How I cut weekly research from 4 hours to 1
I wrote the steps down first, then let Claude, n8n and Make do the reading. Weekly research fell from four hours to one. What worked and what broke.
I wrote the steps down first, then let Claude, n8n and Make do the reading. Weekly research fell from four hours to one. What worked and what broke.
Google and Meta now automate targeting, copy and budgets by default. A monthly audit of what's switched on, what you feed it, and proof it works.
Write the steps down, then automate them in n8n or Make. The same weekly brief, side by side in both tools, with the checks that keep it honest.
Test an AI agent in layers: rule-based tool-call checks, step scoring, a dataset from real work, a calibrated LLM judge, and expert review on the high-stakes cases. Five steps and a rubric.
Most AI agent pilots stall before production: no owned metric, no workflow redesign, no kill criterion. McKinsey shows 62% experimenting but 23% scaling. Here are five questions to ask first.
Set up a support-triage agent the safe way: one narrow ticket category, grounded in your help content, an honest meaning of 'resolved,' and a human review gate on every action. Six steps.
Agentic AI plans and carries out multi-step tasks on its own. It decides what to do, uses tools, and keeps going until the goal is met. A clear guide to what really ships as an agent in 2026.
AI made cold email easier to write and harder to land. Inbox providers now run AI filters that catch templated outreach. What works uses AI for research and timing, not volume.
Seven AI agents to test: Manus, Devin, Operator, GPT Agent Mode, Gemini Workspace, Replit and Claude Computer Use. A shortlist by use case, not test results.
The Model Context Protocol went from a quiet Anthropic release to industry-standard plumbing in under two years. Here's what it is, why every major lab adopted it, and where the hype got ahead of the facts.