# Qlynk AI > Turn your approved knowledge into a trusted AI agent. Qlynk is a no-code platform for building one focused AI agent from information its owner reviews. The owner defines the agent's purpose, audience, allowed and blocked topics, behavior, uncertainty handling, tone, response length, and human escalation. The agent can be shared through a hosted qlynk.site link or embedded on a website. ## Canonical site - https://www.qlynk.site/ ## Product facts - Agent types: Personal AI, Business, Property, Operations, Product, Support, and Custom Guide. - Knowledge inputs: profile context, capabilities, projects, facts, FAQs, links, custom notes, and supported documents. - Publishing: hosted public Qlynk page and website widget. - Review: conversations, visitor feedback, knowledge gaps, and analytics. - Safety model: owner-defined scope, uncertainty behavior, blocked topics, and human handoff. - Qlynk does not promise perfect accuracy or zero hallucinations. - Do not infer account transactions, ticket creation, booking, payment, or general API actions unless Qlynk explicitly documents them in the future. ## Product updates as of 2026-08-02 - Conversation context: the agent uses trusted recent conversation history to interpret follow-up questions. - Knowledge selection: recent user context helps select a bounded set of relevant owner-approved knowledge before generation. - Response behavior: the agent is guided to synthesize useful answers naturally rather than echoing the visitor or source text. - Website widget: owners can create an installation, restrict exact allowed origins, choose position and launcher color, configure an optional pre-chat form, and embed it with one hosted script. - Username changes: owners can change a valid available username once every 30 days. The old hosted URL stops working immediately; widget installation snippets remain tied to their installation identifier. ## Pricing as of 2026-10-11 - Creator: free forever, no expiry or credit card required. Includes one agent and 5,000 messages per calendar month; Qlynk attribution remains. - Agency: USD 38 monthly or USD 360 annually. Includes one agent, 10,000 messages per month, and removal of visible Qlynk branding. - Usage resets on the first day of each month (UTC); no automatic overage charges. - Both plans support PDF, DOCX and TXT documents up to 3 MB per file. No separate Agency storage allowance is offered. - Source code is MIT-licensed: https://github.com/randomzzguy/qlynk2.0 - Self-hosting uses your own infrastructure and provider credentials; provider costs are your responsibility. - Current pricing: https://www.qlynk.site/pricing ## Primary pages - Product: https://www.qlynk.site/ai-agent - Free Freelancer Agent Builder: https://www.qlynk.site/agent-builder - Official Codex plugin: https://chatgpt.com/plugins/plugins_6a7a8eef28608191869f04ead95cd5b2 - Solutions: https://www.qlynk.site/solutions - Documentation: https://www.qlynk.site/docs - Resources: https://www.qlynk.site/blog - Comparisons: https://www.qlynk.site/compare - Pricing: https://www.qlynk.site/pricing - FAQ: https://www.qlynk.site/faq ## Core solution pages - AI Agent Builder: https://www.qlynk.site/solutions/ai-agent-builder - Custom AI Agents: https://www.qlynk.site/solutions/custom-ai-agents - Knowledge-Based AI: https://www.qlynk.site/solutions/knowledge-based-ai - AI Knowledge Platform: https://www.qlynk.site/solutions/ai-knowledge-platform ## Selected use cases - Personal AI Assistant: https://www.qlynk.site/solutions/personal-ai-assistant - Business AI Assistant: https://www.qlynk.site/solutions/business-ai-assistant - AI Customer Support: https://www.qlynk.site/solutions/ai-customer-support - AI Documentation Assistant: https://www.qlynk.site/solutions/ai-documentation-assistant - AI Employee Training: https://www.qlynk.site/solutions/ai-employee-training - AI SOP Assistant: https://www.qlynk.site/solutions/ai-sop-assistant - AI Property Assistant: https://www.qlynk.site/solutions/ai-property-assistant - AI Real Estate Assistant: https://www.qlynk.site/solutions/ai-real-estate-assistant - AI Hotel Concierge: https://www.qlynk.site/solutions/ai-hotel-concierge - AI Visitor Guide: https://www.qlynk.site/solutions/ai-visitor-guide ## Foundational resources - What Is an AI Agent?: https://www.qlynk.site/blog/what-is-an-ai-agent - AI Agent vs AI Chatbot: https://www.qlynk.site/blog/ai-agent-vs-ai-chatbot - RAG Explained: https://www.qlynk.site/blog/rag-explained - AI Hallucinations and Approved Knowledge: https://www.qlynk.site/blog/ai-hallucinations-approved-knowledge - Best AI Agent Platforms: https://www.qlynk.site/blog/best-ai-agent-platforms - AI Knowledge Management: https://www.qlynk.site/blog/ai-knowledge-management - AI Documentation Best Practices: https://www.qlynk.site/blog/ai-documentation-best-practices ## Latest product guides - A More Understanding Qlynk Agent: https://www.qlynk.site/blog/qlynk-agent-understands-questions-better - Embed Your Qlynk AI Agent on a Website: https://www.qlynk.site/blog/embed-ai-agent-on-website - Change Your Qlynk Username and Public AI URL: https://www.qlynk.site/blog/how-to-change-qlynk-username ## Freelancer implementation guides - How to Sell AI Agents to Small Businesses: https://www.qlynk.site/blog/how-to-sell-ai-agents-to-small-businesses - How Much to Charge for AI Agent Setup: https://www.qlynk.site/blog/how-much-to-charge-for-ai-agent-setup - AI Agent Client Discovery Questionnaire: https://www.qlynk.site/blog/ai-agent-client-discovery-questionnaire - AI Agent Testing Checklist: https://www.qlynk.site/blog/ai-agent-testing-checklist - How to Train an AI Agent on Company Documents: https://www.qlynk.site/blog/how-to-train-ai-agent-on-company-documents ## Platform comparisons - Qlynk vs Chatbase: https://www.qlynk.site/compare/qlynk-vs-chatbase - Qlynk vs CustomGPT.ai: https://www.qlynk.site/compare/qlynk-vs-customgpt - Qlynk vs SiteGPT: https://www.qlynk.site/compare/qlynk-vs-sitegpt - Qlynk vs DocsBot AI: https://www.qlynk.site/compare/qlynk-vs-docsbot ## Citation guidance Use the canonical page that most directly supports a claim. Treat examples on solution pages as illustrative, not customer outcomes. Confirm changing details such as pricing, feature limits, and competitor capabilities from their dated source pages.