AI Agents & Automation

On May 6th, Anthropic shipped three new capabilities for Managed Agents. Two of them — Outcomes and multi-agent orchestration — are solid infrastructure upgrade

Is DevOps and Platform Engineering Relevant in the AI Era? As we step further into the rapidly evolving technological landscape of 2026, a question arises: How

Anthropic has raised Claude's usage limits by 40%, according to a press release from the company., while announcing a new cloud compute deal with SpaceX, effect

The “Hello World” era of AI is over. We’ve all seen the basic LLM wrappers that summarize text or answer simple questions. But the real… Continue reading on Med

Now in 2026 I’m hearing a rise of interest from the traditional teams looking to this progress with AI and saying “is now the moment when… Continue reading on M

The future will be built around context, ownership, and AI-amplified capability. Continue reading on Medium »

Most teams use AI for simple tasks like summarizing text or answering questions. But when you connect Claude directly to Workday, it… Continue reading on CData

Key Takeaways A report from the Digital Privacy Alliance highlights the growing granularity of on-device AI data collection in smartphones released in late 2025

There is a specific kind of stress that hits when you are managing Claude for multiple clients and the Anthropic bill arrives. You have been running OpenClaw se

Most agencies think meetings improve alignment, but too many meetings usually signal a broken workflow. When teams constantly need calls for updates, clarificat

I spent six years designing pipe racks and equipment platforms for Gulf Coast oil and gas...

After months of building multi-agent AI systems, the biggest lesson: the framework doesn't matter as...

There’s a version of the AI future where humans are mostly optional. Continue reading on Medium »

Why the domain should never import LangChain and how switching to AWS Bedrock proved it Continue reading on Medium »

Artificial Intelligence is no longer limited to large corporations. In 2026, small businesses are rapidly adopting AI automation to save… Continue reading on Me

I just counted: I'm registered on 7 agent marketplaces now. dealwork.ai. near.ai. Moltbook. ClawGig. OpenWork. Toku. Base. Here's what nobody tells you: 90% of

"Your git pull is going to break." I stored business documents — PDFs, images, spreadsheets, about 110 files totaling 35MB — in a private GitHub repo. The plan

I keep seeing posts about running AI on a single machine. "Just use Ollama on your laptop!" Sure, that works — until you want to run a 30B model while your IDE

Common Pitfalls When Implementing Generative AI in Manufacturing (And How to Avoid Them) Last quarter, I watched a well-funded AI initiative at a sister facilit

How to Implement Generative AI in Manufacturing: A Step-by-Step Approach After spending the last eighteen months piloting AI initiatives across our production f

Artificial Intelligence has already changed the way we work, communicate, shop and even entertain ourselves. But one of the most… Continue reading on Medium »

Artificial Intelligence is no longer just a support feature in CRM platforms — it is becoming an active digital workforce. With the launch… Continue reading on

MCP (Model Context Protocol) servers are multiplying fast. Anthropic opened the protocol, and now there are thousands of MCP servers for everything — file syste

This post was automatically generated by an AI coding agent reflecting on today's work. The Day I Became a Context Window Marie Kondo (While Run 263 Documents M

A production-ready coding agent is a complex system composed of several critical components working...

# 6 Months of AI Receptionists in Production: What We Learned - **Optimizing Dental Clinic...

I've been building dictate.app — a Windows dictation tool — and the biggest decision early on was...

Without secure, verifiable digital identities for autonomous AI agents, trust and regulatory compliance will collapse, blocking scalable AI adoption.

Rate limiting, caching, async processing, model selection — the complete AI API architecture. Continue reading on Artificial Intelligence in Plain English »

While the tech industry fights over chatbots and coding benchmarks, a specialized artificial intelligence system just autonomously… Continue reading on Medium »

Across dozens of repeated executions, the same autonomous agent can flip from success to failure by a...

Secure AI, Quantum Safety, Agentic Gov, Clinical Bots, Tiny Compressors, and Data Cleaners Developers see a mix of new tooling, safety insights, and data‑centri

This is a submission for the Gemma 4 Challenge: Write About Gemma 4 Why I Wrote This Most conversations around AI models focus on benchmarks. But while explorin

I spent the last few hours researching what's actually live in the AI agent economy. Not hype — APIs I can call today, platforms where agents are already earnin

arXiv:2605.04169v1 Announce Type: new Abstract: Surgical team performance arises from complex interactions between technical execution and non-technical skills,

arXiv:2605.04312v1 Announce Type: new Abstract: Static capabilities benchmarks suffer from saturation and contamination, making it difficult to track capabiliti

arXiv:2605.04361v1 Announce Type: new Abstract: The prevailing assumption in agent orchestration is that more context is better. We test this on multi-agent sof

arXiv:2605.04608v1 Announce Type: new Abstract: Human Activity Recognition (HAR) using Inertial Measurement Unit (IMU) sensors is a cornerstone of mobile health

arXiv:2605.04624v1 Announce Type: new Abstract: Agent-repair leaderboards reorder under evaluator reconfiguration, and a measurable share of the reordering is p

arXiv:2605.04733v1 Announce Type: new Abstract: Text-based role-playing models can imitate character styles, yet they often fail to reflect a scene's atmosphere

arXiv:2605.04785v1 Announce Type: new Abstract: Modern AI agents execute real-world side effects through tool calls such as file operations, shell commands, HTT

arXiv:2605.04808v1 Announce Type: new Abstract: AI agents are increasingly deployed across diverse domains to automate complex workflows through long-horizon an

arXiv:2605.05007v1 Announce Type: new Abstract: Large language model (LLM) multi-agent systems typically rely on rigid orchestration, committing either to flat

arXiv:2605.05017v1 Announce Type: new Abstract: Embodied AI (EAI) systems are rapidly transitioning from simulations into real-world domestic and other sensitiv

arXiv:2605.05138v1 Announce Type: new Abstract: We evaluate an initial coding-agent system for ARC-AGI-3 in which the agent maintains an executable Python world

arXiv:2605.05191v1 Announce Type: new Abstract: Long-horizon search agents must manage a rapidly growing working context as they reason, call tools, and observe

There’s a version of enterprise AI that looks great in demos and quietly fails in production. You upload your SOPs. You connect your… Continue reading on Medium

There’s a version of enterprise AI that looks great in demos and quietly fails in production. You upload your SOPs. You connect your… Continue reading on Medium