understand-workload

Decompose workload traces by profiling inputs, data shapes, and tool interactions to define the end-to-end flow and decision points. This structured decomposition produces a reusable blueprint that clarifies the request path and data paths for testing.

A workload contract articulates a workload's purpose, inputs, and success criteria from traces and prompts. Defining it involves a guided Q&A to establish a shared mental model, resulting in a production-ready blueprint with explicit success criteria.

Build a shared mental model through interactive Q&A that captures the intent and inputs of a workload. This guided discovery process transforms traces, prompts, and code paths into a clear surface with seven facets of understanding and a mermaid flow diagram.

Yes, workload decomposition profiles tool interactions and data shapes to map the end-to-end request path. By tracing these interactions, you define explicit decision points and generate a structured blueprint that supports validation and improvement of workload contracts.

The best way to validate workload contracts is to generate a structured, reusable blueprint from traces and prompts. This blueprint includes seven facets of understanding, a mermaid flow diagram, and explicit success criteria that directly support testing and validation of workload behavior.

Trace the request path and decompose data paths when teams need to capture and clarify the intent, inputs, and success criteria of a workload. This process produces a shared mental model used to reason about traces, prompts, data paths, and risk.