bmad-create-architecture

To create an AI architecture solution design, use a guided workflow for technical preference discovery, starter template evaluation, and core architectural decisions. This ensures implementation consistency by defining naming, structure, and communication patterns.

Defining implementation patterns in AI solution design involves establishing naming, structure, format, communication, and process rules. These patterns prevent conflicts and ensure architectural coherence before validating the project structure and handing off for implementation.

Selecting a starter template for AI project architecture requires evaluating project requirements against available templates. The architecture workflow analyzes your technical preferences for languages and frameworks to recommend the most suitable foundation for your solution.

You can use the architecture workflow without predefined technical preferences because it includes a dedicated discovery phase. This step collaboratively identifies your preferred languages, frameworks, and databases during the initial architecture process.

Designing an AI solution covers core architectural decisions regarding data architecture, security, communication, frontend, and infrastructure. The workflow also defines the complete project directory structure and establishes clear architectural boundaries.

You need stakeholder input to define the project structure and architectural boundaries because the workflow requires project context documentation and technical preferences. This collaborative input ensures the final architecture is validated for coherence and implementation readiness.