Zapier vs. Make vs. n8n: the honest answer

Everyone asks which automation tool to use. Most comparisons dodge the real answer because they're trying to rank for all three keywords. Here's the straight version: Zapier is the easiest but the most expensive for anything real. Make is the middle ground. n8n is the most powerful and the cheapest, but it requires actual technical ability to run in production. Pick based on who you are, not which feature list sounds best.

You are…Use this
Non-technical, need quick setupZapier
Growing team, want power without dev overheadMake
Technical, building AI workflows at scalen8n

5 Claude workflows developers actually use daily

Most people use Claude like a fancy search box. The people actually saving hours are using it as a structured system. Here are workflows that hold up in real projects, not demos.

1. CLAUDE.md as permanent project memory

Create a CLAUDE.md file in your project root. Put your architecture, commands, and naming conventions in it. Claude reads it automatically at the start of every session, so you stop re-explaining your project every time.

2. Plan Mode before writing any code

Before asking Claude to write anything, ask it to plan first: explore, plan, code, commit. Skipping this step causes more refactoring than almost anything else in AI-assisted development.

3. Sub-agents for separate concerns

Don't use one Claude session for everything. Use separate sessions for debugging, architecture, and writing. Context pollution from mixing these slows everything down.

4. /rewind for safe experimentation

Use /rewind to roll back both conversation history and code state to a checkpoint. Experiment without fear—one command brings you back to the last stable state.

5. Custom slash commands for repeated tasks

Create Markdown files in .claude/commands/ for your most repeated prompts. One slash and it runs, so you stop rewriting the same instructions from scratch every session.

4 ways people are actually making money with AI right now

Skip the “become a prompt engineer” advice. These are income models working for real people at different skill levels, with realistic ranges rather than vague hype numbers.

1. AI chatbot setup for small businesses

Typical range: a few hundred to a couple thousand dollars per client. Local businesses, restaurants, clinics, and service companies need chatbots for lead capture and booking. Most will pay once for setup. Tools: Voiceflow, Manychat, or a simple n8n flow. No heavy coding needed.

2. Voice licensing on platforms like ElevenLabs

Typical range: passive, paid per use. Train a voice-cloning platform on your own voice; each time someone licenses it for a video, ad, or audiobook, you earn a cut from one recording session.

3. Micro SaaS for niche problems

Typical range: highly variable, from a few hundred dollars a month to much more at real scale. Pick one specific problem in an industry you know, build a focused AI tool that solves just that, and launch on AppSumo or Product Hunt for initial traction. Most profitable AI SaaS businesses take months to reach breakeven, not days.

4. AI automation agency for small and mid-size businesses

Typical range: a monthly retainer per client. Small and mid-size companies want AI automation but don't know how to set it up. You build the workflow once using Make or n8n, charge for setup, then offer a monthly retainer for maintenance. Sell results, not hours—position it around hours saved per week.