AI errors caught and corrected
BACKGROUND This project was a human-in-the-loop example documenting six real errors caught during the review of AI-assisted content drafts across three different pieces and content types. The goal was to show what AI errors actually look like, how each was identified, and what would have happened if it had been published. I documented each error […]
Learn More
AI research and structure with human voice
BACKGROUND This project was a human-in-the-loop example demonstrating a specific AI use pattern: using AI to consolidate research and build a structural scaffold for a thought leadership piece, then writing the piece entirely from scratch using that scaffold as context. The goal was to show clearly where AI contributed value and where it would have […]
Learn More
AI draft vs edited version
BACKGROUND This project was a human-in-the-loop example showing the editing process for one AI-assisted blog post with full annotations explaining every editorial decision. The goal was to demonstrate the gap between an AI draft that will not embarrass the brand and a piece that is genuinely good enough to publish. I structured the document as […]
Learn More
Strategic AI usage by content type
BACKGROUND This project was a reference document showing how AI use should differ across SEO content, thought leadership, and social content, and why using AI the same way for all three produces different failure modes in each. The goal was to make the governing logic explicit so team members could make principled decisions rather than […]
Learn More
AI prompt library
BACKGROUND This project was an operational reference document for a content team using AI tools across ideation, structuring, drafting, and editing tasks. The goal was to give every team member a tested, documented set of prompts with clear guidance on when to use each one, when not to, and what human review was required after. […]
Learn More
AI content workflow
BACKGROUND This project was a documentation of how AI tools are integrated into a professional content practice. The goal was to describe exactly where AI adds speed without adding risk, and where human judgment remains the irreplaceable component, rather than producing either a blanket permission or a blanket prohibition. I mapped the workflow across three […]
Learn More
AI content evaluation framework
BACKGROUND This project was an internal quality tool for a content team producing AI-assisted content. The goal was to give editors a structured framework for deciding whether AI-generated drafts were ready to publish, with clear thresholds that distinguished between items requiring a fix, items requiring a return to the writer, and items that should block […]
Learn More
AI SEO scaling strategy
BACKGROUND This project was for a content team aiming to triple SEO output from four to twelve pieces per month without degrading quality. The goal was to design a strategy that allocated AI effort to the parts of SEO production where it added speed without compromising quality, and protected human effort for the parts where […]
Learn More
AI integration strategy for a content team
BACKGROUND This project was an internal strategy document for a content team introducing AI tools into their production workflow. The goal was to define exactly where AI would be used, how it would be used, what guardrails applied, and who was accountable for what, rather than leaving those questions to individual judgment. I built the […]
Learn More
AEO roadmap for a US-based personal finance and savings app
BACKGROUND This project was for a client in the US consumer fintech space. The goal was to position the brand as a cited source in AI-generated answers about savings strategies, budgeting frameworks, and app recommendations, in a category where YMYL classification means the credibility bar for AI citation is significantly higher than most. I built […]
Learn More
