Skippr AI offers live AI agents designed to act as employees within your product, providing real-time assistance to every user. These agents are capable of seeing, talking, and operating software, thereby onboarding, activating, and unblocking users autonomously. The core purpose is to offer a human-level presence and capability directly within the user experience, enhancing engagement and reducing friction.
The problem Skippr AI addresses is the common failure point of traditional AI assistants or chatbots that lack true understanding and agency. When an AI agent is too slow, loses context in long interactions, misses nuances in communication, or requires constant human oversight for basic tasks like knowledge updates, it creates more problems than it solves. Skippr AI aims to overcome these limitations by creating agents that function more like trusted employees, capable of independent operation and continuous learning.
One key feature is the agent's ability to see, talk, and operate software in real-time. This means the AI can interact with your product's interface as a user would, performing actions and providing guidance. This capability is crucial for tasks like onboarding new users, demonstrating features, or troubleshooting issues directly within the application.
Another significant capability is the agent's memory and agenda across full sessions. Unlike stateless chatbots, Skippr agents retain context throughout an entire interaction, allowing for more natural and productive conversations. This persistent memory ensures that the agent can follow complex multi-step processes and understand the user's ongoing needs without constant repetition.
Skippr agents also offer multilingual support, speaking up to 10 languages with real-time switching. Users can simply start speaking in their preferred language, and the agent will adapt. For languages beyond the 10, there is support in mono mode for 50 languages, ensuring broad accessibility. This feature is vital for global products aiming to serve a diverse user base effectively.
The platform provides built-in browser automation, enabling agents to act directly on screen. This eliminates the need for users to perform actions themselves or for developers to build complex integrations for every task. The self-serve nature allows users to spin up an agent in minutes, embed it with minimal code, or share a meeting link.
Skippr AI operates on a unique methodology that treats AI agents as employees. They are trained on your specific knowledge base, call transcripts, and their own vision and experience within your app. The system learns from every session, continuously improving its performance. For enterprise clients, a human-in-the-loop option is available, where the agent can ask for clarification instead of proceeding when uncertain. Configurable guardrails, including disabling actions or requiring user approval for plans, add layers of control, especially for sensitive or destructive operations.
The benefits for users include a more seamless and efficient experience, with immediate assistance available for onboarding, training, and support. Businesses benefit from reduced support costs, increased product adoption, and improved customer satisfaction, as users are empowered to navigate and utilize the product effectively on their own.
Concrete use cases include guiding new users through complex onboarding flows, providing in-app training on new features, conducting interactive product demos, and offering real-time support for troubleshooting. The agents can also be used internally for team training or to assist with internal workflows.
Skippr AI is designed for a range of users, from startups to enterprise clients. The platform offers a self-serve option with 200 free credits to start, and a startup package from $149. For higher volumes or enterprise needs, direct contact is encouraged. The product can be embedded with just two lines of code, suggesting a web-based platform with potential for API integration.
In summary, Skippr AI delivers intelligent, autonomous AI agents that act as live employees within your product, offering real-time, context-aware assistance to enhance user experience and drive product adoption.