Our agent is not reliable enough
An agent that works well eight out of ten times can look fantastic in a demo and be unusable in production. We find out where the unreliability comes from and which technical measures are needed to make the system manageable.
Does this sound familiar?
At first it often feels like a series of separate incidents.
The same input gives different results
What went well yesterday can suddenly take a different route today.
The agent sometimes picks the wrong tool
It calls actions that are not needed or uses the wrong data.
Prompt changes move the problem around
An improvement for one situation makes another situation worse.
Errors mostly show up with real users
The demos are fine, but reality contains far more variation.
Where do you want to be?
No agent is perfect all the time. You do need to know where it can fail and how the system deals with that.
More predictable behaviour
The agent more consistently chooses the right steps, tools and information.
Errors become visible
You can measure which situations go wrong instead of relying on scattered manual tests.
Risks are contained
Validation, guardrails and human oversight prevent a mistake from immediately becoming a big problem.
Why does this happen?
The cause rarely sits in the prompt alone. An agent is a complete software system in which model, tools, context, state and error handling work together.
See how we approach thisThe task is too open
The agent gets more freedom than it needs to carry out the process well.
The feedback loop is missing
Without evals and traces it is hard to see which part is actually failing.
Errors are not caught
A single wrong model decision can needlessly carry through into every following step.
Vibe Code Rescue Audit
In a Vibe Code Rescue Audit we first make the behaviour understandable and measurable. Then we determine which combination of architecture, evals, validation, guardrails and human-in-the-loop is needed. The concrete fixes can then follow in a Rescue Sprint.
View this offer€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?
You don't get a reliable agent by endlessly tweaking a single prompt. You treat it as software, with clear responsibilities, observability and controlled failure paths.
View casesLooking at the whole system
We examine the entire agent flow, not just the instruction text.
Measure first, then optimise
Evals and traces show which changes actually help.
Autonomy doesn't have to be the goal
We deliberately choose where deterministic software or human oversight is the wiser option.
What else fits your situation?
Rescue Sprint · €5,950 excl. VAT
One week of senior engineering focused on one clear technical rescue goal. No retainer and no endless engagement.
View offerWe're missing tests, evals or monitoring
The AI functionality runs, but nobody can objectively see whether changes make it better, worse or quietly break something.
View use caseThe AI solution is too slow
The functionality works, but users wait so long that the product or process isn't pleasant to use in practice.
View use case