Schema Drift Reaches the Tool Definition
Context layer series Everyone who sells a context layer talks about freshness. Fresh rows, streaming…
Aug 20, 2026
Context Engineering
How enterprises build, structure, and govern the context AI agents need to work reliably. This includes Nexla’s Context Layer series, covering tool schema design, context freshness, identity, and evaluation, alongside broader coverage of context engineering for production AI systems.
The Tool Description Is the Context
Context layer series MCP tool schema design is the practice of writing a tool’s name,…
Aug 20, 2026
How to Evaluate a Context Layer beyond Token Counts
Context layer series Two MCP servers sit in front of the same warehouse. You ask…
Aug 20, 2026
Whose Identity Is Calling? Agent Identity, User Identity, and One Shared Context
Context layer series Ask “how many active customers do we have in EMEA” in Claude…
Aug 20, 2026
Read Context Is Solved. Write Context Is Not.
Context layer series Write context is the information an AI agent needs before it changes…
Aug 20, 2026
Meet Nexie: AI Agent for Anyone Evaluating Nexla
Meet Nexie, the AI knowledge agent on nexla.com that answers your hardest questions about agentic data integration, without the sales pitch.
Jun 15, 2026
Featured
The Future Is Not One MCP Server Per Application
A separate MCP server per app doesn’t scale. See why task-specific, governed MCP servers across your systems are the future, with Nexla MCP Studio.
Jun 9, 2026
Semantic Abstraction: The Secret Weapon Against Agent Hallucinations
Raw RAG systems still hallucinate because they lack business context. Learn how semantic abstraction and Nexsets improve AI agent reliability.
May 28, 2026
Real-Time Context Is Not Optional: Why Batch Data Breaks AI Agents
Batch data breaks AI agents in production. Real-time context ensures fresh, reliable decisions powered by CDC, streaming, and data products.
May 22, 2026
Context Overload in AI Agents: Why Bigger Context Windows Don’t Improve Performance
Bigger context windows do not always improve AI agents. Learn why targeted context engineering delivers better enterprise AI performance.
May 15, 2026
Context Compounding Effect: How Org Intelligence Makes Every Data Connection Smarter
See how Nexla’s Org Intelligence turns every new data connection into smarter, faster, AI-ready enterprise data products.
Apr 9, 2026
The Context Graph Paradox: When More Data Makes AI Agents Worse
Discover why context graphs fail at scale and how semantic structure delivers reliable runtime context for enterprise AI agents.
Mar 20, 2026
The Data Layer Your AI Is Missing
Connect, contextualize, and govern enterprise
data across 1000+ systems in real time.
