AI challenge

The AI solution is too slow

An AI feature that works correctly but needs twenty seconds for every step still feels broken. We find out where the time is really lost and which optimisations make sense.

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Does this sound familiar?

AI latency often doesn't come from one big problem, but from a whole series of small waits added together.

Every step waits for a model
Calls run one after another when that isn't always necessary.
Agents do much more work than expected
One user action leads to a long chain of tool and model calls.
Large amounts of context are sent again and again
The same information is fetched and processed over and over.
External systems slow down the whole flow
One slow API holds back the rest of the user experience.

Where do you want to be?

The solution doesn't have to be instant everywhere. But it does have to feel fast enough for the process in which people actually use it.

Faster critical flows

The steps users wait for get attention first.

Insight into bottlenecks

You know which part of the model, application or integration causes the wait.

Deliberate performance choices

Speed, quality and cost are weighed against each other instead of being optimised separately.

Why does this happen?

Choosing a faster model helps little if the system meanwhile runs six unnecessary steps.

See how we approach this

The architecture is fully sequential

Work that could run in parallel or in the background now blocks the user.

Too much AI for simple tasks

Deterministic logic runs through a model where regular code would be faster.

Nothing is measured in a targeted way

Without timings and traces you easily end up optimising the wrong part.

Matching offer

Vibe Code Rescue Audit

In a Vibe Code Rescue Audit we first measure where time is actually lost. We can then optimise in a targeted way in a Rescue Sprint, without endlessly tinkering with models and prompts.

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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?

Speed depends on the whole system. That's why we look at AI, backend, database, integrations and the user flow at the same time.

View cases

Measure before optimising

Find the bottleneck first, only then make technical choices.

AI where it adds value

Not every step needs to go through a language model.

UX counts too

Sometimes the best improvement lies in processing differently or giving smarter feedback.

The AI solution is too slow

Does this sound familiar?

Every step waits for a model

Agents do much more work than expected

Large amounts of context are sent again and again

External systems slow down the whole flow