What matters in practice
- 01
Choose the workflow and success condition before the model.
- 02
Keep human review where mistakes create material risk.
- 03
Log provider errors, latency, and usage cost without exposing private content.
- 04
Design a graceful non-AI fallback for critical paths.
Evidence boundary
This guidance distinguishes verified engineering practice from unmeasured outcomes. No client result, guaranteed ranking, security guarantee, or performance promise is implied.
Frequently asked questions
Can a ChatGPT WordPress plugin answer from site content?+
Yes, with an indexing and retrieval design that respects content access and source quality.
Should AI publish automatically?+
Only in low-risk, well-bounded cases with monitoring and a rollback path. Human approval is safer for most public content.