AI code debugging & fixing
Your AI is in production but it's breaking. We trace failures, fix broken prompt chains and agent code, add guardrails, and improve eval coverage so your AI stops breaking in front of users.
Sound familiar?
How we fix it
Systematic debugging, not guesswork
Root cause analysis
We trace every failure, from hallucinations and wrong tool calls to broken chains, back to its source. Not guesswork, systematic investigation.
Prompt chain repair
Broken system prompts, context bleed, and instruction conflicts. We rewrite and restructure your prompt chains so they work reliably in production.
Guardrails & safety layers
Input sanitisation, output validation, topic boundaries, and PII filtering so your agent can't be jailbroken or steered off-script.
Eval coverage
We write eval suites that catch regressions before they reach users, covering edge cases, adversarial inputs, and performance benchmarks.
Fix documentation
Every fix comes with a clear written summary covering what broke, why, what changed, and how to avoid it recurring. Your team keeps the knowledge.
Ongoing reliability support
After the fix, we can stay on as reliability partners, monitoring regressions, reviewing prompt changes, and running evals on new features.
AI breaking in production?
Share what's failing and we'll scope a fix. Most issues resolved within days, not months.
Describe the problem