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System selection guide

Use a rule when a rule will do.

Agents are useful when the work requires multi-step adaptation and tool use. A checklist, deterministic automation, or one bounded model step is often cheaper to understand, test, and maintain.

By Ryan WannerPractical guideReviewed August 20, 2026

Four system types.

  1. 01

    Manual checklist

    Best when volume is low, the work is changing, or the team has not learned the exceptions.

  2. 02

    Deterministic automation

    Best when inputs and rules are structured, stable, testable, and do not need interpretation.

  3. 03

    Workflow + model step

    Best when one bounded stage needs summarization, classification, extraction, or drafting.

  4. 04

    Bounded agent

    Best when cases require planning, tool choice, and adaptation across several steps—with guardrails and oversight.

Make autonomy earn its complexity.

Smallest-system router

Choose the smallest reliable system for this workflow.

WORKFLOW MAP
[paste trigger, steps, decisions, exceptions, actions, receipts]

VARIATION
[what changes from case to case]

TOOLS / SYSTEMS
[available integrations and permissions]

RISK
[privacy, money, client communication, compliance, record integrity, deletion]

Compare: manual checklist, deterministic automation, automation with one model step, and bounded agent. For each, list why it fits or fails, permissions, human gates, tests, failure behavior, receipt, maintenance burden, and exit criteria. Recommend the simplest option that handles observed variation. Do not choose an agent for marketing value.

Situation

Weekly listing-content package

Facts come from a structured listing intake; formats are known; creative drafts vary; publishing is consequential.

Useful output

Deterministic intake validation, one model-assisted content stage, human truth/voice approval, and deterministic export. No autonomous publishing agent.

Completion receipt

Validated intake, source-linked drafts, reviewer approval, asset manifest, export log, and publication handled separately.

Research sources

Check the current rules, capabilities, and source basis.

  1. 01OpenAI: A practical guide to building agents

    First-party guidance on when agents fit, tools, instructions, guardrails, and human intervention.

  2. 02OpenAI: A business leader's guide to working with agents

    First-party guidance on bounded autonomy, permissions, confirmation, human oversight, and audit trails.

  3. 03NIST: AI Risk Management Framework Core

    The Govern, Map, Measure, and Manage framework, including training, intended-use, human-oversight, testing, and documentation outcomes.

Product access, limits, local listing rules, platform policies, and laws can change. Re-check the linked authority before important or public work.

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