The Agentic AI editorial team covers ai. Articles are researched and drafted with the help of AI tools, and each one lists the sources it draws on so every claim can be checked.
35 articles
From Model Intelligence to Orchestration Reliability As the agentic AI landscape matures past the initial wave of model capability comparisons, a structural shi...
Why this matters now Two related developments in April–May 2026 are reshaping how enterprises should think about purchasing, validating, and operating frontier...
Context — why compute markets matter right now (2026-05-10) Enterprise AI procurement is no longer a simple calculus of model size versus GPU hours. Three marke...
Why FedRAMP 20x and USAi matter right now Federal AI procurement has entered a fast lane. Since the General Services Administration announced FedRAMP 20x in Mar...
Why 2026 feels like a tipping point for 4‑bit LLMs The past 18 months have moved quantization from academic curiosity to operational decision: algorithmic advan...
Why April 2026 pivoted on-device AI into operations April 2, 2026 was a turning point for on-device intelligence: Google published the Gemma 4 family under an A...
Federal pre‑deployment testing is changing engineering tradeoffs In early May 2026 the U.S. federal government moved from signaling to operational testing: agre...
Observability as product quality for agentic AI On 2026-05-06 the market for agentic AI — multi-step, tool-enabled systems that act on behalf of users — is matu...
Why this moment matters In April–May 2026 the AI stack tilted from purely research debate to operational urgency. Anthropic’s gated "Mythos" preview, withheld f...
As of 2026-05-04: why deployment location now matters Two converging forces—accelerating supply of frontier models and tightening EU regulatory timelines—are ch...
Why the past six weeks matter Two converging developments have accelerated the shift from experimental assistants to production agentic systems: OpenAI's April...