10 Core AI Architecture Patterns Used by Top Companies Like OpenAI
goyalshaliniuk · x · 2026-08-06
Building reliable AI applications depends heavily on system architecture, not just the underlying model. The author outlines 10 key design patterns commonly used by top AI companies:
- ReAct (Reason + Act): Models alternate between reasoning and taking action to improve output quality.
- Planner-Executor: Separates task planning from execution for better reliability and debugging.
- RAG (Retrieval-Augmented Generation): Retrieves external documents before generation, widely adopted for enterprise chatbots.
- Reflection: The model reviews and refines its own work before responding, acting as built-in QA.
- Multi-Agent Collaboration: Uses multiple specialized agents to outperform a single general-purpose agent.
- Tool Calling: Dynamically invokes external tools like web search, APIs, and code interpreters.
- Memory: Incorporates short-term, long-term, or vector memory for personalized, context-aware experiences.
- Human-in-the-Loop: Keeps humans in the approval loop for high-stakes decisions in healthcare or finance.
- Event-Driven: Automatically reacts to triggers (e.g., new emails) to automate business workflows.
Related event: 10 Core Architecture Patterns for AI Apps Used by Top Tech Companies(2 posts)→
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