Thimble AI streamlines the process of sales call analysis by summarizing your conversations for easy reference. This AI-powered tool utilizes advanced algorithms to extract key points from your calls, giving you quick insights without the hassle of manual note-taking. It integrates seamlessly into your existing workflows, ensuring that you have instant access to your call summaries whenever you need them. With an emphasis on user-friendliness, Thimble AI is perfect for anyone looking to improve their sales performance and manage their conversations more effectively.

The Context-First AGI Cognitive Context Engine (CCE) Prototype provides a robust toolkit for developers to implement context-aware AI agents. It leverages vector embeddings to store historical user interactions, enabling efficient retrieval of relevant context snippets. The engine automatically summarizes lengthy conversations to fit within LLM token limits, ensuring continuity and coherence in multi-turn dialogues. Developers can configure context prioritization strategies, manage memory lifecycles, and integrate custom retrieval pipelines. CCE supports modular plugin architectures for embedding providers and storage backends, offering flexibility for scaling across projects. With built-in APIs for storing, querying, and summarizing context, CCE streamlines the creation of personalized conversational applications, virtual assistants, and cognitive agents that require long-term memory retention.