Nufar Gaspar
speaker
2,488 appearances
11 recordings
1 series
first heard Oct 2025
last heard 3 Sep
Nufar Gaspar’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 11 in all, peaking in Jun 2026 with 5.
Appearances
And especially when the credit card is owned by your company and not by yourself, often you will not pay attention because you're not sitting on the billing.
I agree.
And even more, I see many automations that people created because they think they will be useful.
Like, oh, I can't read.
I have too many Slack messages.
Let me just create like a Slack miner that runs every hour and reads my entire set of channels.
And that can easily become $1,000 in tokens that literally do a job that moves the needle for nobody.
Or the morning brief that you created wholeheartedly with the intention to read it every morning, but for some reason you don't find value and you don't read it.
So these are the things that you should definitely audit and kill.
And my rule of thumb is if you created an automation and for one or two weeks you have never, ever used the output, you should definitely kill because it's a definition of a spin.
Or if you are using this automation, but there is a very bad proportion between the value of summarizing all of your select channels to the bill at the end of the month, that's also something that I consider to be a spin.
And I think that now that everybody gets co-work or GPT work, that even more and more within companies, because it's so easy to build these automations and without sufficient literacy about how to effectively use the tokens, people create a ton of these automations that look good on paper, but don't look so great on the paper of the bill at the end of the month.
All right.
So let me give you a list for the suspects for silent token spenders.
First of all, it's going to be your idle agents and the over-frequent jobs.
These are going to be the things that run without any meaningful output or way, way too frequently.
We also, in many cases, see automations that nobody uses.
So it can be like the weekly report or the dashboard that nobody ever goes to read.
Additional thing can be what we refer to often as the pre-prompt tax.
So anything the model runs and reads before the very first prompt.
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