Praxis AI Development Methodology

Example Use Cases

• 1

  Persistent context and traceability across sessions.

• 2

  Structured task management with clear acceptance criteria.

• 3

  Multi-agent collaboration with defined roles and handoff protocols.

Description

Praxis bridges the gap between AI knowledge and action by using a filesystem with folders and markdown files to manage AI development tasks. It replaces ephemeral prompts with persistent work orders that define scope, acceptance criteria, and ownership, enabling multi-agent collaboration and audit trails. The methodology organizes work into research, planning, execution, and reporting stages, ensuring traceability, accountability, and continuous progress across AI sessions.