u/Fun-Emphasis4232

Been using AI tools for my YouTube channel for months. Still spending more time fixing the output than filming.

Not knocking AI in general. It’s genuinely useful. But I kept hitting the same problems no matter which tool I tried.

The topics were always too broad. Stuff that could fit any channel in my niche, nothing that actually matched where my channel sits specifically.

Then trying to fix that meant:

• re-prompting many times just to get something closer
• adding more context, running it again
• getting something slightly better, still not quite right
• giving up and going with my gut anyway

The scripts were worse. I’d get a full draft back and find:

• examples I never gave
• references I couldn’t verify
• specific things presented like facts that were probably just filled in to make the argument work

I was fact-checking my own script before I could film it.

And even when everything checked out, it didn’t sound like me. It sounded like a YouTube video. The generic version of whatever I was trying to say.

I’m in that middle zone where I’m posting consistently and the channel is growing, but every video still starts from scratch because nothing actually knows my channel well enough to be useful.

So I ended up building something around this called Tukey. Still pretty early and honestly not sure if I’m solving the right problems or just the ones that bother me specifically.

If you’ve tried AI tools in your workflow, do you actually run into the same stuff? Would genuinely love to know if this is a me problem or something other creators feel too.

Not talking about the ones pushed through sponsored content or sitting at the top of search results.

Curious about the tools that actually stuck in your daily workflow and how you even found them in the first place. Feels like the genuinely useful ones are always the hardest to come across.

Not talking about the stuff you found through sponsored videos or topped the search results.

I'm curious about the tools that actually stuck in your daily video production workflow. Wanted to know how that even happens for most people here.

I do see there are a lot of articles talking about automation workflows for faceless AI videos tho.

What is the secret recipe for a viral account? How do you get a million views from one single video? Those are the questions that followed me around when I was working at ByteDance, where creators were desperately trying to find a path to growth and always believed that TikTok internal people like me might hold the answer. I spent months working with PMs from ByteDance's Ocean Engine team digging for better insights, trying to give creators something real. What I kept coming back to was this: it had nothing to do with one video going viral. It had everything to do with whether a channel lasts. Creativity is the real productivity. Content creation is a marathon, not a 100-meter sprint.

The creators I worked with most closely, especially informational creators in finance, tech, and education, were getting whipped by the traffic cycle. Trapped by the algorithm. Fearing they'd miss every trending topic. They kept their eyes open at all times, scanning competitors, scrolling the internet, trying to catch every idea that might apply to their channel before someone else did.

Here's one recent example. Right after Openclaw came into the market, it wasn't just AI industry creators who panicked. Creators from tech, finance, trading, business, and media were all asking themselves: should this be a video? Will my audience want this? Am I missing the window? After years of building their channel, their ideas felt drained and the pressure had doubled. The channel was becoming a job that didn't pay enough.

You probably think this is where I introduce you to a better analytics tool.

There are already hundreds of them. They analyze what already happened and report it back. Views dropped. CTR fell. Watch time declined. The implicit promise is: use this data to make better decisions. But the whole category is built backward. Creators don't struggle with data access. They struggle with knowing what to do with it. The gap isn't information. It's the translation from information to something filmable.

The same problem lives on the AI script side. You've used one of these tools at least once. Something feels off about what comes out, even when you can't explain why. The reason generic AI scripts don't work has nothing to do with capability. It's training data. An AI trained on all YouTube creators sounds like all YouTube creators averaged together. That average sounds like no one in particular. And an audience, even if they can't articulate it, feels the difference between a creator speaking in their own voice and a creator reading a script that sounds like it came from a search result.

The production gap and the voice problem. Those two things together are the reason we started Tukey.

I'm not going to pitch you. All I want is an honest description of what we're building.

Tukey connects to a creator's channel. It reads their caption transcripts. It runs a dialogue that ends with something filmable: a script in their actual voice, a thumbnail direction scored against their CTR history, and a pre-publish prediction about how the video will perform.

Then it grades itself.

Every prediction logged. Every miss published. Publicly.

We call it the Honesty Module. It's not a feature we added because it tested well. It's the founding idea. An AI that admits when it's wrong is more useful and more trustworthy than one that doesn't.

Here's what actually scares us.

We are building exactly the kind of tool that could make the voice problem worse, if we get it wrong.

If Tukey's voice calibration is mediocre, if the scripts it produces are good but not quite right, creators will publish them anyway. Because the output is close enough and they're tired. And a thousand creators publishing AI-assisted scripts that are 80% their voice will slowly, collectively, sand off the edges of what made each of them distinct.

We are aware of this. We think about it constantly. The Honesty Module is partly our answer to it. A commitment to tell creators the truth about what Tukey is getting right and wrong, so they can use their own judgment about when to trust it and when to ignore it.

But the deeper answer is that the only way to not make this worse is to be obsessed with calibration quality. Not good enough. Indistinguishable from the creator's own voice, or we don't ship it.

If you make YouTube videos and you've ever felt like the tools you use don't actually know you, that your effort and your results aren't connected in the way you'd expect, that you'd rather know the truth about your content than be handed one more cheerleader, then this is for you.

Specifically, the first twenty of you.

We're onboarding the first 20 design partners in June. Free access for three months in exchange for honest feedback. Not beta testers. People whose reaction will shape what Tukey becomes.

If you're a creator in the 10K to 500K range, making finance, education, or tech content, and you want in, reply to this letter or DM me directly.

No pitch deck. No demo required. Just a real conversation about whether this solves a real problem for you.

Alright fellas here's what I want to say, when you have a real point of view on something, topics stop being a thing you search for. You read an article that contradicts what most people in your niche believe and you have a video. You notice the same pattern in three separate things you came across this week and you have a video. A comment on your last video asks something you never thought to address and you have a video. None of that is brainstorming. The perspective does it without you trying.

Creators who run out are almost always working from a topic list. They covered the obvious stuff in year one, the slightly less obvious in year two, and by year three they're either repeating themselves or chasing whatever is trending that week. From working with creators across different informative niches, the topic list problem shows up almost every time someone hits a wall around year two or three. It's not a creativity failure, it's a structural one.

The narrower your focus the more you find inside it, which sounds wrong but isn't. A creator doing broad personal finance has a shallow pool. A creator with a specific take on how regular people misunderstand money has basically unlimited content because that frame applies to everything, every news story, every policy change, every cultural shift. The specificity is what makes it renewable.

On burnout specifically, the two things that actually kill informative creators are volume pressure and posting into silence. Volume pressure is a workflow problem, batch your research separately from your writing separately from your recording and it gets more manageable. The silence problem is harder. From what I've seen, the creators who keep going for years almost always have some version of real audience connection, not just view counts. Comments where someone says the video changed how they think about something. That kind of feedback sustains in a way that metrics don't.

The last thing, and this one matters more than people admit, most long-term informative creators consume a lot outside their niche without the pressure of turning it into content. The moment you read purely to extract videos you start resenting the reading. Keeping those two things even slightly separate is what makes both last.

>The 10k mark is not a skill threshold. It is a persistence threshold with skill layered on top. Most people have enough skill to get there. Almost nobody has the patience.

Most advice on this is recycled garbage. "Post consistently" "Engage with your audience" Cool, thanks. Here is what that actually means in practice and what nobody bothers to explain properly.

1. Your first 50 videos are tuition, not content

Stop treating early videos like they are supposed to perform. They are practice reps. The creators who hit 10k fastest are the ones who understood this early and optimized for learning speed, not view count. Post fast, study the retention graphs, adjust, repeat.

2. Pick an angle not a topic

"Gaming channel" is not a strategy. "I break down why pro players make specific decisions in real time" is a strategy. The niche is not what you talk about, it is the specific reason someone would watch you over the thousand other people talking about the same thing. If you cannot finish the sentence "your channel is the only one that..." you do not have an angle yet.

3. Your thumbnail is a billboard competing with ten others on the same screen

Open YouTube in an incognito tab. Search your topic. Screenshot the results page. Now put your thumbnail in that lineup. Does it stand out or disappear? Most creators never do this test and wonder why their CTR is low.

4. The first 30 seconds of your video is the only thing that matters initially

YouTube measures early retention hard. If you lose people in the first 30 seconds consistently across multiple videos the algorithm stops testing you with new audiences. No slow intros, no "welcome back to the channel", no explaining what the video is about. Start inside the value immediately.

5. Study your retention graph like it is a medical chart

Every drop in the graph is a specific moment you lost someone. Watch your own video at every drop point and figure out why. Was the pacing slow? Did you go on a tangent? Did the energy drop? This graph is the only honest feedback you will ever get and most creators glance at it once and move on.

6. One platform first, not five

Spreading across TikTok, Instagram, YouTube Shorts and long form simultaneously when you are small means you are building nothing properly anywhere. Pick the format that fits your content and go deep on it until you have cracked it. Expand later.

7. Shorts should funnel, not just exist

Posting Shorts that have no connection to your long form content is just running two separate channels for the effort of one. Your Shorts need to create a reason to go deeper. End them on an open loop. Reference something your long form covers. Give people a reason to find the rest of your content.

8. Comments are your free market research

The questions people ask in your comments are your next ten video ideas. The timestamps people reference are the moments that resonated most. The complaints are the gaps you have not filled yet. Most creators respond to comments socially and miss that they are sitting on a data goldmine.

9. Titles are not descriptions, they are promises

A good title makes a specific implicit promise that the video then delivers on. "I tested every protein powder and ranked them" is a promise. "My protein powder journey" is not. Write ten title options per video and pick the one that creates the most urgency or curiosity without being clickbait. There is a difference between a title that tricks someone into clicking and one that earns the click.

10. The compound effect is real but the timeline is brutal

Most channels that hit 10k did not grow linearly. They plateaued for months, sometimes close to a year, and then one video broke through and pulled the back catalog with it. The math works but only if you are still posting when it kicks in. The single biggest predictor of hitting 10k is not talent or production quality. It is whether you were still posting at month eight when most people had already quit.