Today, I learned Skill Anatomy and Progressive Context Loading in Claude Code. I explored how skills are structured with skill.md, reference files, and scripts, and understood the 3-level context loading system. I also applied the 6-Step Skill Building Framework and created a LinkedIn post on AI Automations vs AI Agents. I successfully completed the Day 3 challenge. While creating the infographic, I reached the usage limit and will share the final version with the brand logo tomorrow

But it also has an expiration date. Right now, sticking "AI" in front of "consultant" is a real edge. The search demand is there. The budgets are there. Companies are actively hunting for someone who can walk in, look at their operations, and tell them what to actually do with this stuff. So if you're trying to position yourself, take the label. It works. But the label is the temporary part and we've seen this cycle before. → When Excel showed up, people might've called themselves "Excel accountants." But how ridiculous would it be if someone introduced themselves like that today? → When the internet showed up, people spun up "internet marketing" agencies. Now that's just marketing. AI is doing the same thing to consulting because AI is going to seep into everything. In a few years, the qualifier drops. The consultants who aren't AI native won't be winning business. They'll just be bad consultants. The job under the hood doesn't change. A consultant walks into a business, finds the actual constraint, and prescribes a solution. The newest tech is the toolbox, not the job description. But people take the "AI consultant" title and assume the answer always has to be AI. Sometimes the right call is a database restructure. Sometimes it's a better SaaS tool. Sometimes it's a deterministic workflow with zero AI in it. I'm not saying AI is never the answer. It's the highest-impact tool we've had in a long time. But forcing it where it doesn't belong is how clients lose trust fast. I think about it as a pyramid. → Bottom: deterministic workflows. No AI. Cheap, fast, reliable. → Middle: AI workflows. More power, more cost, more failure modes. → Top: AI agents. Maximum capability, maximum risk, longest time to ship. The higher you climb, the more it costs, the longer it takes, and the more ways it breaks. More risk. Start at the bottom. Only move up when the problem actually demands it. The label "AI consultant" gets you in the door right now. The discipline of solving the real problem with the simplest possible solution is what keeps you there once everyone else catches up.