AI challenge

The AI solution is becoming too expensive

A few euros during the prototype is very different from hundreds or thousands of users running the same workflow every day. We find out where the costs come from and how to lower them without optimising the solution into the ground.

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Does this sound familiar?

Cost problems often only become visible when an experiment successfully starts to scale.

Model costs grow faster than users
Every new user causes relatively a lot of extra usage.
Agents make many calls per task
A simple action can quietly involve dozens of model or tool calls.
Large prompts are sent along every time
Context grows along with the product without it being clear what is really needed.
Nobody knows the cost per flow
There is a monthly invoice, but hardly any insight into what causes it.

Where do you want to be?

You don't simply want to use the cheapest models. You want costs to be in proportion to the value of every user flow.

Costs become transparent

You know which actions, users or processes cause the most usage.

Waste disappears

Unnecessary calls, context and duplicate processing are reduced in a targeted way.

Growth becomes more predictable

You can better estimate what more usage means financially.

Why does this happen?

AI costs are often not just a pricing problem, but also an architecture and product problem.

See how we approach this

Expensive models are used everywhere

Simple tasks get the same heavy model choice as complex tasks.

Workflows do unnecessary work

Calls, retrieval and processing are repeated while results could be reused.

Costs are not part of observability

So you only see waste when the invoice arrives.

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Vibe Code Rescue Audit

With a Vibe Code Rescue Audit we map the costs per relevant flow and the biggest technical causes. We then carry out the most worthwhile optimisations in a Rescue Sprint.

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€2,950 excl. VAT

Fixed price · one existing application or codebase

Result: Technical grip on what exists and a prioritised rescue plan
Duration: About two weeks
Next step: A Rescue Sprint for the most important problem, or continue yourself

Why 9to5 for this?

The cheapest model call is often the call that turns out not to be needed. That is why we look at the whole system, not just the model providers' price list.

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Cost and quality

Cheaper doesn't help if usability collapses.

Architecture over loose tweaks

Routing, caching and workflow design can deliver more than prompt micro-optimisation.

Measurable results

Optimisation is tied to actual usage per relevant flow.

The AI solution is becoming too expensive

Does this sound familiar?

Model costs grow faster than users

Agents make many calls per task

Large prompts are sent along every time

Nobody knows the cost per flow