Papers, benchmark reports, practitioner guides, and historical analyses on agentic AI, scheduling, and enterprise automation.
Architectural patterns for trustworthy agentic AI deployment in enterprise scheduling. Introduces the Reversible/Irreversible Action Taxonomy and the HITL commit-point gate.
Real production data from 2,963 users across 128 organizations. Request distribution, blocker analysis, cost efficiency, and global deployment metrics.
A decision framework for matching agentic AI architectures to enterprise workflows. Seven patterns from basic tool agents to dynamic spawners, with complexity and governance guidance.
A 60-year history from IBM's 16-word Shoebox to modern agentic AI. The five eras, the intelligence-agency gap, and the three technical developments that finally closed it in 2025.
Monthly newsletter — AI insights, scheduling research, and practitioner frameworks. No spam.