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Evaluator-optimizer

4 articles · Page 1 of 1
Architect
Architect
Oct 29, 2026 · Artificial Intelligence

Workflow, Agent, Multi-Agent: Two Independent Architectural Choices

The article distinguishes two independent architectural choices for AI systems: whether actions follow a predetermined workflow or are dynamically decided by a model based on evidence, and whether a task is handled by a single agent or split among multiple agents, using an order delay analysis case study to illustrate when each structure adds value.

AgentAgent ArchitectureEvaluator-optimizer
0 likes · 29 min read
Workflow, Agent, Multi-Agent: Two Independent Architectural Choices
Tech Ocean
Tech Ocean
Jun 10, 2026 · Artificial Intelligence

Building a Production‑Ready AI Customer Service Bot: 6 Deployment Checkpoints with Spring AI

The article explains why Spring AI lacks a dedicated Agent framework, then walks through six concrete orchestration patterns—Chain, Routing, Parallelization, Orchestrator‑Workers, Evaluator‑Optimizer, and a selection guide—showing Java code, reasoning, and trade‑offs for building a multi‑step, production‑grade customer‑service chatbot.

Evaluator-optimizeragent orchestrationchain workflow
0 likes · 8 min read
Building a Production‑Ready AI Customer Service Bot: 6 Deployment Checkpoints with Spring AI
AgentGuide
AgentGuide
Mar 30, 2026 · Artificial Intelligence

What Is a Multi-Agent System? Three Core Working Modes Interviewers Expect

The article explains that multi-agent systems typically operate in three patterns—sequential execution, parallel execution, and an evaluator-optimizer loop—covers when each pattern is appropriate, and offers interview tips on how to discuss these designs effectively.

AI InterviewAgent ArchitectureEvaluator-optimizer
0 likes · 3 min read
What Is a Multi-Agent System? Three Core Working Modes Interviewers Expect
AI Algorithm Path
AI Algorithm Path
May 8, 2025 · Artificial Intelligence

Five Essential AI Agent Workflow Design Patterns

This article introduces five core workflow design patterns for AI agents—Prompt Chaining, Routing, Parallelization, Orchestrator‑Worker, and Evaluator‑Optimizer—explaining their mechanics, concrete examples, suitable scenarios, and how they help build reliable, maintainable LLM‑driven systems.

AI agentsEvaluator-optimizerLLM workflow
0 likes · 10 min read
Five Essential AI Agent Workflow Design Patterns