Government technology projects have a 13% success rate due to systemic governance issues including outdated procurement processes, restrictive policies, and perverse incentive structures.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 …
JPMorgan Chase implemented an AI platform called COiN (Contract Intelligence) using NLP and machine learning to automate legal document analysis, saving over 360,000 hours annually and reducing compliance errors by 80%. …
Comprehensive research by the UK Department for Science, Innovation & Technology reveals that only 16% of UK businesses currently use AI, with natural language processing being the most common application. The study …
Anthropic shares the engineering challenges and lessons learned from building Claude’s Research feature, a multi-agent system that uses multiple AI agents working in parallel to explore complex topics more …
This research proposes using distributed systems theory as a principled framework for designing and evaluating LLM teams, demonstrating that coordination challenges like consistency conflicts, communication overhead, and …
A comprehensive guide to using Gemini 2.5 Flash Image (Nano Banana) for generating consistent imagery from archive photos, demonstrating how to build a prompt-based pipeline that preserves character features across …
DRAGON-AI is a novel method that employs Large Language Models and Retrieval Augmented Generation to automatically generate ontology components including relationships, definitions, and logical axioms. The system …
