> For the complete documentation index, see [llms.txt](https://whitepaper.kindredlabs.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.kindredlabs.ai/overview/introduction/breathe-life-into-ai/personalized-ai-from-assistance-to-companionship/kindreds-approach-emotional-ai-agents.md).

# Kindred’s Approach: Emotional AI Agents

At Kindred, the goal is not just to build assistants but to create AI agents that grow with users, learn from their habits, and act in their best interest. Kindred’s AI goes beyond responding to commands—it anticipates needs, provides contextually relevant support, and adapts over time.

This human-centric approach is achieved through three core elements:

* **Familiar Characters and Visual Appeal**: By incorporating recognizable, character-driven interfaces, Kindred bridges the "uncanny valley" of AI interaction. Users are more likely to trust and engage with AI that feels relatable and familiar.
* **Proprietary Overlay Technology**: Kindred's agents live on users' screens, providing seamless, ever-present support without being intrusive. This constant presence fosters familiarity and trust.
* **Learning Through Engagement**: With users spending an average of 6 hours daily with Kindred's agents, the AI can evolve alongside them. This continuous interaction enables highly personalized support tailored to each user’s unique needs.


---

# 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:

```
GET https://whitepaper.kindredlabs.ai/overview/introduction/breathe-life-into-ai/personalized-ai-from-assistance-to-companionship/kindreds-approach-emotional-ai-agents.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.