Editorial Team

AI Companion Today is produced by named experts with credentials in psychology, tech journalism, and AI product evaluation. Every article carries a byline. Mental health articles include a medical reviewer.

Sarah Chen

Senior AI Companion Reviewer

M.A. Psychology, University of Toronto

Sarah specializes in conversational AI evaluation with a focus on emotional intelligence, memory persistence, and user attachment patterns. She has tested 50+ AI companion apps over 200+ hours, comparing memory retention, character consistency, and ethical guardrails. Her background in psychology informs AICT's methodology for evaluating AI relationships and mental health implications.

Areas of expertise

  • AI companion app evaluation
  • Conversational AI testing methodology
  • Mental health AI safety
  • User attachment patterns
  • AI roleplay quality assessment

Verticals covered

companion · mental-health · romance · seniors

Marcus Rivera

AI Productivity & Tools Specialist

Tech Journalist, formerly at TechCrunch and The Information

Marcus covers AI tools for productivity, content creation, and business automation. He has reviewed 100+ AI productivity SaaS products including Jasper, Notion AI, ChatGPT Plus, Claude Pro, Grammarly, and Surfer SEO. His monthly best-of guides are refreshed with hands-on testing and pricing comparisons. Marcus brings 8 years of tech journalism experience to AICT's productivity vertical.

Areas of expertise

  • AI productivity tools comparison
  • AI writing assistants benchmarking
  • Language learning AI assessment
  • Education AI for kids and teachers
  • Gaming AI emerging niche

Verticals covered

productivity · language · education · gaming

Medical Advisory Board

Mental health articles are reviewed by board-certified mental health professionals before publication. Contact editorial@aicompaniontoday.com for advisory board details.

Review process: Every mental health article receives dual-byline review (author + medical reviewer) per Google YMYL guidelines.

Editorial Methodology

  • Apps tested: 50+ AI companion apps
  • Total testing hours: 200+
  • Hours per app: minimum 4 hours, average 8 hours
  • Scoring criteria: 10 weighted dimensions

Read full methodology →