AI Rescue
A stuck AI build: the agent fails in production, answers hallucinate, retrieval misses, costs climb. In 1–2 weeks I get into your code, find the cause and unblock it — with before/after metrics.
Who it’s for: For teams that already built something and hit a wall: the problem has a name, weeks are burned, progress has stopped.
Not for greenfield builds — that’s where the Sprint starts. Not staff augmentation either: I come in, unblock, hand over and leave.
Month three on the same bug.
It worked in the demo and fails in production. The team has tried prompts, model swaps and a retrieval rebuild — every attempt eats another sprint, and it gets harder to say whether the problem is solvable at all. Most “unsolvable” AI problems are unmeasured ones: the rescue starts with measurement and ends with a fix and its numbers.
What you get
- The failure reproduced, with an evaluation set built from your real cases
- Root-cause diagnosis: model, data, architecture or missing measurement
- Fixes implemented together with your team, in your repository
- Before/after metrics on the same evaluation set
- Written rules so this class of problem doesn’t come back
- A recommendation: scale, rebuild or kill
How it runs
What you need on your side
The rescue works if you have:
Pricing
from €3,500 net
- quoted after the diagnosis (days 1–3) — then a fixed price for a fixed scope
- capped at 1–2 weeks — I don’t move in for months
- if the diagnosis shows the problem can’t be solved on a reasonable budget, I say so and we stop at the diagnosis
As of: August 2026
Run your own numbers.
A stuck team has a monthly cost: time spent going in circles. Price the standstill, then compare it with the price of the rescue.
The math
how many times the rescue pays back vs its price
5.1× — how many times the rescue pays back vs its price- cost of one month at a standstill
- €6,000
- total since the problem started blocking
- €18,000
- rescue price (bottom of the range — final quote after the diagnosis)
- €3,500
- the rescue price pays back after
- ~0.6 mo
An estimate built on the numbers you enter — not a promise. The final price lands after the diagnosis (days 1–3), and the result is measured before and after regardless.
Before you book a call.
How can you price this before you know what’s broken?
From €3,500 net. The first three days are the diagnosis; after it you get a fixed price for a fixed scope of the fix. If I see the problem can’t be solved on a reasonable budget, I say so and we stop at the diagnosis.
Do you work inside our codebase?
Yes, from day one — with access to the repository, logs and examples of the failures. I work in a pair with one engineer from your team, so the knowledge of the cause and the fix stays with you instead of leaving with me.
What kinds of problems do you fix most often?
The agent fails in production, answers hallucinate, retrieval misses the right documents, costs grow faster than traffic. The cause usually sits in the data, the architecture or the missing measurement, not in the model itself.
How do we know things are actually better afterwards?
From an evaluation set built out of your real cases. I measure on it before and after, so the improvement is a number rather than an impression. You also keep written rules so this class of problem doesn’t come back.
Do you stay with us afterwards?
No. The rescue is capped at 1–2 weeks: I come in, unblock, hand over and leave. If the root cause turns out to be how the team works, the natural next step is AI Development Acceleration.
What’s next
Your team keeps the working fix, the metrics and the written rules. The natural next step is an Agentic Workflow Sprint that finishes the process; if the standstill came from how the team works — AI Development Acceleration.