For an internal design firm client of mine, I implemented some Blog Writing automation that uses their Slack for internal knowledge, giving the blog post some uniqueness that just AI won't get you. We're now drafting new blog posts every day, which we will be able to use for SEO and as a source for social media sharing, letting us bring in more viewers and ultimately more clients. Built in Make.com

Built an n8n workflow for video shorts. Takes a prompt, as small as just a couple words, generates a script, images, animates the images (I want to improve this part), generates audio from the script, generates a transcript of that audio, converts that transcript into text for the video and puts it on the video. Going to be able to reuse this for a couple clients and hopefully use it to sell a couple more clients.

Later, I went on to add multiple tools, toggling some off and even talking about embedding into a website.

When I started my AI and Automation journey, I felt like I had no idea how to get going. How do I find good potential clients? How do I educate those prospects about the value of AI and Automation? How do I build a relationship with those prospects so they will want my services? How do I get them onto a call so I can hear their actual challenges? How do I pitch them on a solution and get them to buy? What do I include in my contract so I protect myself and reassure them? And once I made the sale, how do I even deliver on my promises? I've been helping businesses with AI and Automation since 2023 (previously focused only on Software Development for 15 years) and the whole expectations of what this role does has changed completely. AI went from regression and categorization algorithms that needed training to LLMs that don't need training. LLMs went from okay to great. Automation tools all use AI now. You don't absolutely need a copywriter anymore (but a good copywriter is worth their weight in gold). But the fundamentals have stayed the same: 1. Learn about the client's challenges 2. Provide value demonstrating your knowledge and ability to help them 3. Meet the client where they're at in what they are willing to do, guiding them in what's possible and their options 4. Deliver workshops and implement automation and tools that match their goals. It sounds simple, but doing it consistently over and over, honing your skills and ability to market, sell and deliver takes time. And many businesses NEED AI and Automation experts to help them out. Unfortunately though, too few are equipped to help these real businesses solve their problems. Too many faking it until they make it. Maybe they have been burned by an upworker and don't feel like they can trust AI and Automation specialists. And so these businesses are either deciding they don't want the help or can't afford the help. The skilled AI and Automation experts I know are too busy to offer cheaper prices. Supply and Demand results in their prices continuing to go up, with many charging $2k or more for a workshop or $4k+ for AI and Automation monthly consulting retainers.

I was trying to use the AI in Google Docs to work on some Project Briefs. But, from using AI while coding, I knew I could be more productive if I just modified local markdown files. I can see real diffs. I can make more sweeping changes using opencode or codex or claude code. I can create and use templates, refer to other files easily, even use MCP to tie in other data or actions. But, I need to send people documents, and they kinda expect it to be a Google Doc. So, I keep a couple git repos of markdown files and use AI to modify them, do frequent commits to git and then when I want to publish, I just send the file contents to this n8n webhook and it converts it into a Google Doc. I know that Google Doc has a way to import markdown files, but this lets me do the whole process right from my computer. What should happen after this point? Automatic emailing of the file to the client with some context?