AI Content Operations
Editorial judgment and machine assistance, working together
AI raises the volume question and the quality question at the same time. The answer is rarely more tools. It's clear standards, good source data and a review process that catches what machines get wrong.
I set up the operating layer: where AI helps, where it doesn't, who signs off, and how you measure whether the output is any good.
What this looks like
- Prompt design and reusable prompt libraries
- Evaluation criteria and scoring for model output
- Data and style-guide readiness for AI use
- Human review workflows and sign-off gates
- Team training
Good fit when
- AI output is fast but off-brand or inaccurate
- Every team prompts differently and results vary wildly
- You need volume without losing editorial quality
- Leadership wants AI results, with the risk controlled
Work with me on ai content operations
I'm open to fractional, consulting and contract engagements, and to a full-time role when it's the right fit.
Contact me