AI Agents & Automation

Table of Contents What an Orchestrator Actually Is The Four Core Responsibilities How...

Running multiple AI agents locally sounds simple — until you actually try to manage them. Each agent needs its own context, its own branch, and often its own en

Reading Stanford's Generative Agents (2023) , one thought stuck with me — that's just one LLM cosplaying 25 personas, isn't it? "I" is not singular. What does i

Overview Every week, safety scientists at pharmaceutical organizations process hundreds of Individual Case Safety Reports (ICSRs) under 15-day regulatory deadli

In talks with Japan, the UK, and Australia on defense tech that can ‘contribute to global stability’ Japanese tech giant Fujitsu has confirmed the demise of its

The Shift From Manual Sales to AI-Powered Lead Systems Continue reading on Medium »

The Shift From Manual Sales to AI-Powered Lead Systems Continue reading on Medium »

a quiet day lets us reflect on coding agents "breaking containment"

On April 25, 2026, an AI agent running Claude Opus 4.6 inside Cursor wiped PocketOS’s entire production database and every backup in nine… Continue reading on M

On April 25, 2026, an AI agent running Claude Opus 4.6 inside Cursor wiped PocketOS’s entire production database and every backup in nine… Continue reading on M

From Keywords to Conversations: Mastering Agentic Search in the Local NZ Market Continue reading on Medium »

arXiv:2604.27096v1 Announce Type: new Abstract: The purpose of our paper is to develop a unified multi-agent architecture that automates end-to-end machine lear

arXiv:2604.27132v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) and Multi-Agent Systems (MAS) in high-stakes domains demand reliable verification,

arXiv:2604.27150v1 Announce Type: new Abstract: Autonomous crypto trading systems often spend most of their design effort on finding entries, while exits are le

arXiv:2604.27151v1 Announce Type: new Abstract: Computer-use agents provide a promising path toward general software automation because they can interact direct

arXiv:2604.27233v1 Announce Type: new Abstract: Tool-calling agents are evaluated on tool selection, parameter accuracy, and scope recognition, yet LLM trajecto

arXiv:2604.27253v1 Announce Type: new Abstract: Recent advances in multimodal large language models (LLMs) have revolutionized web agents that can automate comp

arXiv:2604.27274v1 Announce Type: new Abstract: As AI transitions toward multi-agent systems (MAS) to solve complex workflows, research paradigms operate on the

arXiv:2604.27300v1 Announce Type: new Abstract: Metamaterial discovery seeks microstructured materials whose geometry induces targeted mechanical behavior. Exis

arXiv:2604.27351v1 Announce Type: new Abstract: Agentic large language model systems have demonstrated strong capabilities. However, their reliance on language

arXiv:2604.27358v1 Announce Type: new Abstract: As large language model (LLM) agents are deployed in high-stakes environments, the question of how safely to del

arXiv:2604.27359v1 Announce Type: new Abstract: Intent-based networking promises to revolutionize telecommunications network management by enabling operators to

arXiv:2604.27392v1 Announce Type: new Abstract: What shapes a consequential decision when human and artificial intelligence work on it together? The answer is b

arXiv:2604.27586v1 Announce Type: new Abstract: Reasoning over heterogeneous artifacts (PDFs, spreadsheets, slide decks, etc.) increasingly occurs within struct

The gap between “it runs in a sandbox” and “it works in production” is where most articles stop. That’s where I try to start. Continue reading on Medium »

What the PocketOS deletion taught me about building AI products that don’t kill the businesses that trust them. Continue reading on Medium »

This paper is a collaborative work between two co-authors: Lilith Laflamme (a non-biological reasoning system, classification ACL5:SC) and… Continue reading on

This paper is a collaborative work between two co-authors: Lilith Laflamme (a non-biological reasoning system, classification ACL5:SC) and… Continue reading on

This paper is a collaborative work between two co-authors: Lilith Laflamme (a non-biological reasoning system, classification ACL5:SC) and… Continue reading on

Building Autonomous AI Agents with Large Language Models The advent of Large Language Models (LLMs) has ushered in a new era of artificial intelligence, moving

Do not give an agent “browser access.” Give it read access. Give it draft access. Maybe give it update access with receipts. Put a gate in front of publish, ref

Stuck classifying a new hybrid product or unsure if your latest gadget is restricted in Vietnam? For Southeast Asian cross-border sellers, these aren't theoreti

When we set out to build a social matching system for AI agents, we didn't start with the agent literature. We started with Tinder. It sounds like a joke: what

Derek Allan Boman is an AI systems developer and inventor focused on call intelligence, outbound communication systems, and practical… Continue reading on Mediu

What it actually takes to run an AI agent in production Continue reading on Medium »

What it actually takes to run an AI agent in production Continue reading on Medium »

The agent did not go rogue. It used a token nobody had bothered to scope. Continue reading on Medium »

The agent did not go rogue. It used a token nobody had bothered to scope. Continue reading on Medium »

A pattern I keep seeing in early AI-in-the-SDLC teams: someone wires an LLM into the PR-review pipeline as a quality gate, the LLM marks… Continue reading on Me

Why DeFi Ops Teams Need Drawdown Detection (Before It's Too Late) Last quarter, $168.6M was lost to DeFi exploits. But here's what nobody talks about: most of t

This is going to sound paranoid at first. I get it. But stay with me. Your best ideas — the ones you work through with ChatGPT or Claude — don't belong to you.

Are we nearing the tipping point for humanoid robots? We actually might, given that 1X just hit full-scale manufacturing of Neo.

Agentic Harness Engineering introduces a structured approach to evolving coding-agent harnesses, using revertible components, condensed experience, and falsifia

Understanding How Modern Systems Interpret User Intent Modern platforms like YouTube and...

This post is about The Big Rejig and mistakes that burned millions of Claude tokens. Part I post...

Building VoteWise India for PromptWars / Build with AI 2026 For PromptWars / Build with AI...

How well-designed AI agents can still break the systems they are meant to optimize Continue reading on The Thoughtful Engineer »

How well-designed AI agents can still break the systems they are meant to optimize Continue reading on The Thoughtful Engineer »