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How to Build a Faster Content Workflow for Your WordPress Site

Building a faster content workflow starts with knowing which steps slow a WordPress team down, rather than adding more tools on top of a process that's already unclear. Blog posts and pages often pass through several hands before they go live, from the first outline to the final proofread, and every handoff is a chance for something to stall.

Spreadsheet-Based Sales Commissions Are Reaching Their Limit as SaaS Plans Grow More Complex

Sales compensation is one of the last calculations many companies still run by hand, and that gap is becoming harder to ignore as commission plans grow more complicated. The tools built to replace spreadsheets - sales commission software, also known as incentive compensation management (ICM) platforms - don't just move the math into an app. They change how the underlying data is sourced, stored, and verified.

The 5 Levels of Running Coding Agents

If you're trying to run more than a few AI coding agents at once, the real problem shifts from prompting to managing where they live and what they can reach. This video walks through the five levels of agent management, from the IDE all the way to a fleet running in the cloud with access to your own services.

Build incident response workflows with Datadog Bits Chat

See how Bits Chat turns a natural-language request into an automated incident response workflow. In this demo, Bits Chat builds a workflow that investigates a monitor alert, identifies whether a recent deployment caused the issue, rolls it back when appropriate, and sends a summary to Slack.

OnPage Mobile App User Guide

How to Use the OnPage Mobile App Get more out of the OnPage mobile app with this step-by-step walkthrough. In this video, we take an in-depth look at the app’s key features and show you how to use them, from managing alerts and responding to incidents to staying connected wherever you are. Whether you’re new to OnPage or looking for a quick refresher, this guide makes it easy to get started.

Microsoft Took 8 Months to Fix This Copilot Vulnerability

Microsoft finally patched a critical Copilot vulnerability nearly eight months after researchers first disclosed it — and the way the attack worked raises some unsettling questions about AI memory. The vulnerability chained together multiple flaws that could allow a malicious prompt hidden inside a webpage to be pulled into Copilot simply by asking it to summarize the page. From there, the attack could potentially access connected data from services like Gmail, Google Drive, and Google Calendar and exfiltrate that information using Copilot’s own capabilities. But the most concerning part may have been persistence.

Agent vs Agentless Monitoring and How to Decide What Goes Where

Why does half the infrastructure end up returning no monitoring data? The standard plan is to install collection software on everything, which moves quickly across servers and stops dead at the first device running closed firmware. Storage arrays, firewalls, and switches will never accept an install, and the rollout stalls there. That plan usually gets set once for the whole environment, with a single collection model applied to hardware it was never suited for.

AI cost calculator: estimate your total spend

An AI cost calculator for the whole wallet adds four lanes: seats and subscriptions, API and token usage, cloud AI services, and GPU infrastructure. Average 2026 totals run $25 per employee per month at light adoption, $100 to $150 at active adoption, and $300 or more at AI-heavy companies. Getting to your number takes four lane subtotals and three corrections.

Prompts, skills, and the AGENTS.md nobody wants to write (and how Anthropic writes theirs)

You’ve watched Claude Code compact a conversation. The context bar fills, it pauses, a summary appears, and it carries on like nothing happened. You probably assumed a housekeeping script trimmed the transcript in the background. It didn’t. The model compacted itself. When the window fills, Claude Code sends a long, specific prompt telling the model how to summarize its own conversation. Then it does, same model, same turn. The thing managing your context window is just another instruction.