Observable failure, recovery, and reliability patterns in sustained AI-assisted workflows.
High-Context AI Agent Reliability & Failure Audit Kit
External Reader Draft r4 · Pre-validation · Open for expert cold review
The Audit Kit is a field-derived, longitudinal observational toolkit for identifying, classifying, and responding to candidate structural failure patterns in sustained AI-assisted workflows. It is designed around observable behavior and delivery states rather than claims about model-internal mechanisms.
Read the External Reader Draft r4 →What the Audit Kit examines
The current framework organizes observations across failure, recovery and governance-boundary, and capability-baseline evidence. It translates those observations into working taxonomy, case abstractions, observable markers, response rules, stop-rules, recovery boundaries, and baseline comparisons.
The current review asks whether the terminology, category structure, markers, response logic, evidence architecture, and proposed validation path are methodologically defensible.
Current status
This is a pre-validation external review draft.
The Audit Kit is not being presented as an externally validated standard, a mature training product, a commercial claim, or a request for endorsement. External expert review, independent terminology and taxonomy review, usability testing, and broader external-validity testing have not yet been completed.
What reviewers are being asked to examine
The current review package focuses on terminology and literature fit, taxonomy separability, marker operationalization and versioning, governance-response validity, evidence architecture, claim ceiling, minimum validation requirements, and the data / auditability boundary.
Reviewers are not being asked to endorse the toolkit or accept its framing in advance. The priority is to identify conceptual mismatch, overlap, missing structure, weak operationalization, overclaiming, and the minimum evidence needed for stronger external validity.
External Reader Draft r4
Audit Kit Expert Review Package v0.1
External Reader Draft r4
The package includes the current methodological framing, working taxonomy, marker and response-layer version differences, evidence architecture, the later C-08 Workshop case cluster, current validation status, and eight reviewer questions.
A reviewer response form and offline workshop demo are available on request.