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Five build patterns for agentic AI

Last updated: June 2026
Short answer. Most working agentic systems are built from a few repeatable patterns. Five that hold up in practice: (1) a single agent with tools, (2) a human-approval gate, (3) an orchestrator with specialist sub-agents, (4) a retrieval-grounded agent, and (5) a guardrailed, compliance-checked agent. Most real builds combine several.

The five patterns

  1. Single agent with tools. One agent that can search, read files, run code, or call an API. Simple, transparent, and enough for most tasks.
  2. Human-approval gate (keeper in the loop). The agent prepares; a human reviews and approves before anything is sent, published, or acted on. The default for anything consequential.
  3. Orchestrator + specialists. A lead agent breaks a goal into parts and hands each to a focused sub-agent (research, modeling, drafting), then assembles the result.
  4. Retrieval-grounded (RAG). The agent answers from your verified documents and data rather than from memory, which sharply reduces ‘hallucination’ on facts that matter.
  5. Guardrailed / compliance-checked. A monitoring layer that flags where a licensed professional or a human decision is legally required, and that enforces disclosures and boundaries before output ships.

How to choose

Start with the simplest pattern that does the job (often #1 + #2), and add orchestration, retrieval, or guardrails only where the work demands it. Complexity is a cost; add it deliberately.

Related: What is an agentic AI audit? · The A.G.E.N.T. framework

About this resource. Written and human-reviewed by George Howell Ward, who builds with agentic AI in real estate, finance, and construction and treats compliance as the cornerstone of how a digital persona faces the world. He is a licensed Arizona real estate agent (Salesperson SA528635000, Landmark ACM, LLC); he is not an attorney, CPA, registered investment adviser, securities broker, or clinician. The A.G.E.N.T. framework referenced here is the work of Dr. Ulla Kruhse-Lehtonen and Dirk Hofmann (DAIN Studios), used with the authors’ permission; reference does not imply their endorsement.
Important — please read. General educational and operational information only — not legal, financial, tax, accounting, or investment advice, and not a substitute for a licensed professional in your jurisdiction. George Howell Ward does not solicit investors and takes no transaction-based or finder compensation; Series 82 is a future-targeted credential (~2027) that is NOT currently held. AI-assisted content, human-reviewed (EU AI Act Article 50 posture).