> For the complete documentation index, see [llms.txt](https://docs.fuku.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fuku.ai/getting-started/markdown.md). # Frequently Asked Questions Q: What is Fuku AI?\ A: Fuku AI is an AI-powered hiring operating system that helps companies search, screen, interview, and make better hiring decisions faster. *** Q: Who is Fuku AI for?\ A: Fuku AI is designed for SMEs, recruitment agencies, and fast-growing teams that need to hire efficiently without large HR teams. *** Q: Do I need an ATS or HRM to use Fuku AI?\ A: No. Fuku AI works independently and can also integrate with existing ATS or HR systems if needed. *** Q: What is Talent Search?\ A: Talent Search allows you to find suitable candidates using AI matching based on role requirements, skills, and experience. *** Q: Where does Fuku AI get candidate data from?\ A: Fuku AI aggregates data from compliant third-party data providers, our own proprietary datasets, and user-uploaded resumes, following applicable data protection laws. *** Q: Is Talent Search real-time?\ A: Yes. Each search is executed in real time based on your criteria and filters. *** Q: How accurate is the matching?\ A: Matching accuracy improves as more signals are available (role clarity, skill requirements, industry, seniority). AI scores are designed to support—not replace—human judgment. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.fuku.ai/getting-started/markdown.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.