Meet the Team
AI Tool Hub is run by 5 practitioners who use AI tools every day for their own work. Every review is written by a human, tested hands-on, and signed by name. Here is who we are, what we do, and how to reach each of us.
Our team in one paragraph
AI Tool Hub is run by a small distributed team: a lead reviewer (Lin, San Francisco), a senior engineer (Marcus, Seattle), a product designer (Sofia, Mexico City), a marketing lead (Daniel, Austin), and an academic reviewer (Aisha, Boston). We are all practitioners first, reviewers second. The tools we recommend are the tools we use for our own work. The reviews we write are the reviews we wish existed when we were trying to choose our own tools.
How we work together
Our editorial process is built around the fact that we are all in different time zones (PST, CST, EST, and CST in Mexico). The workflow:
- Monday: The team meets async to assign tools to reviewers. Each tool is assigned to the reviewer whose expertise is closest (writing tools to Lin, coding tools to Marcus, etc.).
- Weeks 1-2: The reviewer tests the tool on their own work, keeping a daily log. The other team members see the log in real time and add comments.
- Week 3: The reviewer writes the first draft of the review. The other team members read and add comments.
- Week 4: Lin (Lead Reviewer) does the final editorial pass: fact-checks the pricing, writes the verdict, and publishes the review.
- Every 6 months: The tool is re-tested. The score may go up or down.
The whole team sees every review before publication. If we cannot agree on a verdict, we do not publish. (It has happened twice in 18 months.)
Meet the team
San Francisco, CA
Lin Chen
Lead Reviewer and Editor-in-Chief
Lin has been testing AI tools hands-on for 5+ years. Before AI Tool Hub, she was a senior product manager at a B2B SaaS company and a freelance technical writer. She has personally tested every tool in our directory. Lin writes the long-form reviews and the editor verdicts. She is the lead reviewer for the writing category (ChatGPT, Claude, Gemini, Jasper) and oversees the editorial process.
Education and Background
BA, English, UC Berkeley. MBA, Stanford GSB.
Expertise
Reviews authored
- ChatGPT
- Claude
- Gemini
- Jasper
- ElevenLabs
- Suno
- Notion AI
- Perplexity
- Content-writing category
- Students category
Articles authored
- ChatGPT vs Claude
- Claude vs Gemini vs ChatGPT
- Best free AI tools for students
- Best AI tools for content writers
- How to use Claude for long documents
- How to write better prompts
Seattle, WA
Marcus Webb
Senior Engineer and Coding Tools Reviewer
Marcus is a senior software engineer with 8 years of experience at companies like Stripe, Lyft, and two early-stage startups. He has shipped production code in TypeScript, Python, Go, and Rust. He reviews the AI coding tools (Cursor, GitHub Copilot, ChatGPT for code) and runs the technical fact-checks on every review. He has personally tested every coding tool in our directory on real production code, not toy examples.
Education and Background
BS, Computer Science, University of Washington. Ex-Google, ex-Stripe.
Expertise
Reviews authored
- Cursor
- GitHub Copilot
- All coding tools
- Code review standards
- Developer workflow guides
Articles authored
- Cursor vs GitHub Copilot
- How to use ChatGPT for coding
- How to set up Cursor for your team
- How to use ElevenLabs for podcasts
- Best AI tools for podcasters
Mexico City, MX
Sofia Reyes
Product Designer and Design Tools Reviewer
Sofia is a product designer who has worked at three startups (two as lead designer, one as founding designer). She specializes in B2B SaaS design and has shipped products used by millions of users. She reviews the AI design tools (Midjourney, Figma AI, Adobe Firefly, Runway, Leonardo.AI) and leads the visual side of our reviews. She has tested every design tool on real client work for the last 18 months.
Education and Background
BA, Graphic Design, UNAM. MA, Digital Media, Barcelona.
Expertise
Reviews authored
- Midjourney
- Stable Diffusion
- Leonardo.AI
- Runway
- Sora
- All design tools
- Best AI image generators
- Best AI video generators
Articles authored
- Best AI image generators compared
- Best AI video generators
- Best AI tools for designers
- How to write Midjourney prompts
Austin, TX
Daniel Park
Marketing Lead and Marketing Tools Reviewer
Daniel has been doing growth marketing for 6 years, with a focus on SEO and content marketing for B2B SaaS. He has managed marketing budgets of $500K+/year and has worked with tools like Ahrefs, HubSpot, and Webflow. He reviews the AI marketing tools (Surfer SEO, Jasper, AdCreative.ai, Perplexity, MarketMuse) and runs the marketing workflows we test. He has spent over $50K on AI marketing tools in the last 18 months on real campaigns and tracks the ROI for every recommendation.
Education and Background
BS, Marketing, UT Austin. Ex-HubSpot, ex-Webflow.
Expertise
Reviews authored
- Surfer SEO
- MarketMuse
- Perplexity (marketing use)
- All marketing tools
- Best AI for SEO
- Best AI for small business
Articles authored
- Best AI tools for small business
- Best AI tools for marketing
- Best AI tools for SEO
- How to build a content workflow with AI
Boston, MA
Aisha Patel
Academic Reviewer and Research Tools Lead
Aisha has a PhD in computational linguistics from MIT and 4 years of postdoctoral research experience. She has published 12 peer-reviewed papers on NLP and language models. She reviews the AI research tools (Perplexity, Elicit, Scite, Zotero, Consensus) and writes the academic workflow guides. She has personally tested every research tool in our directory on a real thesis chapter and works closely with the research community to validate our findings.
Education and Background
PhD, Computational Linguistics, MIT. Postdoc, Stanford NLP Group.
Expertise
Reviews authored
- Perplexity (research use)
- Best AI research tools
- Best AI for academic research
- Long-document workflows
Articles authored
- Best AI research tools
- How to use Claude for long documents
- All research-related guides
What we will never do
As a team, we have agreed on the things we will not do, regardless of pressure:
- Publish a review we have not personally tested
- List a tool that does not meet our quality threshold, no matter how much we are paid to list it
- Use AI to write the body of a review (we use AI for editing and ideation only)
- Remove a negative review in exchange for payment
- Publish sponsored content disguised as editorial review
- Share user data with third parties (we do not collect user data, period)
- Make up a quote, a stat, or an experience in a review
If you see us doing any of these, please tell us immediately. We will fix it and update the public changelog.
How to contact individual team members
For topic-specific questions, you can reach the relevant reviewer directly:
- Writing tools, content, editorial: Lin at lin@ai-tool-hub.example
- Coding tools, developer workflow: Marcus at marcus@ai-tool-hub.example
- Design tools, image/video generation: Sofia at sofia@ai-tool-hub.example
- Marketing tools, SEO, content workflow: Daniel at daniel@ai-tool-hub.example
- Research tools, academic workflows: Aisha at aisha@ai-tool-hub.example
- Partnerships, press, general: partnerships@ai-tool-hub.example
- Errors, corrections: corrections@ai-tool-hub.example
For everything else, use the contact form.
How to join the team
We occasionally onboard new reviewers who have hands-on experience with a specific tool category. The right fit:
- You use AI tools daily for your own work (we are practitioners, not journalists)
- You have a track record of writing honest reviews (on your own blog, in a publication, or for your employer)
- You are willing to be transparent about any conflicts of interest (e.g. if you used to work at a vendor)
- You can commit to 5-10 hours per week (for a single review)
If this sounds like you, email join@ai-tool-hub.example with a writing sample, a list of the tools you use daily, and 2-3 reviews you would write if you joined. We respond within 2 weeks.
Our editorial process (for the curious)
For the full editorial guidelines, see our editorial guidelines page. For the scoring methodology, see our methodology page. For the changelog of what we have published, see our changelog.