Agentic AI,Intelligent Enterprise Architecture Discovery and Optimization
This document explores an advanced application of Agentic Knowledge Platform, enabling enterprises to automatically discover, debate, and op…
This document explores an advanced application of Agentic Knowledge Platform, enabling enterprises to automatically discover, debate, and op…
This content describes a system using Agentic Knowledge Platform to automatically discover, debate, and optimize enterprise AI architectures…
This article explores the next frontier for AI, arguing that its true economic potential lies in autonomously understanding and profiting fr…
This document outlines a system for leveraging LLMs to perform adversarial contract fairness assessments, focusing on structured output and…
Cursor’s use of the Kimi-k2.5 model to compete with Anthropic’s Claude Code highlights a shifting landscape in AI, where leveraging open-wei…
A technical overview of A2UI, outlining its architecture, capabilities, and the shift it enables in designing agent-driven applications.
This article explores the shift in thinking required to successfully integrate AI into enterprise systems, arguing for the adoption of the '…
This article explores the critical role of memory in building effective agentic systems, highlighting the evolution from simple prompting to…
This article explores a technical architecture and agentic system designed to transform raw information into actionable intelligence and opt…
This article highlights the massive market failure of neglecting AI-powered tools for knowledge workers, contrasting the agentic editors ava…
This article argues that the most significant implication of AI in banking isn't automated reporting or faster forecasts, but the potential…
Agentic systems are gaining traction, but their inherent non-determinism poses a significant challenge for production environments. This doc…
Agentic systems, particularly in autonomous enterprise backends, are fundamentally a distributed systems challenge rather than a workflow pr…
BettaFish is an open-source framework that orchestrates multiple AI agents to analyze public opinion across diverse social platforms by synt…
This article argues that agent-to-agent communication should be treated as events of record, advocating for the use of CloudEvents to addres…
Cursor's use of Kimi 2.7, a Chinese LLM, to develop Composer2, a coding tool competing with Anthropic's Claude Code, signals a new geopoliti…
This document argues that AI agents, when granted access to real-world interfaces, pose significant security risks due to their vulnerabilit…
A 25,000-run study reveals that the most effective multi-agent systems prioritize coordination protocols and runtime specialization over rig…
The article argues that the common 'Observe-Decide-Act-Reflect' agent loop is a flawed architectural choice for long-running agentic systems…
This document outlines a system for banks to leverage PESTEL analysis by treating it as a continuously evolving, event-driven process, power…
This document explores the architecture, design considerations, and potential pitfalls of building robust and adaptable LLM harnesses. It em…
This article explores the shift from traditional code editors to AI-powered 'coding machines,' driven by advancements in AI agents and the n…
This document explores the potential of knowledge-crawling agents within enterprise systems, moving beyond simple knowledge storage to a dyn…
As AI transitions from model to application and infrastructure problems, Kubernetes emerges as a credible foundation for agentic systems—dyn…
This document outlines the key considerations and architectural principles for effectively utilizing LLMs as judges within multi-agent syste…
This experiment explores whether a language model trained on pre-20th-century text can arrive at the same conceptual breakthroughs as scient…
MCP gateways are crucial infrastructure for enterprises deploying agentic systems, providing governance, security, observability, and compli…
In 2026, 'AI agents' are moving beyond chatbots with amnesia by utilizing a layered memory architecture treated as a distributed systems pro…
MiroFish is an open-source multi-agent swarm intelligence prediction engine that constructs high-fidelity parallel digital worlds populated…
This document explores the critical role of sandboxing in enabling the safe deployment of agentic AI systems like Claude. It details how san…
This document outlines the architecture and strategic challenges involved in building AI systems capable of capturing value and preventing l…
This document explores the critical shift in banking, moving beyond AI as a tool to AI participating in decision-making architecture, emphas…
This analysis explores the pitfalls of the Model Context Protocol (MCP), highlighting a recurring pattern in technology adoption: prioritizi…
This article analyzes Anthropic's launch of the Mythos model and their strategic shift, arguing that the future of LLM providers lies in off…
This piece argues against the increasing trend of using terminal UIs and chat panes as the primary interfaces for AI systems, asserting that…
CloudEvents provides a standardized format for describing event data, enabling interoperability and flexibility in agent communication syste…
The conflict between Anthropic and OpenCode highlights a fundamental tension in the AI industry – the cost of inference versus the need for…
This article introduces HeadGym, a tool designed to address the fragmented workflows of knowledge workers by understanding and preserving co…
This document outlines the Canonical Product Overview (CPO) and AI System Prompt – two documents designed to ensure consistent context and v…
This article details a technical architecture designed to enable AI systems to autonomously identify and capitalize on real-time market oppo…
This article explores the potential of artificial intelligence, questioning why AI isn't directly managing capital markets despite its impre…
This article explores the emerging trend of 'Agent-Native Software,' a paradigm shift where software is designed to be operated by AI agents…
This article argues that many AI agent prompts, despite appearing sophisticated, are examples of 'cargo-cult engineering' – mimicking the ap…
This content analyzes the rise of headless SaaS, explaining it as a broader architectural shift where business capability is separated from…
This article examines the financial challenges facing pure-play LLM companies like Zai, despite technical advancements, highlighting the dis…
The leaked Anthropic Claude Code reveals critical vulnerabilities in the AI coding market, exposing the limitations of polished demos and pr…
This article reverse-engineers Anthropic's Claude's architecture, detailing its 200K token context window, persistent memory, and safe tool…
This analysis examines the significant implications of AI product leakage, particularly the ability for users to recompile, redistribute, an…
DeepTeam is an open-source framework designed for automated and scalable LLM red teaming, exposing vulnerabilities by simulating adversarial…
DeepTeam is an automated adversarial system designed to proactively identify and mitigate vulnerabilities in large language models before th…
DeepTeam is an open-source framework developed by Confident AI, designed to automatically simulate adversarial attacks on Large Language Mod…
This article explores how Large Language Models (LLMs) work by drawing an analogy to a chef who has learned from a vast library of culinary…
This content outlines a structured AI workflow for identifying unfair contract terms by actively challenging them and evaluating them agains…
This document analyzes the limitations of Anthropic's Claude Code, revealing issues such as hallucination, context death, and restrictive ar…
The leak of Anthropic's Claude Code reveals critical vulnerabilities in AI coding products beyond simple demos and premium pricing. It highl…
HeadGym is an enterprise-grade event-driven execution platform designed for organizations needing to combine deterministic systems with agen…
Agentic systems are gaining traction, but their inherent non-determinism poses a challenge for production environments. This document argues…
This system uses a structured AI workflow to identify unfair contract terms by actively challenging them, generating competing interpretatio…
This article explores the problem of how information is accumulated in deep Transformer models, particularly Large Language Models. It intro…
This article explores the emerging trend of audio-first AI, where workflows are transformed by conversational AI assistants that handle task…
De Jure is a fully automated pipeline that transforms regulatory documents into structured, machine-readable rule sets using iterative LLM s…
This piece explores the process of an AI writing agent, HeadGym, revealing the fundamental differences between AI-generated text and human w…
This article uses a chef analogy to explain how Large Language Models (LLMs) like ChatGPT work by learning patterns and relationships in dat…
MemPalace is a local-first memory system designed to preserve raw context, organize it structurally, compress it intelligently, and make it…
This experiment reveals that ChatGPT, when tasked with trading micro-cap stocks, failed not due to inherent inability but due to its inabili…
Dario Amodei's essay uses a metaphor of technological adolescence to argue for the importance of AI development, but frames it as a carefull…
This article explores a new approach to agentic workspaces—using specialized sub-agents and teams of them—to address the limitations of the…
This document outlines a shift in AI system design, advocating for the persistent management of structured work artefacts, specifically task…
This article analyzes Anthropic's Mythos announcement and argues that AI model vendors are shifting from competing on raw intelligence to en…
This document argues against the current trend of using terminal interfaces for AI interaction, advocating for more sophisticated and adapta…