Reference architectures for modern software delivery.

These pages document project types with end-to-end delivery considerations across scope, infrastructure, hosting, auth, deployment, rollout, privacy, cost, and timeline tradeoffs.

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Choose a delivery architecture

Each page outlines a project category and the delivery constraints commonly involved in planning and execution.

Marketing Websites

Govern CMS integration and automated content pipelines

Strategies for securing AI content generation workflows, ensuring brand voice consistency, and monitoring API utilization across frontend properties.

Monitor and rate-limit automated CMS generation pipelines
Prevent excessive API calls from misconfigured frontend webhooks
Ensure robust delivery and performance across client-facing domains
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SaaS Web Apps

Architect scalable full-stack integration and observability

Technical operational blueprints for managing multi-tenant AI capabilities, enforcing per-customer budget limits, and preventing feature abuse in modern SaaS.

Implementation of strict multi-tenant traffic segmentation
Per-customer budget enforcement and rate limiting configurations
Operational telemetry for database, auth, and AI workload state
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AI Rendering Platforms

Optimize GPU burst workloads and media pipeline costs

Advanced configurations for managing asynchronous queues, routing heavy compute between local clusters, and stabilizing volatile cloud GPU expenditures.

High-throughput asynchronous queue management strategies
Cost-aware dynamic routing across local and external GPU clusters
Execution guarantees for high-latency media generation pipelines
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Scientific Workbenches

Isolate complex analytical tools and compute infrastructure

Architectural planning for deploying complex analysis agent systems within highly secure, compute-constrained, and IP-sensitive infrastructure setups.

Secure handling protocols for proprietary data and custom RAG limits
Management of long-running, multi-step analytical reasoning processes
Strategic scoping to minimize exposure of sensitive lab environments
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