What is price? It can be a measure to “weight value”.
For example, there was this person on Twitter that stated stated how $30 per PR shipped is a good price, and I tend to agree.
The thing we have with AI now is that you can spin up a model ask it to build something.
Guess what? The model will agree and will start using tokens (spending tokens). There is no pushback. There is no questioning of any assumptions.
You can build AI skills that manage some level of pushback, but overall, whenever you ask a model to do something, it will do it, sometimes it’ll relentlessy do it.
This brings everything to another level and raises another question that remains valuable today, a question that was there from the beginning: What’s the value of what I want?
There will be a time when people will start saying we need to bring the costs down, at that time we will go back to square one because, as I said before, it was never about building. It was always about building the right things.
This opportunity to directly see the price of an implementation, or at least have a rough idea, gives you an overall understanding that money is a finite source. You want to spend it wisely on things that matter and things that will make a difference.
But we can’t ignore the fact that we are now in the full bloom of AI. It’s normal to abuse tokens now. People are exploring a new world.
But, at the same time, I expect that there will be a time when some people will either switch to local models for things where they are unsure of the value, or they will start questioning the product roadmap.
For example, is it ok spending $1,000 or $2,000 for an idea that might not bring value? These costs will sum up over time and will add up maintenance costs that will make running products even more difficult.
What we ultimately want is a sustainable product that is easy to maintain and brings true value for customers, that’s the dream right?
It was never about the price. It was never about what to build or the time to build. It was always about building the right things that solve people’s problems and keep them engaged with your product.
But this is actually a cool thing about AI because you can now have a rough understanding of how much investment is needed to do anything.
Before, the situation was slightly more blurry, estimates were difficult, we didn’t have “human tokens”. Now, you are starting to see the cost clearly also (strangely) thanks to measurable token costs which, even though you can’t predict the exact amount of work (and therefore the spending) can help a lot in this kind of planning.
It will be somewhat easier for entrepreneurs, stakeholders, or product people to think about whether they are spending money in the right direction.
And, eventually, they will be accountable for how much they spend.
This is not new: If you want to adopt a new product that costs a significant amount, you obviously need to figure out how make a case for its usage in your company. This will be no different.
Knowing that what you build is valuable or will make a ROI seems obvious, but now you have kind of a metric to help understanding it.
Tokens.
















