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
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
Large language models (LLMs) are getting dramatically better at abstract reasoning, planning and natural language interaction. Yet when those same models are dropped into real-world, real-time products, the gaps become obvious: they often don’t know what’s actually available, where, when,… Read More »Inside Instacart’s ‘Brownie Recipe Problem’: Why Real-Time AI Needs Fine-Grained Context, Not Just Better Reasoning
Airtable is extending its data-first approach into the world of AI agents with Superagent, a standalone research agent designed to coordinate teams of specialized models. Rather than presenting another generic “AI copilot,” Superagent focuses on a specific problem many data… Read More »Inside Airtable’s Superagent: A Context-Aware Orchestrator for Multi-Agent Research Workflows