Who we are
AI Productivity Hub is an independent publication founded in 2024 for people who use AI to ship more, faster — without losing taste. We test tools on our own client work and daily workflows, then write the guide we wish someone had handed us.
Our mission
We help professionals, freelancers, entrepreneurs, students, content creators, marketers and business teams work smarter with artificial intelligence. Every article has one bar: does this give the reader an unfair advantage on Monday morning?
We are not a news aggregator. We do not republish press releases. Everything published here is written by a named human on our team or a disclosed contributor, based on original testing, original reporting or original analysis. When we cite a source, we link it, and we tell you what we agree and disagree with.
How we're funded
AI Productivity Hub is funded through three transparent revenue streams: display advertising (currently in review), affiliate commissions on tools we would recommend regardless, and a small number of clearly-labelled sponsored deep dives. No advertiser or affiliate partner sees, edits or approves a review before it is published. If a relationship exists, we disclose it at the top of the article.
Editorial team
Our editorial team combines operators, engineers and reporters. Every contributor uses AI in their own day job — none of them are full-time bloggers.
Rayan Imop
Founder & Managing Editor
Rayan founded AI Productivity Hub in 2024 after eight years leading marketing operations at two SaaS startups. He writes our tool reviews and oversees every article before it ships.
Areas of expertise: Marketing automation, ChatGPT workflows, no-code AI stacks.
Amelia Osei
Senior Reviews Editor
Amelia is a former product manager (Notion, Zapier) who now runs our hands-on review lab. She has been testing productivity software professionally since 2016.
Areas of expertise: Project management tools, AI writing assistants, workflow design.
Daniel Park
Contributing Engineer
Daniel is a staff engineer at a fintech company and writes our technical explainers on LLMs, agents and evaluation. He holds an MSc in Computer Science from KAIST.
Areas of expertise: LLM evaluation, agent frameworks, API integration patterns.
Priya Menon
Business & News Editor
Priya spent six years reporting on enterprise software for a leading trade publication before joining us. She covers funding, launches and the business side of AI.
Areas of expertise: Enterprise AI adoption, market analysis, vendor reporting.
Editorial standards (E-E-A-T)
Our editorial process is built around Google's E-E-A-T principles — Experience, Expertise, Authoritativeness and Trustworthiness. Read the full process on our editorial policy page, including how we source, review, disclose and correct.
Contact us
Press, partnerships, corrections or reader feedback — reach us through the contact page. We read every message and respond within two business days.
AI Productivity Hub is operated by an independent publisher and has no ownership relationship with any AI vendor covered on the site.