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    Authority Guide

    ChatGPT or Claude? We decide by workflow fit, not brand preference.

    This asset ties model-selection decisions to technical and product signals.

    It provides a workflow-first selection framework independent of specific model versions.

    Note: This content reflects implementation practice and does not imply official affiliation with OpenAI or Anthropic.

    Decision Criteria

    • • Task type: creative generation, document analysis, decision support, or tool orchestration.
    • • Risk level: operational impact of incorrect responses and fallback requirements.
    • • Product context: impact of response quality on UX and conversion flow.

    What This Work Usually Includes

    • • Prompt/evaluation matrix and test scenarios.
    • • Per-workflow model selection and fallback rules.
    • • Post-release quality monitoring and cost balancing.

    Good Fit / Not a Fit

    • • Good fit: teams with real product use cases and explicit quality targets.
    • • Not a fit: projects selecting models based purely on brand names.

    When This Guide Is Useful

    This guide is directly applicable when you need to balance speed and quality, make model/workflow choices with evidence, and reduce delivery risk.

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    Frequently Asked Questions

    Can one product use multiple models?+

    Yes. Different workflows often benefit from different model choices.

    Is model selection a one-time decision?+

    No. It is re-evaluated periodically based on product signals.

    Let's adapt this approach to your product

    We can map this decision framework to your product scope and define the first sprint plan together.

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