aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
Inspect document ingestion, chunks, embeddings, indexes, retrieval quality, freshness, and grounded evidence.
Map the retrieval pipeline through a bounded evidence-first AI operations workflow in the training lab.
Admin 02 Retrieval and embeddings Inspect source documentsInspect source documents through a bounded evidence-first AI operations workflow in the training lab.
Admin 03 Retrieval and embeddings Review chunk boundariesReview chunk boundaries through a bounded evidence-first AI operations workflow in the training lab.
Admin 04 Retrieval and embeddings Read embedding metadataRead embedding metadata through a bounded evidence-first AI operations workflow in the training lab.
Admin 05 Retrieval and embeddings Inspect index statusInspect index status through a bounded evidence-first AI operations workflow in the training lab.
Admin 06 Retrieval and embeddings Check index freshnessCheck index freshness through a bounded evidence-first AI operations workflow in the training lab.
Admin 07 Retrieval and embeddings Review retrieval resultsReview retrieval results through a bounded evidence-first AI operations workflow in the training lab.
Admin 08 Retrieval and embeddings Compare similarity scoresCompare similarity scores through a bounded evidence-first AI operations workflow in the training lab.
Admin Checkpoint 09 Retrieval and embeddings Spot a missing citationSpot a missing citation through a bounded evidence-first AI operations workflow in the training lab.
Admin Checkpoint 10 Retrieval and embeddings Diagnose empty retrievalDiagnose empty retrieval through a bounded evidence-first AI operations workflow in the training lab.
Admin 11 Retrieval and embeddings Inspect duplicate chunksInspect duplicate chunks through a bounded evidence-first AI operations workflow in the training lab.
Admin 12 Retrieval and embeddings Review metadata filtersReview metadata filters through a bounded evidence-first AI operations workflow in the training lab.
Admin 13 Retrieval and embeddings Compare retrieval configurationsCompare retrieval configurations through a bounded evidence-first AI operations workflow in the training lab.
Admin 14 Retrieval and embeddings Prepare an index rebuild planPrepare an index rebuild plan through a bounded evidence-first AI operations workflow in the training lab.
Admin 15 Retrieval and embeddings Build retrieval evidenceBuild retrieval evidence through a bounded evidence-first AI operations workflow in the training lab.
Admin 16 Retrieval and embeddings Retrieval checkpointRetrieval checkpoint through a bounded evidence-first AI operations workflow in the training lab.
Admin CheckpointCreate a free account to sync completed lessons, XP, streaks, course status, and your next lesson across sessions.
Checking account status...
Progress sync is idle.
Progress sync stores completion IDs, scores, streaks, badges, and game settings. Terminal contents, editor snippets, lab scratch, email, and real names are never published on leaderboards or share cards.
aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
aiops prompts
Review versioned prompt metadata and deterministic prompt diffs.
aiops evals
Run and inspect bounded evaluation fixtures without model execution.
aiops rag
Inspect retrieval documents, chunks, index status, and reviewed results.
aiops traces
Read deterministic request traces, summaries, and latency evidence.
aiops guardrails
Review simulated guardrail policies, checks, and audit summaries.
aiops cost
Estimate cost and capacity from fixed training metrics.
aiops incidents
Review incident timelines, evidence bundles, and operator notes.
jq
Query JSON fixtures with a small declarative path subset; no expression execution occurs.