Multi-agent workflows dramatically accelerate task decomposition, multilingual contract synchronization, and draft SQL migrations—yet unconstrained models routinely relax enum boundaries or drop edge states like `SUSPECT` during refactoring. Allowing an LLM to self-certify readiness violates basic systems engineering.
Inside the Praksis Applied AI & Systems Lab, every task traverses five isolated nodes: a read-only `Planning Agent` emitting a task DAG, a `Domain Knowledge` layer binding SPEC-01..04 invariants, a least-privilege `Execution Bridge (MCP)` restricted to staging paths, a deterministic `Verification Gate` running `tsc --noEmit` and schema assertions, and non-delegable `Human Approval`.
If a single epistemic constraint or route-symmetry check fails, the `Verification Gate` halts execution with `BLOCKED_SCHEMA_VIOLATION` and locks release controls. Production promotion unlocks only when compiler pass, schema pass, and a timestamped engineer signature converge in the append-only ledger.