CodeBaby

You’ve Got Questions—We’ve Got (Friendly) Answers

Explore our most commonly asked questions about CodeBaby’s avatars, platform, integrations, and capabilities—no jargon, just clarity. And if you don’t find what you need, Abby, our real-time digital human, is always here to help with instant answers and friendly guidance.

FAQs

Your questions answered

Yes, it is possible to integrate CodeBaby avatars with the navigation of your website. The avatars can be programmed to assist users in finding information, guide them through website sections, or even help complete tasks like filling out forms or checking out. This integration can enhance the user experience significantly by providing interactive, personalized guidance and support.

Yes. Cresso™ is designed to align with curriculum goals and classroom expectations, with controls and visibility to ensure it supports a teacher’s approach. 

Cresso™ reinforces what teachers are already teaching by providing students with guided, on-demand support outside the classroom. It helps extend learning without replacing instruction.

No. Cresso™ is designed to guide students through a problem rather than give them the answer. It helps students to understand the process so they develop critical thinking and can solve problems themselves.

No. CressoTM is designed to support teachers, not replace them. It handles repetitive questions and provides guided practice so educators can focus on instruction, mentorship, and student engagement. 

Unlike general-purpose AI tools, CressoTM is purpose-built for education. It is designed with guardrails that: 

  • Encourage critical thinking instead of shortcuts  
  • Keep conversations focused on learning  
  • Align with classroom instruction  
  • Provide transparency for educators and parents 

Cresso™ is a conversational AI study companion designed to guide students through learning. It helps students think through problems, ask better questions, and build understanding—without simply giving them answers. 

CodeBaby avatars and the associated AI are typically hosted on the cloud to leverage robust and scalable infrastructure, ensuring efficient distribution, maintenance, and updates. This setup allows for seamless integration and real-time data processing capabilities, which are crucial for dynamic avatar interactions.

However, if your organization has specific requirements for data handling or security that necessitate local hosting, we can discuss tailored solutions that may include dedicated deployment options. These setups can be engineered to meet specific regulatory or privacy considerations.

CodeBaby supports several Large Language Models (LLMs) for powering conversational AI, allowing you to choose based on your specific needs and preferences. We can integrate with popular models like OpenAI’s GPT-4, Claude and Sonnet as well as custom models tailored to your organization’s requirements.

These LLMs can be used as the conversational engine for your avatar, delivering more dynamic, context-aware, and nuanced interactions compared to more traditional scripted responses.

CodeBaby uses established third-party services for Speech-to-Text (STT) and Text-to-Speech (TTS) functionalities to ensure high quality and reliability in voice interactions.

For Text-to-Speech, we primarily use Amazon Polly and Azure Speech services, which provide a wide range of voices and languages. These platforms offer both standard and neural voices, allowing us to select the best option to match the desired tone and clarity for the avatar’s speech.

CodeBaby avatars primarily operate based on LLMs and predefined knowledge bases, scripts, and integrations with specific data sources or API connections you set up within your systems. While they don’t independently search the internet like a general search engine or some AI models, they can access and use data provided to them or retrieve information from databases and other integrated systems to provide accurate and relevant answers to user questions.

If you need an avatar that can pull in dynamic content from online sources, you could integrate external APIs that fetch real-time data or information as part of the avatar’s response capabilities.

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