Graph Engineering: Design Principles for Structuring AI Agent Workflows
type: TechArticle
language: en
main entity of page: https://injoys.com/en/articles/graph-engineering-ai-agent-workflow-guide
date published: 2026-08-21T02:29:06+09:00
date modified: 2026-08-21T02:29:06+09:00
description: Principles for AI agent workflow design with nodes, edges, states, and conditions: routing, parallel processing, validation, failure recovery, and approvals.
author: Injoys Editorial Team
publisher: Injoys
  type: Organization
keywords: Generative AI
keywords: Context Engineering
keywords: Harness Engineering
keywords: AI Agents
keywords: AI Development
keywords: Development Tools
is accessible for free: true
is part of: Injoys
word count: 1979
image: ImageObject
  caption: Woman operating a connected workflow graph on a touchscreen in a server room
image: ImageObject
  caption: Workflow diagram linking AI agents, data dashboards, validation, security, and human review
about: AI Data
mentions: Generative AI
mentions: Context Engineering
mentions: Harness Engineering
mentions: AI Agents
mentions: AI Development
mentions: Development Tools
citation: Building effective agents
citation: LangGraph
citation: Temporal Documentation
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citation: Graphiti
citation: OWASP Top 10 for Large Language Model Applications

Injoys Editorial Team
type: Person