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AI Architecture Blueprints

A collection of practical design patterns and blueprints for building safe, robust, and production-ready Generative AI systems. This repository is a resource for CTOs, VPs of Engineering, and architects who are responsible for implementing AI that delivers business value without introducing unacceptable risk.

Unlike code-focused repositories, this collection emphasizes the architectural principles and guardrails needed to transform "black box" models into predictable, enterprise-grade assets.


Who This Is For

This repository is for the CTO, VP of Engineering, or senior architect responsible for turning AI hype into enterprise-grade reality. You are in the right place if you care more about scalability, security, and ROI than the latest theoretical model. Our goal is to address the hard parts of building and deploying AI on top of complex, existing infrastructure.


Where to Start?

Not sure where to begin? Start with the pattern that addresses your most urgent pain point:

➡️ View the Full List of Blueprints


Vision & Roadmap

This is a living project. The architectural challenges of enterprise AI are constantly evolving, and so is this repository. Future blueprints on our roadmap include:

  • The Legacy Adapter Pattern: Strategies for safely connecting modern AI to brittle, legacy systems.
  • The Hybrid Team Workflow Pattern: A framework for managing the friction between agile engineering teams and exploratory data science teams.
  • The Cost Governance Pattern: Architectures for monitoring, alerting, and controlling the financial spend of production AI systems.

About the Author

I'm Kiryl Bahdanau, an AI advisor helping businesses architect and implement effective and safe AI strategies. If you're a tech leader looking to de-risk your AI roadmap, let's connect.

Connect with me on LinkedIn

License

This work is licensed under the Creative Commons Attribution 4.0 International License.

In plain English: You are free to share and adapt this work for any purpose, including commercially, as long as you provide appropriate credit.