Claude Code Hooks: auto-format, block dangerous commands, enforce tests — no reminders needed
CLAUDE.md is advice; hooks are law. Scripts run at fixed points in the agent loop, so the result is guaranteed.
AI Automation
n8n, agents, AI in everyday processes. · 13 articles
Running Claude Code headless (claude -p): agents in scripts, cron and CI
Not just a terminal chat — headless mode turns Claude Code into a CLI command you can drop into automated pipelines.
Claude Code GitHub Action: type @claude in a PR to review, fix bugs, answer questions
Anthropic's official action runs on your own runner: automated PR review, issue triage, docs sync, scheduled maintenance.
Self-host n8n in 10 minutes: the foundation for every AI automation workflow
Run n8n with Docker on a laptop or VPS, persist data, add HTTPS — and what to do before running it for real.
The n8n AI Agent node with Claude: model + memory + tools in one drag-and-drop block
Combine the Anthropic Chat Model, conversation memory and tools (HTTP, Google Sheets, databases) into an agent that runs inside a workflow.
An AI content pipeline with human approval: Claude drafts, you click “Approve” in Slack, then it posts
Automate 90% of content drafting for a page or blog and keep the most important 10% for humans: deciding whether it goes out.
Automation first, AI second: use LLMs only where judgment is needed
A common mistake: putting an LLM in every step. Good workflows use code/if-else for the certain parts and AI for the fuzzy parts.
Build an internal AI assistant that answers company process questions (Slack/Telegram + RAG)
“How do I request leave?”, “What's the prod deploy process?” — a bot that answers from internal docs, cites sources, doesn't make things up.
ESP32 + MQTT + Home Assistant: DIY smart home, then let AI control it by voice
A few-dollar microcontroller reads sensors, publishes over MQTT, Home Assistant automates — plus an AI assistant you talk to in plain language.
AI triage for email and tickets: route to the right person in seconds
The most common AI automation pattern: read → classify → extract → route, with a confidence threshold so humans handle the hard cases.
An automated AI morning digest: gather RSS, GitHub, Jira and summarize into one message
Instead of opening 10 tabs every morning, let a workflow collect sources, dedupe, rank and send a summary to Slack/Telegram/email.
What should you automate first? An AI automation prioritization formula for PMs
Not everything AI can do is worth automating. Score by frequency, time, cost of errors and data readiness.
State-driven animated avatars: a better waiting experience for AI chatbots
Swap the boring loading spinner for a character that changes motion with the agent’s Idle, Working and Sleeping states.
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