Self-directed writing samples in fintech and AI security. None was commissioned: each was written without a client brief, built with on-page SEO, GEO and AEO, and sourced to primary documents, so you can judge the work before you brief us.
Selected work
Each sample shows the problem it took on, how it was researched, and what it demonstrates. Open the article to read it in full.
Cybersecurity · 17 sources cited
Problem: Shadow AI coverage often centers on employees adopting new tools; the harder case is agents that arrive inside platforms already approved.
Approach: Wrote a technical threat brief on inherited OAuth scope nobody reviewed, grounded in CVE-2025-32711, three named incidents with their limits stated, dated EU AI Act obligations and a governance framework.
Demonstrates: Researching and explaining a technical security issue with primary-source verification and a usable governance framework.
Fintech & AI · 12 primary sources cited
Problem: Visa quietly routed AI-agent purchases into its existing card-not-present dispute rules, and most coverage skipped the actual liability question.
Approach: Wrote a fact-checked breakdown of who eats the loss when an agent buys the wrong thing, verified against Visa's and Mastercard's own rule text.
Demonstrates: Tracing a regulatory and payments question to primary-source rule text and explaining the liability outcome clearly.
AI Fintech · 20+ sourced statistics
Problem: AI personal-finance content was crowded with surface-level listicles with little sourced data.
Approach: Built a long-form authority piece anchored in 20+ sourced statistics, mapped six structural trends, and added a risk framework most coverage skips.
Demonstrates: Turning scattered data points into a structured, evidence-backed trend and risk analysis.
Thesis · Semrush: #1 pages 80.5% likely human-written
Problem: Audiences were tuning out AI-generated content, but the niche had no anchor article explaining why.
Approach: Built an original thesis on why human creators are earning an authenticity premium in 2026, tested against Semrush and Ahrefs ranking data and audience-engagement research.
Demonstrates: Why verified, human-edited work is the moat when AI-generated pages flood search.