Market Pulse
Market Pulse
What a Required Field Knew
A validation rule in Salesforce fires when a rep moves a deal to "Closed Lost" — won't save without a reason. Nobody calls that governance. It's just how the system works. But as enterprise software goes headless so agents can bypass the UI entirely, that quiet enforcement starts to matter. The interface was encoding what "correct" looked like, thousands of times a day, often without documentation. Now that specification work has to live somewhere else. Most organizations haven't started figuring out where.
What a Required Field Knew
A validation rule in Salesforce fires when a rep moves a deal to "Closed Lost" — won't save without a reason. Nobody calls that governance. It's just how the system works. But as enterprise software goes headless so agents can bypass the UI entirely, that quiet enforcement starts to matter. The interface was encoding what "correct" looked like, thousands of times a day, often without documentation. Now that specification work has to live somewhere else. Most organizations haven't started figuring out where.
Research Desk
On the Reliability Limits of LLM-Based Multi-Agent Planning
MIT's David Simchi-Levi and co-authors, applying decision theory to characterize hard reliability limits on delegated LLM planning.
Not quite. The theorem draws a sharp line: adding agents only helps when they change what information the system has access to.
Research Desk
From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration
LangGraph, CrewAI, AutoGen, Camel, and MetaGPT, with three distinct vulnerability classes mapped to specific collaboration topologies.
The failure mode is consensus, not chaos. Agents converge confidently on wrong answers, and the logs look clean throughout.
Research Desk
AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
Yes, but a revealing one. The wins trace to each sub-agent bringing different tools and context, not to collaboration itself.
It actually reinforces the boundary condition: multi-agent earns its overhead only when each node introduces genuinely new capabilities.
Research Desk
Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets
Stanford researchers Dat Tran and Douwe Kiela, testing across Qwen3, DeepSeek-R1-Distill-Llama, and Gemini 2.5 families.
Only when single-agent context utilization degrades, suggesting the architecture compensates for a limitation rather than adding capability.
Protocol Watch
Eighteen months from Anthropic side project to Linux Foundation stewardship. MCP now sits under the Agentic AI Foundation, co-founded by Anthropic, Block, and OpenAI, with platinum backing from AWS, Google, and Microsoft. The adoption numbers are real: 97 million monthly SDK downloads, over 10,000 published servers, Pinterest reporting 7,000 engineering hours saved per month.
The 2026 roadmap names enterprise readiness as a top priority. But a dedicated Enterprise Working Group doesn't exist yet. The roadmap explicitly asks practitioners to come build one. Audit trails, SSO-integrated auth, gateway behavior, configuration portability: all pre-RFC, meaning no specifications, no implementations. Governance is scaling slower than the protocol it's supposed to govern. A familiar pattern in this ecosystem, playing out again at the foundation layer.
Further Reading
