The Workflow Engine · 05.04
What "Self-Healing" Actually Means
Four real mechanisms working together — a recovery ladder, a law against silent restructuring, a pattern-recognizer for repeat failures, and a safe way to change a live run — not a single feature.
Not one feature — four, working together
| Mechanism | What it actually does |
|---|---|
| The Recovery Ladder | When a node fails, climbs from a free deterministic reflex up through certified structural repair — cheapest and least invasive first, never reaching further than the failure actually requires. |
| Blueprint Law | A graph that's already proven itself in production can never be silently restructured while "healing" something unrelated — runtime-class failures are classified out before structural surgery is ever considered. |
| The Instinct Engine | Notices when the same failure keeps recurring across runs and proposes a real fix — the difference between healing one incident and actually learning from a pattern. |
| Atomic Evolution | The contract that makes changing a live run's graph safe — a monotonic ratchet that never lets a mid-run edit make things worse, so healing itself can never be the thing that corrupts a graph. |
The failure that motivated all four at once
A proven production workflow and a repair experiment are deliberately separate. A failure is first classified as policy, configuration/capability, transient resource, data contract, graph design, or platform. Only a graph-repair-eligible class can propose a structural change. That change is applied to the current run and stored as a candidate revision; it never overwrites the active production graph. The same failure fingerprint gets at most one repair proposal against the same base revision, preventing repeated self-heal loops. The candidate becomes active only after independent proof and promotion.
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The five-stage discipline behind every hardened workflow, from declaring how success will be verified to a verdict engine that never trusts a self-report.
The production procedure for changing a workflow without replacing the last proven implementation.