THEALGORITHM

Complex multi-step tasks are orchestrated by converting requests into an Ideal State Criteria plan and guiding automated agents through defined phases. This engine manages phase transitions, classifies effort, and spawns agents for reliable execution.

An Ideal State Criteria (ISC) plan is a structured framework that transforms vague requests into fully defined work plans. It generates specific ISC rows to guide automated agents through execution and verification phases.

Start automating a multi-phase task by selecting an effort level and iterating through its defined phases. The engine handles dynamic capability loading, agent spawning, and progress tracking from observation through learning.

Yes, yaml is required as a dependency to run this multi-step agent orchestration framework. It supports the configuration needed to define capabilities, manage phase transitions, and archive ISC artifacts.

Automated agents go through seven phases during task orchestration: OBSERVE, THINK, PLAN, BUILD, EXECUTE, VERIFY, and LEARN. This structured progression ensures discovery, planning, execution, and archival of learnings.

Use a formal orchestration engine instead of simple scripts when tasks require multi-domain discovery, dynamic capability loading, and phase-based verification. It provides structured ISC planning and learning archival that simple scripts lack.