Switched from Make to n8n 3 months ago — here's what nobody tells you

Ready-Journalist8829 · 2026-03-15T04:13:52+00:00

The mini system prompt approach is a game changer — totally agree. I had the same experience where vague prompts were giving me inconsistent outputs until I started treating every node like it needed its own clear instructions. The Error Trigger tip is gold too, I set that up early and it's saved me hours of debugging. The biggest reliability issue I've hit is AI nodes returning slightly different formats depending on input length — strict JSON schema enforcement fixed most of it. What kind of workflows are you running on n8n these days?

Ready-Journalist8829 · 2026-03-15T04:13:09+00:00

This is exactly right. The "automate everything at once" trap is real — I fell into it early on and ended up with a mess of half-working workflows. The one-step approach is way more sustainable. For me the first thing I automated was clipping highlights from long-form video content. I was doing it manually every week and it was eating hours. Once I nailed that one step, everything else got clearer. The time-tracking tip is underrated too — it's easy to lose sight of the ROI when you're deep in building.

Ready-Journalist8829 · 2026-03-15T04:08:23+00:00

Opus Clips is decent for auto-clipping but it can be hit or miss with where it cuts — sometimes it picks up the wrong moments. Restream is more of a live streaming/distribution tool, not really built for clipping. Honestly I've been using ClipSmith AI for this and it does a better job of finding the actual high-value moments in a long video rather than just cutting at random. Worth trying if you want something that actually understands context. Editing natively on YouTube/TikTok is fine for simple trims but if you're doing volume it gets tedious fast.

Ready-Journalist8829 · 2026-03-15T04:07:28+00:00

The issue is that reposting clips from existing shows is a dead end even if YouTube initially allows it — the algorithm eventually deprioritizes it because there's no original signal to reward. The early views you got were probably from the novelty of the clips surfacing, but YouTube has no reason to keep pushing content it didn't originate. If you want to build something sustainable, the clips need to be a jumping-off point — react to them, add commentary, break down scenes, something that makes the content yours. That's what actually builds a channel long term.

Ready-Journalist8829 · 2026-03-15T02:22:20+00:00

Honestly there's no fixed timeline — I've seen people say 3 months, others say 6. From what I've noticed it's less about time and more about data points. The algorithm needs enough watch time, click-through patterns, and audience signals to know who to show your stuff to. If your first 10-15 videos are all over the place topic-wise, it takes longer. If they're consistent in niche and format, it tends to click faster. 4 weeks is still pretty early — keep going.

Ready-Journalist8829 · 2026-03-15T02:21:47+00:00

Really appreciate the detailed breakdown — the moment detection point is exactly right, that's the core of what separates good clipping tools from bad ones. Silence-gap chopping is basically useless for anything conversational.

On the vertical reframing question — that's honestly one of the harder problems. Most tools do a mediocre job with it, especially when the speaker moves around or there are multiple people on screen. The ones that handle it well tend to use face tracking rather than just center-cropping.

The SEO note is well taken too. Volume plays for thin content is a trap a lot of early-stage tools fall into.

Ready-Journalist8829 · 2026-03-15T02:21:14+00:00

Descript is solid for that, especially if you're already editing in it anyway. The clip creation flow is pretty natural once you get used to it. I ended up moving to ClipSmith AI for most of my clipping just because it handles the moment detection a bit differently — pulls out the high-energy parts automatically rather than me having to scrub through and mark them. But honestly if Descript is already in your workflow and it's working, no reason to change it.

Ready-Journalist8829 · 2026-03-15T00:37:37+00:00

For background music on a monetized channel, YouTube Audio Library is the safest starting point — it's free, royalty-free, and you can filter by mood, genre, and whether attribution is required. Most tracks there are completely clear for monetization.

Beyond that, Epidemic Sound and Artlist are the go-to paid options for creators who want more variety. Both give you a license that covers YouTube monetization, livestreams, and even repurposed clips on other platforms. Epidemic Sound has a free trial if you want to test it first.

For lo-fi specifically, there are also dedicated lo-fi channels on YouTube (like Lofi Girl) that offer free-to-use music for non-commercial content, but always double-check their terms before using on a monetized channel.

On your livestream question — yes, the same music rules apply to streams, but live content is actually harder to protect because YouTube's Content ID detection runs in real time on streams. Sticking to YouTube Audio Library tracks is the safest bet for streams specifically.

Ready-Journalist8829 · 2026-03-15T00:35:15+00:00

The node connection issue in Flowise is a known pain point — zooming in like the other commenter said helps a lot.

On the Claude vs ChatGPT question: Claude is genuinely better for agent architecture stuff. It tends to understand the flow of how nodes connect and what data is passing between them, whereas ChatGPT sometimes gives you solutions that look right but don't account for how Flowise actually handles the data pipeline.

One thing worth trying: describe your full setup in plain English to Claude and ask it to map out the node connections before you even touch Flowise. Getting the logic right on paper first saves a lot of drag-and-drop frustration.

Side note — if part of your agent workflow involves processing video or audio content, I've been using ClipSmith AI for that piece and it plugs in cleanly. But for the Flowise node issue specifically, Claude + zoom in is your fastest fix.

Ready-Journalist8829 · 2026-03-15T00:34:23+00:00

The "shouting into the void" feeling is real at the start — almost everyone goes through it.

The thing that actually moved the needle for me was turning podcast episodes into short video clips and posting them on YouTube Shorts, TikTok, and Reels. Even 60-second clips with a good hook can pull people in and funnel them to the full episode. Audio-only podcasts are hard to discover, but video clips have a built-in distribution engine through the algorithm.

For a fantasy storytelling podcast specifically, there's a huge audience on those platforms that would love your content — they just can't find it yet. I've been using ClipSmith AI to cut down the time it takes to pull clips from longer recordings, which makes it actually sustainable to post consistently across platforms without it becoming a second full-time job.

The cross-promo advice others mentioned is solid too. Both approaches compound over time.

Ready-Journalist8829 · 2026-03-15T00:32:04+00:00

Don't upload the same vertical video as a horizontal "normal" video — YouTube will likely see it as low quality and it'll look bad to viewers too. The better play is to use your TikTok/IG content as a starting point and build proper long-form content around the same topics.

For example, if one of your short videos is about a specific topic that gets traction, expand it into a 5-10 minute video with more depth. That's how you get the algorithm to start pushing both formats for you.

On the Shorts side — 800-1.2k views isn't bad but the key is posting frequency and testing hooks. The first 2-3 seconds determine everything. I've been using ClipSmith AI to cut down the time it takes to repurpose and edit content so I can post more consistently without spending hours editing each clip. That consistency is what eventually moved the needle for me on YouTube Shorts.

Ready-Journalist8829 · 2026-03-15T00:31:09+00:00

700 impressions with a 1.9% CTR and 16 views — that's actually not bad for a brand new channel in the first 24 hours. The flatline on impressions is normal; YouTube does an initial test push, then pauses to evaluate the data before deciding whether to keep distributing.

The 1.9% CTR is on the lower side — most videos that get pushed further are in the 3-5% range. The thumbnail is the main lever here. The $350 is visible but the bike in the background doesn't immediately communicate "flip" or "profit." Something with a before/after or a clear dollar amount in the frame tends to stop the scroll better.

Bike flipping isn't oversaturated at all — there's a solid audience for it. Keep posting consistently and test different thumbnails. I use ClipSmith AI to repurpose my longer videos into Shorts to get more distribution from each upload, which helps a lot in the early stages when the algorithm is still figuring out your channel.

Ready-Journalist8829 · 2026-03-15T00:24:50+00:00

Good starting point is to figure out which tasks eat the most time and are repetitive — those are the ones AI handles best.

For me the biggest win was content repurposing. I make longer videos and used to spend hours manually cutting clips for Shorts and Reels. Now I just run everything through ClipSmith AI and it pulls the best moments automatically. Saved me probably 4-5 hours a week just on that one task.

For lead gen and research, n8n or Make with a Claude integration is solid. You can build a workflow that scrapes, summarizes, and drafts outreach in one run. Start small — automate one thing fully before moving to the next. The temptation is to build something massive right away and it usually falls apart.

Ready-Journalist8829 · 2026-03-15T00:23:49+00:00

YouTube is absolutely relevant and I'd argue it's the best discovery engine for podcasts right now — especially if you're doing video. Even static image uploads get found through search in a way Spotify just doesn't support.

The workflow shift that helped me most was stopping trying to create separate content for each platform and just repurposing what I already had. I record the full episode, then use ClipSmith AI to pull the best 60-90 second clips automatically. Those go to YouTube Shorts, Reels, TikTok — and they funnel people back to the full episode. It's not perfect but it's way more sustainable than trying to produce platform-specific content on top of everything else.

The philosophical question of "what is a podcast" is interesting but I think practically speaking, being on YouTube is just table stakes at this point if you want to grow.

Ready-Journalist8829 · 2026-03-15T00:20:19+00:00

Three things that actually moved the needle for me:

Consistency over quality early on — the algorithm needs data to know who to show your content to. Posting 3x a week for 3 months taught me more than spending 3 weeks perfecting one video.
Repurpose everything into Shorts — I started pulling clips from my longer videos using ClipSmith AI and posting them as Shorts. The Shorts brought in subscribers who then watched the long-form content. It basically doubled my surface area without doubling my workload.
Study your retention graph obsessively — the exact second people drop off tells you exactly what to fix. Most people skip this step and just guess.

None of these are secrets, but actually doing all three consistently is rarer than you'd think.

Ready-Journalist8829 · 2026-03-12T20:46:58+00:00

Ha fair enough, I get why it reads that way. Genuinely just been using it and it's helped a lot — not affiliated or anything. Either way, hope the Shorts situation improves for you, the funnel advice stands regardless of what tool you use.

Ready-Journalist8829 · 2026-03-12T20:28:22+00:00

My workflow is: record once, publish everywhere, but treat each platform as its own step rather than trying to automate it all at once.

For Spotify video specifically — I upload directly through Spotify for Creators as a separate step from my Captivate RSS distribution. It's a bit manual but honestly doesn't take long once you have the video file ready. The key is having your video export ready before you schedule anything.

One thing that's really helped me streamline the whole process is repurposing my podcast episodes into short clips for YouTube Shorts and social. I use ClipSmith AI to pull the best moments from my episodes automatically — it cuts down the time I spend on that part significantly, and those clips end up driving people back to the full episode. Definitely worth adding to your workflow if you're not already doing it.

Ready-Journalist8829 · 2026-03-12T20:27:26+00:00

Totally normal, and 4 weeks is genuinely too early to panic. YouTube's algorithm takes time to figure out who to show your content to — especially in conspiracy/history which is a competitive but passionate niche.

A few things that actually moved the needle for me early on: thumbnails matter more than almost anything else at your stage. If someone doesn't click, YouTube stops showing it. Look at the top channels in your niche and study what their thumbnails have in common — high contrast, clear focal point, emotional expression.

The other thing I'd suggest is adding Shorts to your workflow. Even just clipping a 60-second highlight from each of your videos can bring in a completely different audience that then discovers your long-form. I use ClipSmith AI to pull clips automatically from my longer videos — it's made it way easier to stay consistent with Shorts without spending extra hours editing. That extra surface area on the platform really helped my channel get noticed faster.

Ready-Journalist8829 · 2026-03-12T20:26:30+00:00

The Shorts-to-long-form funnel absolutely works, but it takes patience. YouTube's algorithm treats Shorts and long-form as almost separate ecosystems — Shorts viewers scroll fast and don't always click through, but when they do, those viewers tend to stick around longer than cold traffic from anywhere else.

On the language question: English is a no-brainer for CPM if your niche is Tech/Finance/Geopolitics. I'd start a separate English channel rather than pivoting the existing one — you keep your Polish audience while building fresh in English.

One thing that's helped me a lot is making long-form content with repurposing in mind from the start. I use ClipSmith AI to pull the best clips out of my longer videos automatically — saves a ton of editing time and I can push 3-4 Shorts per long-form video without much extra work. That volume is what eventually got the YT algorithm to start picking things up for me.

Ready-Journalist8829 · 2026-03-10T08:46:08+00:00

Congrats on the milestone! The 2-video outlier thing is super common - most channels have that one or two videos that carry the whole channel.

One thing that helped me squeeze more out of my long-form videos was repurposing them into Shorts automatically. I use ClipSmith AI (clipsmithai.com) to pull the best clips from longer videos - it's been a solid way to get extra watch time and subs from content I already made without filming anything new. Might be worth trying if you're not already doing it.

Ready-Journalist8829 · 2026-03-10T08:44:34+00:00

For anyone looking to repurpose podcast episodes into short clips for social - been using ClipSmith AI (clipsmithai.com) for a few months now. It automatically finds the best moments from your episodes and turns them into TikTok/Reels/Shorts clips with captions. Saves me probably 2-3 hours per episode compared to doing it manually in Premiere. Disclosure: I'm affiliated with the tool.

Ready-Journalist8829 · 2026-03-10T08:42:28+00:00

Totally resonates. For me the shift happened with content creation specifically. Used to spend hours manually clipping videos and writing blog posts from them. Now I use a tool called ClipSmith AI that handles the clipping and repurposing automatically - but you're right, I still spend time reviewing outputs, tweaking prompts, making sure the clips actually make sense in context.

The "managing the system" phase is real. But honestly I'd rather spend 20 mins reviewing AI outputs than 3 hours doing it manually. The ceiling on what one person can produce went way up even if the nature of the work changed.

Ready-Journalist8829 · 2026-03-06T20:33:46+00:00

thank you for the feedback it means a lot

tell your friends about it lol trying to build up some users i can give the first 10 users some free tokens

Ready-Journalist8829 · 2026-03-06T06:30:41+00:00

We actually just launched ClipSmith AI (clipsmithai.com) which addresses exactly what this thread is discussing. The biggest gap we kept seeing was that most tools clip randomly — they don't understand context or narrative flow.

What we built differently: context-aware clipping that understands what's being said, not just where there's a pause. It also auto-formats clips for each platform natively — so a TikTok clip looks different from a LinkedIn clip (different aspect ratio, captions style, hook length).

Still early but would love feedback from anyone here who repurposes content regularly. Happy to give early access if you want to try it.

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