The first six stages of the '12 Critical Stages of AI Agent Data Flow' are: (1) Data Intake & Parsing, which transforms user prompts, API events, webhooks, or sensor signals into structured data; (2) Short-Term Memory Retrieval, which pulls the last 3-5 conversation turns to maintain context; (3) Long-Term Context Activation, which moves historical data from cold storage into an active workspace; (4) Knowledge Base Grounding, which injects external factual data from documents, databases, and APIs to prevent hallucination; (5) Governance & Policy Injection, which applies safety rules, permission scopes, and budget limits; and (6) Multi-Hop Reasoning & Planning, where agents break down complex goals into step sequences and evaluate trade-offs.

Authors

• Person: Piers Fawkes Organization: LinkedIn
  Designing Knowledge Graphs for AI Reasoning, Not Guesswork

Sources

• Designing Knowledge Graphs for AI Reasoning, Not Guesswork www.linkedin.com Piers Fawkes · LinkedIn via serper

Referenced by nodes (2)

• hallucination concept
• AI agent concept