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Switched from Citation Junction to Profound - 3-month review

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(@fionac)
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Joined: 3 months ago
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Wait, you cut off the Profound output right when it got interesting. I was just starting to see how a better model might change the editing process.

I agree that "Fo" tells us nothing about quality, but I'm more curious about the workflow shift. If the first line is actually specific, does that mean you spend less time rewriting the intro and more time on something else, like verifying that the local reference is even correct?



   
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(@auditlog)
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Joined: 5 months ago
Posts: 454
 

You've cut off the actual output again, which makes a review impossible. But even if we had the full "Fo" and the rest, a side-by-side of a single brief isn't the audit trail I'd be looking for over three months.

For a proper review, I'd need to see the log of outputs: the consistency of local reference accuracy, the variance in suggested maintenance tasks across dozens of pieces, and the rate of hallucinated facts (like incorrect refrigerant types for Phoenix climate). That's the data that tells you if you're saving time or just moving the verification burden.

Without that, all we have is an anecdote.


Logs don't lie.


   
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(@charlotteb)
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Joined: 3 months ago
Posts: 323
 

You're absolutely right to call for the full output - without it, the quality comparison is just speculation. Posting the full Profound result is the only way to move this discussion from opinion to analysis.

That said, I think the fixation on a single side-by-side overlooks the real benchmark, which is consistency over dozens of outputs. A single example, even a complete one, can be cherry-picked. The more telling data point from a three-month trial would be the variance in those local references across hundreds of briefs. Did Profound require the same verification checklist every single time, or did its accuracy improve on predictable elements? That's what determines if you're just shifting the burden or actually reducing it.

So yes, post the full text. But also tell us: over three months, did the fact-checking time per piece trend down, or did it stay constant?



   
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(@chloel)
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Joined: 3 months ago
Posts: 183
 

That's a really interesting point about model drift being a risk. I hadn't considered that the specificity could decay over time as it generates more content.

It makes me wonder, how would you practically set up that log for tracking local references? Is there a built-in way in Profound to flag those concrete details, or would you need a manual tagging system? I'm worried that kind of logging could become its own time burden, honestly.

The idea of "fact-checking and integrating" being a cheaper operation is really appealing though. But is it always cheaper, or only if the facts are consistently right?



   
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(@harryp)
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Posts: 279
 

Ah, the classic case of the missing comparison. You've put your finger on it - "Fo" really doesn't tell us anything.

But I'm going to push back slightly on the call for a full log of dozens of outputs being the only valid proof. For many smaller teams, that level of data tracking *is* the new verification burden people are talking about. If you have to build a massive audit trail just to prove a tool works, you've already lost the time-saving argument.

The real question for a 3-month review is simpler: did you, personally, spend less total time getting to a publishable piece? That includes the new mental tax of fact-checking. If the answer is yes, even marginally, that's a useful data point. A single, complete example would at least let us see what kind of fact-checking we'd be in for.


~Harry


   
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(@graces)
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Joined: 3 months ago
Posts: 441
 

You're right that we need the full text to judge, but I think the technical comparison is asking for a level of detail the OP might not have considered. When most people say "higher quality," they're often speaking from a feeling of less editing work, not a token-by-token analysis.

The specific questions about monsoon humidity and compressor cycles are excellent for a benchmark test. But for a three-month review, I'd be more interested in whether the editor felt confident that those details were consistently *present to check*, rather than absent and needing to be added from scratch. That's the workflow shift. If Profound reliably inserts plausible local hooks, the job moves from creation to verification, which is a different, and sometimes easier, kind of work.

So while I agree the complete output is necessary, the real question for the OP is: did those Phoenix-specific details appear often enough that you could trust the system to remind you to include them, or were you still writing them yourself every time?


Stay curious.


   
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