Design Patterns
Architecture selection, tool design, error resilience, multi-agent coordination, and production patterns.
Agent Testing Strategy
A comprehensive testing architecture for agent systems, covering the testing pyramid, non-determinism management, evaluation design, and CI/CD pipelines.
Architecture Selection Framework
A decision matrix for choosing the right agent architecture pattern based on your task’s structure, latency requirements, cost constraints, and error tolerance.
Complexity Gradient
Start with the simplest LLM pattern that could work and add complexity only when measured evidence proves it insufficient.
Context and State Strategy
Systematic approaches for allocating, prioritizing, compressing, and persisting information within and beyond the context window.
Cost-Latency Optimization
Design strategies for building agent architectures that meet cost and latency targets without sacrificing task quality.
Do You Need an Agent?
A decision framework for determining whether your problem requires an autonomous agent or whether a simpler alternative will perform better at lower cost.
Error Resilience Patterns
Architectural patterns for designing agent systems that anticipate, contain, and recover from failures before they happen.
Incremental Migration Patterns
Patterns for introducing agent capabilities into existing systems gradually, minimizing risk while capturing value at each stage.
Multi-Agent Decision Framework
A decision framework for determining when multi-agent architectures are justified and how to design agent boundaries, communication, and coordination when they are.
Safety by Design
A holistic approach to engineering safety into agent architecture from the ground up, covering threat modeling, layered defenses, permission design, and the safety-capability tradeoff.
System Prompt Engineering
The practical craft of writing system prompts that reliably steer agent behavior, manage tool use, and enforce constraints within token budgets.
Tool Interface Design
Design principles for building tool APIs that LLMs can discover, understand, and invoke correctly without human intervention.