voice assistant scripts
Basic Information
This repository is a collection of example scripts and sample agent code for building voice-based AI agents using the Alan AI platform. It is intended to demonstrate how to create, configure, and run conversational voice assistants by providing concrete script examples that illustrate interaction patterns and agent behavior. The materials are organized as example scripts rather than a packaged application, and they serve as reference implementations that show how developers can express intents, responses, and voice-driven flows within the Alan AI environment. The repo is maintained by the Alan AI organization and is focused specifically on voice assistant scenarios rather than general-purpose agent tooling.
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App Details
Features
Provides illustrative example scripts for voice assistants built on the Alan AI platform. Contains sample agent behavior and conversational patterns that demonstrate voice interactions and response handling. Serves as template code that developers can adapt to prototype or learn from. Organized as a set of scripts and README guidance hosted in the main branch, with a lightweight repository structure meant for easy inspection and reuse. Repository metadata identifies it as example material from Alan AI, making it straightforward to map examples to the Alan AI platform and its scripting approach. The content is intended for developers familiar with building conversational agents.
Use Cases
Helps developers and teams quickly understand practical usage of the Alan AI platform by providing ready-made scripts to study and adapt. Lowers the learning curve for building voice assistants by showing concrete examples of agent logic and conversational flow. Supports prototyping by offering starting points that can be modified for custom voice interactions, saving time compared to building from scratch. Acts as an educational reference for best practices in voice-driven agent design within the Alan AI ecosystem. Because it is example-focused, it is useful for experimentation, training, and accelerating initial development of voice interfaces.
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