These white papers distill practical experience implementing AI agents across development organizations. Each paper focuses on actionable frameworks and real-world implementation patterns.
A comprehensive framework for integrating AI agents throughout the software development lifecycle. Covers requirements gathering, architecture, implementation, testing, and deployment with practical examples.
Practical patterns and anti-patterns for effective AI-collaborative coding. Includes team adoption strategies, productivity metrics, and case studies from real implementations.
Detailed comparison of major AI platforms for enterprise development use cases. Includes cost modeling, capability matrices, and decision frameworks for technology selection.
Technical reference for implementing AI systems in regulated healthcare environments. Covers data sanitization, audit logging, and BAA considerations for major platforms.
Architecture patterns for systems where multiple AI agents collaborate on complex tasks. Includes agent communication protocols, state management, and failure handling.
Step-by-step guide for implementing AI Guild playbooks in your organization. Covers role definitions, workflow design, and measuring success.
White papers are available to consulting clients and organizations evaluating AI transformation initiatives. Contact me to discuss your needs and receive access to relevant resources.