🎯 How to build with AI agents | Building interactive experiences
Part 3/6 AI virtual agents series | Get started with AI | How-to guides and features
Building interactive experiences
Text is just the tip of the iceberg.
True interaction with virtual agents involves a symphony of modalities - voice, gestures, facial expressions, and even emotional cues.
This chapter is your guide to orchestrating these elements to create truly immersive and engaging experiences.
We'll explore how to go beyond basic commands and responses to build virtual agents that can understand and respond to the nuances of human communication.
▸ As virtual agents become increasingly sophisticated in their ability to mimic human emotions, how will this impact our understanding of empathy and connection?
This is a sub-series of the Deep dive series “How to build with AI agents,” this time we are focusing on building on your existing foundation and focusing on the unique aspects of virtual agents:
Introduction (read it here)
Part 1: Defining the Virtual Agent - Beyond the Chatbot (read it here)
Part 2: Designing for presence and personality (read it here)
Part 3: Building interactive experiences (this part)
Part 4: The tech stack of virtual agents
Part 5: Ethics and the future of virtual agents
FAQs
Conclusion
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“How to with AI agents” is a five-part weekly series exploring AI agents’ capacity to revolutionize how we work, live, and interact with technology.
Part 1: AI agents, how to perform?
We need to understand the direction of AI agents’ improvement over time and acknowledge the importance of a combination of workflow systems, human expertise, and AI for well-balanced, ethical, and responsible distribution.
Part 2: Targeting the underserved
We'll likely see AI Agent solutions initially addressing niche markets or tasks currently considered too simple or mundane for humans. Imagine AI chatbots handling basic customer service inquiries or virtual assistants managing simple logistics tasks.
Part 3: Gradual market expansion
As AI Agent capabilities mature, they'll start encroaching on more complex tasks, gradually taking over mainstream functions currently performed by humans. Think of AI-powered financial advisors or intelligent document review tools.
Part 4: Strategy as the key driver
This market expansion hinges on continuous improvement in AI Agent performance. Advancements in areas like natural language processing, decision-making algorithms, and user interaction will be crucial.
Part 5: The democratization of AI
Disruptive innovation often leads to more accessible and affordable technologies. We might see AI Agents becoming readily available for small businesses and individuals, not just large corporations.
Deep dive: does a higher level of automation in AI mean less human control?
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