7 Set & Forget AI Automations for Marketers
Kilo launched seven AI automations for marketers that use Cloud Agents with Webhook Triggers to perform tasks like competitor mention tracking and campaign asset generation, replacing manual work with…
Kilo launched seven AI automations for marketers that use Cloud Agents with Webhook Triggers to perform tasks like competitor mention tracking and campaign asset generation, replacing manual work with…
Chronexa, a workflow automation company, has built over 50 production multi-agent workflows for fintech compliance, legal document processing, and AI sales development, learning that reliable deployme…
Despite widespread warnings that AI will eliminate white-collar jobs, the team at Every has found that automation creates more human work, not less. The company has automated coding, writing, and cust…
WorkOS launched Pipes, a new integration platform that connects AI agents to third-party tools like GitHub, Slack, Salesforce, and Google Drive. The service handles OAuth flows, token refresh, and cre…
Anthropic engineering lead Felix Rieseberg demonstrated how he uses Claude Cowork to solve real-world problems, including turning 2D floor plans into interactive 3D walkthroughs, automatically trackin…
The article describes the author's experience testing the AI voice-to-text app Wispr Flow, which accidentally transcribed a private argument with their husband into a work document. This occurred afte…
The article describes the author's experience testing Wispr Flow, a voice-to-text AI tool popular among coders, which accidentally transcribed a private argument with her husband into her work's conte…
This article compares five methods for automatically forwarding SMS messages from an Android phone to Telegram, including free APKs, Tasker, n8n, custom apps, and cloud-based services. Each approach f…
The article describes how notification systems in software projects often evolve from simple functions into complex systems requiring email, SMS, push notifications, and user preferences. The author a…
In 2026, two leading open-source AI agent frameworks, Hermes and OpenClaw, dominate GitHub, each embodying a distinct philosophy for personal AI assistants. Hermes focuses on a self-improving, closed-…
The article describes the author's experience with chaotic client feedback processes for WordPress sites, involving scattered messages across WhatsApp, email, and Slack. To solve this, the author crea…
The article explains that while teams often start with simple, one-off automations like scripts or tool connections to solve small problems, these solutions become unreliable as the business grows. It…
This article presents five n8n automation workflows designed to save WooCommerce store owners over 10 hours per week by eliminating repetitive administrative tasks. The first two detailed workflows in…
The article outlines a four-level framework for scaling AI agent usage, starting with a single Hermes Agent instance for prototyping and workflow refinement. It warns against prematurely adopting comp…
Here is a factual summary of the article: The article describes a Python-based tool that monitors Google News for brand mentions using the SearchApi.io API. Each morning, the tool fetches news articl…
Free n8n workflow that automates the creation of a daily business report. The workflow reads sales data from a Google Sheet, calculates key metrics like revenue and order count, and sends a formatted …
A practical implementation pattern for building a secure AI agent harness for a bank, moving beyond theoretical design principles. The system is structured with five layers—Engineer, FastAPI Agent Por…
The article distinguishes between two distinct security challenges for AI in banking: governing employee use of tools like ChatGPT for daily tasks, and architecting secure production AI agents that ca…
Open-source release of "QA Claude Skill," a collection of 24 production-grade QA skills for Claude Code covering test design, automation, performance, security, and mutation testing. The skills are de…
AI workflows often fail at scale not because the AI itself malfunctions, but due to "automation debt"—structural weaknesses in the underlying architecture that become catastrophic under higher volume.…