers the research, the script, and the voice.
It researches, writes, and voices
The machine writes the script in your voice and clones your voice into the audio.
You upload and it syndicates
Two files a day go to Spotify and Apple, and each episode carries a link that sells.
Build this automated podcast inside the same playbook 1,000+ students use
Automations Made Easy teaches the mechanics behind sales conversion machines like this one. Step by step, no code, plain English. Save two hours a day and own little machines that grow your brand and sell for you, while you spend your time on the work that matters.
The six months after I switched it on
Here is the shape of the first six months after I turned the automated podcast on. The line tracks the value of the sales the episodes brought in, listeners who followed a link in a description to my content, my funnels, or my products, which is exactly how this machine pays off in practice.
Monthly value from a growing library of episodes
Three things matter on this chart. The value climbs steadily as the library grows and more episodes send warm listeners to my offer, not in a spike. The gains come from content that was written and voiced for me, with no studio and no recording time. And every one of those months happens while the robot watches, writes, and voices new episodes for me.
What other students built with daily automated podcast episodes
I teach the simple skills behind machines like this in Automations Made Easy. Students who built their own version sent back what changed in their first month.
“I always wanted a podcast but hated recording. Now a robot writes it in my voice and clones my voice for the audio. I just mark ideas and upload. My audience thinks it is really me.”
“The magic was the idea database. It watches the creators I respect and fills a shelf of topics my audience actually wants. I never run out, and I never sit through a four hour video again.”
“I stopped losing my weeks to scripts and studio time. A prospect who hears me for an hour trusts me before we ever talk, and the link in each episode sends them to my offer on its own.”
“Knowing week one was just picking creators and marking one idea kept it easy. By month two the episodes were going out on their own, and my brand was growing while I barely touched a thing.”
What’s inside Automations Made Easy
AME isn’t a library of pre-built automations. Every business is slightly different. What’s reusable across all of them is the underlying mechanics: how to set up little machines that listen, write, and follow up while you sleep, and how to wire the pieces together without writing code.
The program walks you through six modules: The Right Tools (the cost-effective, no-code stack I actually use), Task Selection Mastery (which automations are worth building first), Design Secrets (mapping an automation before you build it), Zero to Hero (complete beginner to confident automator), Real-World Application (we build a full automation together, end to end), and Monetization Mastery (turn the skill into a side-business).
It also includes done-for-you templates you import in two clicks, over-the-shoulder training videos, and the same playbook 1,000+ students have used to save two hours a day. No coding required. If you can copy and paste, you can build this.
The automated podcast: common questions
Pulled from what readers and Automations Made Easy students ask most.
Do I need a studio or a microphone for this?
No. There is no studio, no microphone, and no recording session. A robot watches the creators you respect, pulls the ideas, writes the script in your voice, and a voice clone reads it into an audio file. You only upload the finished file to Spotify and Apple, which syndicate it everywhere. I have 145 episodes out this way without ever saying a word into a mic.
Will it really sound like me?
Yes. The script is written from a database that mirrors your beliefs, your philosophy, your audience, and your products, so the ideas are yours. Then your own cloned voice reads it. Unless you tell people it is automated, they will think it is you talking. It is your voice, your ideas, your point of view, start to finish.
Where do the ideas come from?
A robot watches long-form videos from creators you respect, however long they run, and pulls about ten ideas from each into an ideation database. At the time of recording mine held over four thousand ideas. You just mark the ones you like, and another robot researches the marked idea deeply and writes it into a full episode script.
How does a podcast actually make money?
Every episode carries a link in the description that sends people to your content, your funnels, or your products. The more episodes you have out, the more links are quietly selling for you around the clock. A podcast is intimate, so it grows your brand fast, and a warmer audience converts at a higher rate. All of it organic, with no ad spend.
How much work is it once it is running?
Almost none. Your only job is to mark the ideas you like and upload the two finished audio files. The watching, the research, the script, and the voice are all handled for you. I ship two episodes a day on complete autopilot, which is how I reached 145 episodes without spending a second in a studio.
More Money Makers like this one
Built from the same handful of mechanics. Each one captures, converts, or earns money that would have walked out the door.
Build this automated podcast yourself, or learn the mechanics inside Automations Made Easy.
If you want to learn the mechanics behind sales conversion automations like this and build your own at home, Automations Made Easy is the playbook. Step by step, no code, plain English. If you want to talk through how to pick your creators, wire the idea database, and set up the voice so it sounds like you, I take a small number of consulting clients each month.
€497 one-time · Lifetime access · 1,000+ students
