DeLM: The End of Centralized AI Orchestration?
Stanford’s DeLM cuts multi-agent costs 50% without a central orchestrator—here’s what developers need to know about this paradigm shift.
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ai orchestration
Why AI Projects Stall: The Operational Fix Developers Need
Most AI projects fail operations-wise, not model-wise. Learn the code-first orchestration approach that already powers millions of daily executions.
DeerFlow 2.0: ByteDance’s Open-Source SuperAgent Harness and Its Enterprise Tradeoffs
ByteDance’s DeerFlow 2.0 has rapidly become one of the most talked-about open-source AI agent frameworks, drawing intense interest from developers and researchers. For enterprises, however, the questions are more nuanced: what exactly is this “SuperAgent harness,” what problems does it… Read More »DeerFlow 2.0: ByteDance’s Open-Source SuperAgent Harness and Its Enterprise Tradeoffs
Inside AT&T’s Agentic AI Stack: How 8 Billion Tokens a Day Led to a 90% Cost Cut
AT&T’s AI platform was quietly burning through roughly 8 billion tokens every day. For most enterprises, that level of usage is a sign that adoption is working. For Andy Markus, AT&T’s chief data officer, it was also a warning: pushing… Read More »Inside AT&T’s Agentic AI Stack: How 8 Billion Tokens a Day Led to a 90% Cost Cut
Why Shared Memory Is Becoming the Critical Layer in Enterprise AI Orchestration
Enterprises experimenting with AI agents are discovering an uncomfortable pattern: pilots work well in isolated demos, but break down when agents have to operate inside real organizations with real constraints. The underlying problem, according to Asana chief product officer Arnab… Read More »Why Shared Memory Is Becoming the Critical Layer in Enterprise AI Orchestration