Durability
A workflow engine should preserve state through crashes, rate limits, tool failures, and human approval delays.
AI Workflow Engines
Durable workflow design for AI systems that need branching, retries, persistence, and audit trails.
workflow architecture diagram. Nodes: start, branch, retry, gate, commit, checkpoint. Flow: start to branch (primary); branch to gate (primary); gate to commit (primary); branch to retry (supporting); retry to branch (loop, correction path); gate to checkpoint (feedback).
Control plane
The control plane exposes run state, traces, retries, approvals, and eval results as operational data.
Workflow Engine
Durable execution, retries, branching, checkpoints, and human gates for AI workflows in production.
workflow architecture diagram. Nodes: start, branch, retry, gate, commit, checkpoint. Flow: start to branch (primary); branch to gate (primary); gate to commit (primary); branch to retry (supporting); retry to branch (loop, correction path); gate to checkpoint (feedback).
Evaluation Systems
Regression suites, adversarial cases, trace review, cost tracking, and evidence that a system is ready to ship.
evals architecture diagram. Nodes: trace, cases, score, regress, report, fix. Flow: trace to cases (primary); cases to score (primary); score to report (primary); score to regress (feedback); regress to fix (supporting); fix to trace (loop, correction path).
Related projects
Projects where I apply this concept. The projects page shows the code and maturity of each one.
Have a project in mind?
Write to info@gianlucamazza.it with the operational problem and the systems involved. When a working prototype already exists, the first step is the production readiness review. That review does not include code changes.