Block is pioneering a fundamental shift from traditional hierarchical management to AI-driven organizational intelligence, replacing human coordination layers with world models and intelligence systems. This approach …
This paper introduces Mimosa, an evolving multi-agent framework that automatically synthesizes and iteratively refines task-specific workflows for autonomous scientific research, achieving 43.1% success rate on …
Explores alternative approaches to semantic search beyond vector embeddings, demonstrating how hierarchical taxonomies combined with BM25 indexing can provide better matching and domain-specific categorization. Shows how …
A deep dive into securing AI agent fleets using just-in-time JWT tokens, role-based access control, and zero-credential architecture. The system includes a meta-workflow that analyzes logs and creates self-improvement …
Figma’s recent update allowing AI agents to write directly to design files signals a major industry shift where AI agents like Claude Code are becoming aggregators, forcing SaaS companies to choose between becoming …
This study analyzes the troubled implementations of Epic EHR systems in Denmark and Finland, revealing significant post-implementation challenges including poor usability, increased task completion times, and widespread …
Government technology projects have a 13% success rate due to systemic governance issues including outdated procurement processes, restrictive policies, and perverse incentive structures. Breaking this cycle requires …
This research introduces Natural-Language Agent Harnesses (NLAHs) and Intelligent Harness Runtime (IHR), enabling agent control logic to be expressed in editable natural language and executed under shared runtime …
Research reveals that while 92% of companies plan to increase AI investments, only 1% have reached AI maturity. The biggest barrier isn’t employee readiness—who are already using AI extensively—but leadership …
This paper introduces Agentic Variation Operators (AVO), which replace traditional evolutionary search operators with autonomous AI agents that can iteratively optimize code through self-directed exploration, achieving …
