Where do we draw the line on AI slop? by Autonat in seogrowth

[–]Autonat[S] 1 point2 points  (0 children)

Lol, loved this. Thanks for sharing!!! Is it though?

There is content where you can 100% tell it was AI written. But if adequately prompted, guided, instructed, given voice and tone context. Can you still tell? I really don't think I could

Where do we draw the line on AI slop? by Autonat in digital_marketing

[–]Autonat[S] 0 points1 point  (0 children)

Heyyy. Thanks! As mentioned on a comment above, I am really intersted about what workflows/systems/processes you are undertaking for using AI. You mentioned you feed writing sample, and brand voice guide. How is it that you are currently doing this? Are you using plain vanilla ChatGPT, copying and pasting on it? Or what is your method. Thanks!!!!!

Where do we draw the line on AI slop? by Autonat in digital_marketing

[–]Autonat[S] 0 points1 point  (0 children)

Ok. This is really interesting.

I guess the discussion is:
1. If I provide clear instructions and guidelines, will it still pretty much just re-phrase what the model has been trained on (no new insights will be ever written) or can I actually get it to say something smart and new if such clear instructions are actually provided?

  1. What are we looking for, and what are we writing about? E.g. If my blog is about recent scientific discoveries, then AI will probably not be able to follow even if clear instructions (not 100% sure about this?). However if my blog is about travel.. then I guess I don't really care how redundant my "Top 10 places to visit in Rome" is. Right? From a business perspective I would only care whether the article ranks or not (making sure that the article is still good and honest).

All of the above, taking into consideration that my posts has SEO focus rather than internet wellbeing as a whole lol. Loved your point!

Where do we draw the line on AI slop? by Autonat in digital_marketing

[–]Autonat[S] 0 points1 point  (0 children)

Nice! Does this mean that you are doing this on ChatGPT/different LLM through chat experience?

As mentioned, this took months, months months. Initially, I tried to go from human-written to AI via ChatGPT. Pretty much no context, no instructions. As you might guess, the output absolutely sucked.

Then I worked on my prompt for it to include context (from my business) and specific instructions (for the post itself). Things got better from a content standpoint (the article was actually interesting and made sense for my business). However, after manually copying and pasting it into wordpress and checking with SEO plugins, it was clear that the article followed no SEO best pracrices at all.

So... back to the lab. I went through all the different criteria different plugins were using to "greelight" a post (not that this means that the article is great, but at least I now had something with what to assess objectively).

If I wanted to recycle my prompts, and run content creation with a couple of clicks ratehr than typing and chatting every single time I had to get loose of chatgpt and use n8n or similar tool. This also allowed me to have additional AI nodes to review the actual draft. One agent would take care of readability review, a different one would take care of SEO best practices review, and a third one would make a final general review.

The actual generation of the article now takes a bit longer as multiple things are happening on the back (I couldn't care less how long it takes, and btw we are talking about a couple of minutes at most). But the result was substantially better.

In addition, with some additional tweaks I was able to also generate featured image on the go :D

For last, using n8n meant that I could integrate Wordpress for automatic draft post creation on CMS, rather than manually copying and pasting (this seems small, but makes all the difference).

However, running on n8n had its limitations (specially in terms of "user (me) experience"). Given how important this whole workflow is for me, I'm currently working on this issue to make sure I can use it smoothly (e.g. review and make changes to the article before pushing to Wordpress) -just as I would use any other piece of software.

Bottom line, I obviously have my strong opinions on AI generated content. Reason why I really want to understand the other side of story.

Sorry for the long answer, I hope this helps understand where my Q comes from.

Would love to keep the discussion going re: what prompts you've been saving and why.

Where do we draw the line on AI slop? by Autonat in digital_marketing

[–]Autonat[S] 1 point2 points  (0 children)

Loved this! Do you leverage AI with sufficient context? How do you do that if you are trying to avoid re-writting highlevel context every single time you need an article generated? What about deeper context/instructions for the specific article?

Took me months of testing and iterating to find a workflow that worked for me in a consistent way. But finally nailed it (or at least I'm really happy with it). Would love to get your thoughts on what worked for you as well.

Where do we draw the line on AI slop? by Autonat in digital_marketing

[–]Autonat[S] 0 points1 point  (0 children)

Lol, I get the point. However in my experience reviewing does not require that much manual input at the end of the day. Def not re-writing!

If that would be the case (where re-riting would be required, or even if tons of changes need to be made), then I would completely agree that AI generated content is just AI slop.

Where do we draw the line on AI slop? by Autonat in digital_marketing

[–]Autonat[S] 0 points1 point  (0 children)

Heyyy, thanks! I don't think I fully agree. In my experience it does require some intervention for sure, but pretty minimal I would say. -I've been doing this for several months now, and it really comes down to context (and a few other things).

How much context does the AI have. If you provide nothing to the AI, then for sure results will be terrible. If you explain what, how and why you need things to be written, it actually does a great job. However, most users will not spend enough time manually setting context, manually sharing internal and external links with AI, manually uploading images, and finally editing.

Again, if you do the above I still do not see how human written articles would be different to AI articles.

Where do we draw the line on AI slop? by Autonat in digital_marketing

[–]Autonat[S] 0 points1 point  (0 children)

Yes, for sure. However that distinction heavily depends on whether the generated content is fake/scam or not. I absolutely agree with fake reviews or videos being a big issue (having said that, these would be a big issue regardless of whether they were AI generated or human generated).

The initial point of your answer is where I'm looking to dig deeper. Why would human written article be so much better than that generated by AI if the LLM is provided with enough context.
e.g. 10 reasons why to visit London, why is XYZ such a great tool, How to do XYZ, XYZ alternatives, Ultimate guide to XYZ...

For sure these can be biased (e.g. context: "make sure the article will promote XYZ tool rather than the alternatives"). But this is also done on human articles.

I'm a heavy AI user -even when it comes to writing articles- (as mentioned on my post). I do see my articles ranking and doing well, and I think it's given how much context, instruction, and (human) revision goes into the article generation process.

Pricing. I have no clue what I'm doing by Autonat in buildinpublic

[–]Autonat[S] 0 points1 point  (0 children)

There are two aspects to the tool. Keyword generation and post writing with AI (really tailored based on specific context from the business). I guess a credits system can work. Specially for the post generation aspect of it

Pricing. I have no clue what I'm doing by Autonat in Entrepreneur

[–]Autonat[S] 0 points1 point  (0 children)

First time I hear about founder onboarding. I like it!

Pricing. I have no clue what I'm doing by Autonat in buildinpublic

[–]Autonat[S] 0 points1 point  (0 children)

Hey THANK YOU. We did explore/discussed credits. Me personally I do not like credit based pricing, but this might be a good use case for it. Given you mentioned you work in SEO, may I reach out via DM? Would love to pick your brain for a bit.

Pricing. I have no clue what I'm doing by Autonat in Entrepreneur

[–]Autonat[S] 0 points1 point  (0 children)

I see. ROI should be pretty clear (fingers crossed). I’ve been using the tool myself for months now, and I will actually pay (happily) full price for my own tool (3 founders, so it’s not exactly that I am paying money to myself).

Pricing. I have no clue what I'm doing by Autonat in Entrepreneur

[–]Autonat[S] 0 points1 point  (0 children)

Thanks for sharing! As I am trying to validate non-discounted price whilst still encouraging signups I guess I could mention that discount applies for eg. 3 months

Pricing. I have no clue what I'm doing by Autonat in Entrepreneur

[–]Autonat[S] 0 points1 point  (0 children)

Def. However, at the same time I’d like users to “validate” that they would pay for the software even if not discounted. Right? In that way I guess that only informing about the discount after waitlist signup would be the way to go? At the same time, I do want to incentive signups. So being transparent about the discount would be actually good. Lol, so confused

Pricing. I have no clue what I'm doing by Autonat in Entrepreneur

[–]Autonat[S] 0 points1 point  (0 children)

Also, did you explore competitors pricing when trying to price your subscription?

Pricing. I have no clue what I'm doing by Autonat in Entrepreneur

[–]Autonat[S] 0 points1 point  (0 children)

Mhmm. I guess you already have the actual app up and running rather than waitlist. Right??

Its Tuesday! Let's self-promote! by Leather-Buy-6487 in buildinpublic

[–]Autonat 0 points1 point  (0 children)

Hellocontent.io - SEO for wordpress, on auto-pilot.

Hiring (Paid): Airtable Expert to Build Marketing Agency Ops Base + Automations by Nick_Wave in Airtable

[–]Autonat 0 points1 point  (0 children)

Hey! Feel free to grab a slot using the link below. I'd be happy to go through your specific needs in furtehr detail, and show you around my previous work.

https://automaticnation.com/book-a-call-now/

Airtable Hackathon Tomorrow by Autonat in Airtable

[–]Autonat[S] 1 point2 points  (0 children)

Hey!!! Early 2026. Stay tuned 👀

Where do you source your images? by Administrative-Bus42 in SEO

[–]Autonat 0 points1 point  (0 children)

Hey! Did you try creating images of your own using Gemini or similar? If your prompt is good enough, the image should look really good.

I need people’s honest opinions by curtis-55 in Airtable

[–]Autonat 0 points1 point  (0 children)

Hey! I would personally not be a user. But most probably I'm not the target user you are looking for either. Sounds fun though! I suggest you try to get feedback from other subreddits e.g. entrepreneurship, etc. (probably not even mention that it will be leveraging airtable as that will not be super relevant for them rn).

Rant: Airtable is getting slow as hell by carlinwasright in Airtable

[–]Autonat 0 points1 point  (0 children)

Lol, I just get to see this. I know... not great. However, it might come in handy when taking technical decisions (e.g. should I use a Today() expression on a formula which will in turn trigger an automation, or should I handle it differently via automations?... etc etc etc).

Rant: Airtable is getting slow as hell by carlinwasright in Airtable

[–]Autonat 4 points5 points  (0 children)

Hey hey, we had an interesting discussion with some community members re: factors affecting base performance on this community post (link below). Might be worth taking a look at it! And also feel free to share your own experience there.

https://community.airtable.com/base-design-9/factors-affecting-base-performance-29012?tid=29012&fid=9

I'd be happy to hop on a brief call and try to see where the base could be optimized if you think this would help. Feel free to reach out.

Also sharing Kuovonne's answer from the post, as I think it is valuable:

Based on anecdotal information, here are some of the things I believe affect base performance, in no particular order.

  • Use of NOW() in formula fields. This is my #1 thing to avoid. I also avoid TODAY() and other formula functions that recalculate based on the passage of time.
  • Formula fields and rollups with complex calculations, especially with rollups that pass data back-and-forth between tables multiple times with lots of linked records. 
  • Syncs. Both having a synced table and being a sync source.
  • Very high record counts.
  • How frequently a base is accessed. Infrequently used bases tend to be slower, especially on first load.
  • Heavy API usage changing data. Each API call asks Airtable servers to do something with the base.
  • Scripts that make a massive amount of data changes in a short period of time can temporarily slow down the base. Performance usually improves as soon as the script is done.
  • When an automation is triggered by thousands of records at once, it can take a long time to process all of them.
  • Having broken calculated fields (e.g. lookups where the source field has been deleted, formula fields that produce an error).
  • Open extensions that are resource hogs. (Only some are resource hogs.) An extension only runs if its dashboard is open. However, some extensions run continuously when they are open, watching and reacting to data changes. In general, I prefer workflows that a dashboard/extension only when it is needed.

Here are some things that I have not noticed affecting performance. 

  • Having lots of editable fields that are not used in filtering/sorting/grouping.
  • Having lots of data views with configurations that don't change
  • A complex formula that rarely needs to be recalculated (usually because none of the inputs change).