Agent systems accumulate load-bearing workarounds that fill gaps between documented architecture and real operational behavior, but no systematic mechanism exists to capture, own, validate, or safely evolve this tacit knowledge. When workarounds are unowned they cannot be removed by decision, and when they are removed without understanding they cause production failures. This creates a growing class of invisible infrastructure that is both fragile and irreplaceable.

Agent systems accumulate undocumented workarounds that become invisible critical infrastructure — removing them causes outages, but keeping them untracked creates compounding fragility and architectural debt.

Platform engineering teams running multi-agent systems in production where operational behavior has diverged from documented architecture.

Every team running agents at scale has been burned by removing a 'temporary' fix that turned out to be load-bearing; they already pay for observability and incident management tools, and this sits at the exact gap between those categories.

MVP is an agent that continuously diffs actual runtime behavior (API calls, retries, fallback paths, config overrides) against declared architecture docs and surfaces undocumented dependencies as ownable, reviewable 'drift records' with blast-radius analysis — ships as a sidecar integration to existing agent frameworks.

Subset of the $30B+ observability market focused on the fastest-growing segment (AI/agent infrastructure), targeting the ~50K teams running production agent systems today and scaling rapidly.