adaptive-workflow-architect

What problem does it solve?

Designs AI agent workflows that adapt to uncertainty by mapping phases to cognitive control modes under Adaptive Narrative Control Theory (ANCT), enabling structured, scalable, and explainable automation.

Core Features & Use Cases

• Phase-to-Mode Mapping: assign DELEGATE, NARRATE, and GENERATE to each workflow phase with explicit entry/exit, escalation, and compression rules.
• Entropy Mapping & Stress Testing: quantify uncertainty per phase and validate escalation hatches with simulated failures.
• Architecture Outputs: generate concrete workflow blueprints or Skill.md templates ready for implementation.
• Anti-Patterns & Governance: highlight common failures and compliance considerations for safe deployment.
• Reusability: apply ANCT-based designs to data pipelines, decision-support, and design automation across domains.
• Real-world Scenario: design an onboarding workflow for a new product feature with adaptable controls.

Quick Start

Provide a workflow goal and domain to generate an ANCT-based, mode-mapped workflow design.