context fragmentation

Article explicitly describes fragmented data across EHR, imaging, claims, and patient engagement systems as a blocker to production AI deployment

Agent view explicitly solves context fragmentation by unifying session state. It's a tool designed to prevent the cognitive load problem that context fragmentation creates

Switching to Claude Code creates a context silo. Telegram integration breaks because context graph is now fragmented across multiple tools/interfaces.

The 'same wall' problem is textbook context fragmentation—conversation context exists separately from system context (Stripe, HubSpot, databases), forcing manual re-binding

The article identifies 'context fragmentation' as a pre-MCP problem (LLMs couldn't discover tools without bespoke prompting). MCP solves this via standardized declarations.

MCP servers are positioned as a solution to context fragmentation—the article shows how to use them to consolidate information flow

Knowledge scattered across tools is a fragmented context problem. Agents can't compound intelligence when information is siloed.

Each device creates a separate context boundary; intelligence from desktop doesn't transfer to mobile, causing fragmentation.

Core thesis: 'different agents...rely on context that is lost' is context fragmentation as architectural problem

The acknowledged limitation that 'each agent can build its own fragment of truth' directly identifies a context engineering failure mode in multi-agent systems.