Reliability
Diagnostic pages for evaluation gates, RAG failures, and model migration parity. Use the metrics, scenarios, and thresholds to turn an urgent trigger into a system your team can operate.
Choose the trigger
Each page is a qualified entry point for a specific production trigger. Use the detailed matrix, scenarios, metrics, and evidence requirements to decide whether the scope fits.
AI Reliability Engineering
A production-shaped evaluation system for teams that need golden cases, calibrated graders, failure slices, CI gates, and clear release thresholds before an AI launch.
Best fit: The average score improves while a high-risk customer workflow gets worse.
Read the pageRAG Reliability Engineering
A diagnostic playbook for separating ingestion, retrieval, ranking, context assembly, citation, and answer failures with stage-level metrics and a repair sequence.
Best fit: The knowledge base contains the answer but ingestion or chunking makes it unretrievable.
Read the pageModel Migration
A migration plan for teams moving models or providers that need quality, safety, latency, cost, data-region, and rollback evidence before shifting production traffic.
Best fit: The target provider is API-compatible but changes refusal, format, tool, or citation behavior.
Read the pageOperating pattern
The shared pattern is simple: name the production boundary, map the failure, change the critical path, and keep the evidence or evaluation suite with the team.
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Every page names the artifact, owner, access, and decision that should exist after the work.
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Every page names the artifact, owner, access, and decision that should exist after the work.
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Every page names the artifact, owner, access, and decision that should exist after the work.
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Every page names the artifact, owner, access, and decision that should exist after the work.
FAQ
The pages are written to answer the questions a buyer or engineer asks before a focused engagement: what is in scope, what evidence exists, how is it tested, and what remains outside the claim?
Use Evals Before Launch when a release decision is unclear, RAG Retrieval Failure when the system returns wrong or unsupported knowledge answers, and Model Migration Parity when a provider or model change creates a deadline.
No. The metrics, scenarios, and artifacts are framework-neutral. Existing tools can remain in place when they expose the traces, versions, datasets, and release actions the workflow requires.
The system links model and retrieval behavior to completed workflows, verified resolution, escalation, latency, retries, cost, and user impact. A better offline score is not accepted if the completed workflow gets worse.
30 minutes. No deck. Leave with a clear next step.
