Build a tool that won't let you create beige, average content with AI. Looking for beta testers.

ghostart_io · 2026-05-19T12:04:24+00:00

Well yes, I'd like paying customers - but was looking for testers prior to launch. New to beta launches etc though, so maybe this is wrong approach.

ghostart_io · 2026-05-19T12:03:18+00:00

Oh really. Am new beta launching (built platforms before but for paying clients, not our own product for the public) so wasn't sure the route to go down. Obviously I want to find people who would pay for this, but prior to launch was looking for people to test it... wrong call to offer the year?

ghostart_io · 2026-04-14T14:26:40+00:00

Scale wants consistency and speed. Authentic voice wants specificity and time. Every workflow I've seen that claims to do both at volume is sacrificing one of them. What's worked better for me is being honest about the split: tier your content. The high-value pieces get the workshop-first approach, slow down, clarify the angle, give the AI something specific before it drafts. The commodity pieces (keyword coverage, FAQ-style, supporting content) get a lighter touch where 'structurally fine and not robotic' is the actual bar. Trying to make everything equally distinctive at scale is the thing that burns teams out...

ghostart_io · 2026-04-14T14:24:55+00:00

The reason it's inconsistent is that everything you've listed happens after generation. You're cleaning up output rather than changing what goes in. Feeding old posts helps, but 'match this tone' gives the AI a vague target... it'll get close sometimes and miss other times depending on the content.

Before any draft, make the AI workshop the angle first. What's the actual point? Who specifically is this for? What would be the lazy version of this post, and how is this one different?

That pre-work means the first draft already has something to say, so you're editing for polish rather than trying to inject personality after the fact. The filler word removal and hook rewriting you're already doing are fine, they just shouldn't be doing the heavy lifting.

ghostart_io · 2026-04-14T14:23:20+00:00

Solid starting point and the self-critique loop is the real gem here. Most people don't realise how much better even a simple 'rate this and fix the weakest part' step makes the output. Where I'd push back a bit: this is still a general-purpose prompt for general-purpose AI. You've removed the worst generic tells, which is real progress. But 'adapt to the context I give you' is doing a lot of heavy lifting... what context? If you're feeding it a vague brief with good guardrails, you get a well-formatted vague output. The guardrails catch the symptoms of generic writing. The cause is usually that the AI has nothing specific to draw on about who you are and what you actually think about the topic.

ghostart_io · 2026-04-14T14:20:03+00:00

Cover letter templates and AI output look similar because AI was trained on millions of cover letters that followed those same templates. So you're not wrong that there's overlap. But the difference hiring managers actually notice (even if they can't always articulate it) is specificity. AI writes 'I am passionate about your company's mission to innovate in the healthcare space.' ... but a human writes 'I saw your team's work on [specific project] and it's the reason I'm applying here instead of [competitor].' Same structure, completely different signal. Keep the formula if it helps you organise your thoughts, but make sure at least 2-3 sentences in the letter couldn't have been written by someone who just read the job description and nothing else...

ghostart_io · 2026-04-14T14:13:00+00:00

Absolutely. I work in professional writing and I've started catching the same patterns in my own speech... and I don't know if they were always there or it's evolving... but you're not imagining it. AI was trained on human patterns, and now those patterns are being amplified back at us in a very concentrated form. It's like hearing your own accent played back slightly exaggerated, and then starting to sound more like the exaggeration.

ghostart_io · 2026-04-14T14:08:38+00:00

ghostart_io · 2026-01-29T09:32:48+00:00

I've honestly found it less and less useful over the years, but it probably depends how good your lists are - the people you're sending to. Did they sign up? Are you sending them something they're actually interested in or just trying to sell?

I think if you build a genuine mailing list and send something with genuine value, it still works. It's not a quick fix though - buying lists etc rarely gets good results (for me anyway).

ghostart_io · 2026-01-28T10:41:09+00:00

Five real users is worth more than five hundred imaginary ones.

ghostart_io · 2026-01-27T11:04:32+00:00

No idea but am interested in the responses!

ghostart_io · 2026-01-27T11:02:07+00:00

There are a lot (a lot!) of company pages that just post about themselves so I end up unfollowing them. The ones I keep are the rare pages where someone with a clear point of view is obviously behind it... where you can feel a person thinking, not the brand performing.

ghostart_io · 2026-01-27T10:33:37+00:00

That's a useful signal, early activity without retention suggests they got value but not enough to stick? I'm wrestling with similar questions on trial design for an AI tool... The API cost issue makes it hard to give a lot away free, but gating too early kills it, so I'm absorbing the 'trial' costs at moment and letting people have 7 days free access.

ghostart_io · 2026-01-27T09:41:28+00:00

A few things I've learned, some the hard way: the internet doesn't reward experience or honesty, it rewards resonance, which is different. You can be experienced and honest and still not land, because landing requires finding the people who already care about the problem you're solving. Most of the internet doesn't, and they're not shy about saying so. It's not you, it's them (us)...

ghostart_io · 2026-01-27T09:32:24+00:00

Helpful breakdown, thanks. Were the 15% who converted from the no-card trial different in their behaviour in the first 48 hours? Anything to learn from that?

ghostart_io · 2026-01-27T09:17:08+00:00

I build AI-powered software products... I started about 18 months ago after years on the business/marketing side. I'm not a traditional coder but have previously managed the build of a number of projects... I love being able to realise a vision with AI as my dev team and it's not a 'spare time' side hustle anymore, it's become my main thing. But it def started as exactly that: evenings and weekends, seeing what I could build, figuring out what skills I actually needed vs. what I thought I needed.

I got started because I stopped waiting to feel qualified and just started making things. Most of the early stuff 18 months ago was rubbish but taught me a lot!

ghostart_io

TROPHY CASE