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 — hallucinations, wrong tool calls, 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 write-up — 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