Templating and Schema Design for Structured Content at Scale
Defining content types and fields before writing makes AI-generated docs verifiable.
Defining content types and fields before writing makes AI-generated docs verifiable.
Production writing APIs need routing, revision loops, and voice checks.
Combining different models blurs the single-model fingerprint detectors rely on.
RAG handles facts that change; fine-tuning shapes how models write.
OpenAI's watermark requires publishers to rethink AI disclosure practices.
Release notes need structured pipeline stages, not just a better writing model.
Automated content checks in CI/CD enforce style rules before publication.
AI-generated content demands version control, audit trails, and model checkpoints.
Treat content generation like software: version models, share context, and automate quality gates.
Treat output quality as observable telemetry, not just successful API calls.
Harnesses enforce voice and accuracy through architecture, not just prompts.
Building a system for human-quality content requires architecture, not just picking the best model.