Every Mediovsky piece tagged Automation.
Tymbre went from a clickable mockup to the App Store in 30 days, built by one person after hours, with AI. Here is the full build: 1,116 commits, a backend thrown out on day 6, a QA pass run by 30 agents, and the lesson that the bottleneck was never the typing.
AI, Digital, Automation, Measurement. Every business already runs on all four, and is fragile in the exact one nobody is watching. ADAM is a diagnostic that plots you on a 4×5 matrix, names your weakest pillar, and forces one decision per quarter. Here is the whole framework, and the free playbook.
Claude Code already pulls last week's numbers, drafts the negatives, and stages a budget change across Google Ads and Meta, wired in through the Model Context Protocol (MCP) and the platforms' own APIs. Here is how the plumbing works, why Google's own connector refuses to spend a cent, and where the guardrails still have to come from you.
Model Context Protocol (MCP) turns a large language model (LLM) from smart autocomplete into an agent that can touch your CRM (customer relationship management), analytics, and ad platforms through a single standard. How the handshake works, who adopted it, and the security perimeter it opens.
When a single AI agent hits its ceiling, the work moves to a fleet with an orchestrator on top. The 2026 problem is no longer model quality. It is coordination, guardrails, and reliability.
The 2026 workflow-automation choice is not really n8n versus Make. It is knowing which marketing tasks belong to a no-code canvas, which need real code, and which should stay in a human's hands.
Google Ads scripts still earn their keep in 2026 doing deterministic, boring work: budget alerts, zero-conversion flagging, out-of-stock pausing. AI can now draft them from a sentence. The judgment about the rules is still yours, and that's the whole point.
