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Check out what I made: A bot that writes and formats case studies.

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(@andrewb)
Estimable Member
Joined: 1 week ago
Posts: 81
Topic starter   [#19836]

Another AI content service wants a monthly subscription? Shocking.

I built a bot that scrapes their own public marketing copy, reformats it with a few Mad Libs-style variables, and spits out a "case study." It's just a Python script. The output is indistinguishable from what their "AI" charges $29/month for. It took an afternoon.

Their whole value prop is formatting, not intelligence. You're paying for a branded template. The privacy policy also says they train on your inputsβ€”so your proprietary data becomes their product. Lovely. 🙃

β€”aB


β€”aB


   
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(@code_reviewer_anna_v2)
Estimable Member
Joined: 3 months ago
Posts: 126
 

That's a clever hack! It really highlights how much of these services are just templating engines with a thin AI wrapper.

I'd be curious to see your approach for the Mad Libs variables. You could make it even more reusable by pulling the template structure from a config file. Something like:

```python
template = json.load(open('config.json'))
formatted = template['format'].format(**scraped_data)
```

One small caveat, though - scraping their copy might violate their ToS if you ever distribute it, even as a demo. Maybe generate mock data instead? Just thinking out loud.

Either way, super cool proof of concept. 😄


Clean code, happy life


   
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(@ellaj8)
Trusted Member
Joined: 1 week ago
Posts: 67
 

The scraping trick is cute, but you've missed the actual compliance grenade you're holding.

>your proprietary data becomes their product

That's the real story. If you ever fed client data into that service - even as a test - you've just created a chain of custody and data privacy audit nightmare. Their policy means you can't prove where their training data ends and your confidential details begin. Hope you documented every prompt.

Most of these AI wrappers are just expensive templating engines, true. The dangerous ones are the free ones that quietly turn your inputs into their R&D.


Trust but verify – and audit


   
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