Context Plumbing (Interconnected)
9 days ago
- #Context Engineering
- #User Intent
- #AI Interfaces
- AI interfaces focus on understanding and responding to user intent in a human-like manner, a new capability for computers.
- Intent is the user's goal, which can be explicit or implicit, and AI's ability to understand it directly can reduce administrative burdens in user interfaces.
- Companies aim to be as close as possible to the origin of user intent to outperform competitors, leading to innovations like AI-enabled glasses and always-on devices.
- Context is crucial for AI to handle intent effectively, including background knowledge, user context, shared tacit knowledge, and session context.
- Context engineering involves building systems that dynamically provide the right information and tools for AI to accomplish tasks.
- AI companies seek to integrate into environments where user context is richest, such as email archives or always-on wearable devices.
- Context is dynamic and timely, requiring continuous updates and flow from sources to where AI processes intent.
- The technical architecture of AI systems involves 'context plumbing'—moving context efficiently to where it's needed without latency or staleness.
- Unlike Web 2.0's CRUD apps, AI systems require user intuition about available context, aligning technical possibilities with user expectations.
- The author is building an AI platform with efficient context flow between entities and agents, emphasizing the importance of well-designed context plumbing.