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.

Claude Opus 4.8 added dynamic workflows to Claude Code, and they look a lot like skills, subagents, agent teams, and the /goal feature, so it's easy to get confused about when you'd actually reach for one. In this video I break down what dynamic workflows really are, how they stack up against everything else on the complexity ladder, why one prompt burned through half my $200 monthly plan, and the simple question I ask before deciding if a job is even worth a workflow. I also cover the hidden stuff like ultracode mode and /deep-research so you don't accidentally torch your session limit.

Been building Claude skills lately and wanted to share something that might help creators here. A lot of YouTubers I've spoken to have the same problem: they spend hours making a video, it gets 48 hours of reach, and then it disappears — because writing separate posts for every platform after filming feels like starting over. Here's a simple Claude workflow that fixes this: Step 1 — After uploading your video, go to YouTube and click "Show transcript" under the '...' menu. Copy the full transcript. Step 2 — Paste this prompt into Claude: --- "Here is a YouTube transcript. Extract the 3 most valuable insights. Then write me: - A Threads post (casual, ends with a question) - An Instagram caption (punchy + 3 hashtags) - A Facebook post (story-driven, emotional hook) - A LinkedIn post (hook + insight + takeaway) - A newsletter (personal storytelling, one CTA) Each one must sound native to that platform. Do not copy sentences from the transcript." --- Step 3 — Review and post. The key instruction is "native to that platform" — without that, Claude just reformats. With it, each post actually sounds like it belongs there. Took me a while to figure out the right instructions. Sharing here in case it saves someone time. Happy to answer questions if anyone tries it. 👇

Just dropped a new course in the classroom and I'm pretty pumped about this one. It's the full step-by-step on building your own AI OS. Same exact setup I use every day to run the YouTube channel, the community, and my team. 8 lessons, all my templates and prompts, plus a free GitHub repo so you can skip the boring setup and just start building. To unlock it in the classroom, you just need to hit level 3 in the community. Honestly pretty easy: - Drop an intro post if you haven't yet - Engage with a few other members in the threads - Help somebody out who's stuck on something That's pretty much it. Get to level 3 and the whole thing opens up. See you in there. - Nate

Prompt caching is the reason Claude Code can save you 300M+ tokens a week without you doing anything. In this video I break down the 80/20: what caching actually costs, the small habits that protect your session limits, and the few things that quietly reset the cache. The free token dashboard and session handoff skill are in my school community. TOKEN DASHBOARD REPO