I am Michael Carter, the founder of FAQsy. I build practical AI tools for institutions that need reliable answers from trusted knowledge sources.

FAQsy grew out of a simple observation: schools, teams, and organizations answer the same questions again and again, even when the answer already exists somewhere in a policy, course document, website, handbook, or support resource.

The challenge is not just generating an answer. The challenge is helping people find the right answer, understand where it came from, and keep the knowledge current as policies, courses, and services change.

Why FAQsy Exists

Institutions are full of knowledge workers: instructors, student support teams, advisors, administrators, operations staff, and subject matter experts. Much of their work involves interpreting information, explaining processes, and helping people navigate complex systems.

FAQsy is built for that kind of work.

The goal is to create focused AI assistants that support real institutional workflows, such as:

• Helping students ask questions from college website content and support resources.
• Helping faculty work with syllabi, assignments, rubrics, readings, and course policies.
• Helping internal teams find answers from handbooks, procedures, and operating documents.

My Approach

I care about AI systems that are narrow enough to be useful and grounded enough to be reviewed.

That means starting with a clear audience, trusted source material, and a practical workflow where better answers can save time or improve support.

FAQsy is not trying to be one tool that answers everything. It is a research-informed product lab for building trusted AI tools around institutional knowledge work.

Current Focus

I am currently developing FAQsy builds around student support, faculty workflows, and internal knowledge operations.

The work combines product development, AI application design, content strategy, evaluation, and hands-on learning from real institutional use cases.