AI Agents

AI Agents are the core of Knobase’s intelligent automation. These agents are customizable AI assistants that can be tailored to specific school needs, subjects, or student groups. They help answer questions, provide feedback, and support learning in real-time.

Responding with School-Specific MaterialsKnobase Agents: Context-Aware AI for Your School Knobase agents are trained using your school’s actual documents—such as curriculum guides, calendars, assessment schedules, and policy handbooks—so they can provide answers that are accurate, relevant, and personalized to your institution.
Provide Feedback on Assignments Knobase agents can review student-submitted content—such as essays, project drafts, or even images—and provide constructive, rubric-aligned feedback. By referencing your school’s actual assessment criteria, the agent ensures that students receive guidance that is both actionable and aligned with expectations.
Lesson and Resource Planning Knobase agents aren’t just for students—they’re powerful tools for teachers and curriculum designers too. Educators can use agents to: Brainstorm lesson ideas Find relevant teaching materials Adapt content for different student levels Align activities with curriculum goals By referencing your school’s curriculum documents, resource folders, and pedagogical guidelines, Knobase agents provide context-aware suggestions that save time and spark creativity.
Creating Your First Agent Knobase empowers educators to build custom AI agents that serve specific roles within the school—whether it's answering curriculum questions, handling administrative queries, or supporting student learning. These agents are not one-size-fits-all; they’re purpose-built, trained on your school’s documents, and tailored to meet the needs of different departments and user groups. This section walks you through the agent creation process step by step.
Naming Your AgentThe first step in building a Knobase agent is selecting a name that reflects its purpose, audience, and personality. A well-chosen name helps users immediately understand what the agent does and builds trust and engagement from the start.
Writing a Clear Agent DescriptionThe agent description is a short summary that sets expectations for users. It helps them understand the agent’s role, audience, and tone at a glance. A well-written description builds trust and ensures users know what kind of help they can expect.
Choosing a Foundational AI ModelKnobase supports multiple AI models, each optimized for different educational tasks. Choosing the right model ensures your agent performs effectively based on its role, audience, and content type.
Uploading School-Specific Materials To ensure your Knobase agent provides accurate, personalized, and school-specific responses, you need to upload relevant documents. These files form the Knowledge Base that the agent uses to answer questions, give feedback, and support users with real context.
Adapt Tone and StyleKnobase agents can be customized to match the tone, vocabulary level, and visual style appropriate for different audiences—whether it’s young students, parents, or school staff. This ensures that every interaction feels natural, engaging, and age-appropriate.
Write a Detailed PromptWhile the agent description is a short summary for users, the system prompt is a behind-the-scenes instruction that defines how the AI behaves. It’s the most important part of agent setup—guiding tone, scope, personality, and response style.
Visual Styling Knobase allows educators to visually customize each AI agent to reflect the school’s branding, the agent’s role, and the intended audience. This personalization helps agents feel like a natural part of your school’s digital ecosystem and enhances user engagement. Why It Matters Brand Alignment: Reinforces your school’s identity across platforms. Audience Connection: Makes agents more approachable and relatable. Functional Clarity: Helps users instantly recognize the agent’s purpose.
Model Selection & Switching
Testing & Refining Agents Once your AI agent is created, it’s essential to test its performance in realistic school-based situations. This ensures the agent is not only functional but also accurate, age-appropriate, and aligned with your school’s tone and expectations.
Simulate Real-World Queries Once your agent is built and connected to your school’s documents, it’s time to simulate typical user interactions. This step helps you evaluate how well the agent performs in realistic scenarios—ensuring it delivers accurate, helpful, and context-aware responses.
Continuous Improvement Creating a Knobase agent is just the beginning. The platform is designed for ongoing refinement, allowing educators to continuously improve their agents as school needs, documents, and user feedback evolve.
Deployment Settings & Access ControlKnobase allows you to selectively deploy agents to specific user groups, ensuring each agent serves its intended audience effectively. This targeted deployment improves clarity, security, and relevance, making sure users only interact with agents designed for their needs.
AI Agent Marketplace
Knowledge Retrieval (RAG) Knobase agents use Retrieval-Augmented Generation (RAG) to ensure every response is grounded in real, school-specific content. Instead of relying on general knowledge or pre-trained data alone, RAG enables agents to search your uploaded documents in real time and generate answers based on what’s actually written in your curriculum guides, policies, lesson plans, and more.