Field notes · ReleaseDelta

Read the change. Decide what matters.

Engineering teams depend on AI models, APIs, SDKs, and pricing that keep changing. These notes look at how to separate an announcement from the work it creates downstream.

Published writing

  1. Lex Liu

    Knowing Which AI API Changes Matter Is the Hard Part

    A practical way to assess AI model, pricing, quota, and SDK announcements against the deployments and workloads that depend on them.

    Read essay: Knowing Which AI API Changes Matter Is the Hard Part
  2. Lex Liu

    A 15-Minute Weekly Review for AI API Changes

    A repeatable way for small engineering teams to review model retirements, API changes, pricing, and deadlines against the services they actually run.

    Read essay: A 15-Minute Weekly Review for AI API Changes
  3. Lex Liu

    How to Track AI Model Deprecation Dates Across Providers

    A source-backed checklist for interpreting model lifecycle terms, platform-specific dates, and migration deadlines across AI providers.

    Read essay: How to Track AI Model Deprecation Dates Across Providers