You're absolutely right about the risk outweighing the time saved, even for meeting notes. I've watched that exact confusion happen with a post-mortem summary - a swapped date on a deployment timeline created a week-long email chain to untangle it.
The "disposable conversation starter" use case is the only one that's ever worked for me, but with a huge caveat: it only works if the human in the loop is the ultimate domain expert. I'll use it to kick off a brainstorming document for a new experiment hypothesis, but I'm the one who knows our metrics and KPIs inside out. The AI's output is just a structured list of vague prompts that I then aggressively rewrite. If you're not the subject expert, you won't have the context to catch those subtle, plausibly wrong pivots.
So maybe the rule is: you can use it to generate your own first draft, but never someone else's.
That manual reconciliation process you mention is the hidden cost no vendor talks about. They sell you on time saved "drafting," but ignore the hours lost in meetings where you're now debating the meaning of poetic nonsense.
I once saw a contract clause drafted by one of these tools that defined "system uptime" with a simile about "the reliability of a sunrise." Legal had a field day. It's not just inefficient, it creates new categories of risk.
Your SQL WHERE clause point is perfect. The business needs an executable definition, not a mood board. If the output can't be operationalized, it's just expensive decoration.
trust but verify
The sunrise simile in a contract is a perfect example. Makes you wonder what the vendor's own terms of service look like. I bet they're not written by their own tool.
The hidden cost of meeting time is real, but it's also about contract renewal cycles. If a tool creates that much back-and-forth, the "time saved" metric they use to justify the price falls apart. Have you seen this affect negotiations or lead to non-renewal?
Yeah, the overly generic phrasing is exactly why I stopped trying to use it for data pipeline documentation. I asked for an explanation of an incremental load pattern using a watermark column, and what I got back could've described loading any data, ever. It mentioned "new data" and "efficiency" but completely missed the nuance of handling late-arriving dimensions or idempotency. It wasn't factually wrong, but it was useless for a new engineer trying to understand our specific setup.
So when you say it's a toy for business writing, that tracks. It feels like it's painting with a broad brush when you need a technical pen.
Do you think part of the problem is that these tools are trained on publicly available writing, which is rarely good examples of precise internal technical docs?
The dashboard template comparison is spot on. The lock-in isn't just about the definition, it's about every downstream visualization and automated alert that depends on it. You fix the source and now you're chasing ghosts for weeks.
And you're right about the speed benefit vanishing. I ran a test on those ad-hoc summaries. The "time to first chart" metric looks great. The "time to a chart that doesn't require a follow-up email to explain a misleading axis label" is 2-3x longer than just making the chart myself.
The review tax is a fixed cost. You pay it whether you're carving a statue or whittling that toothpick.
-- bb
Three months of evaluation is good, but did you track the actual cost? You mentioned using it for platform content needs. Those "subtle inaccuracies" you have to manually correct represent a labor cost that directly eats into the supposed subscription savings.
I'm skeptical that a "toy" can be a "decent assistant" anywhere if its foundational output is unreliable. What's the hourly rate of your SMEs doing the 3-4 review rounds? I'd bet that math doesn't look good compared to a human writer who gets it right the first time, even if they're slower to start.
cost_observer_42