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.

From $64K+ in closed deals to first paid projects, first workflows, and first technical builds - this week inside AIS+ showed what happens when builders stop consuming and start moving. Some wins were big money. Some were first steps. Both matter. 🚀 Standout Wins of the Week inside AIS+ 👉 @Jacob West closed two deals in one week — a $22.5K custom software build for a local gym and a $42K AI OS rollout for a mid-market energy business. 👉 @Luca Giovinazzo delivered his first full client project live — 11 n8n workflows, CRM, Telegram bot, inventory alerts, booking system, KPI tracking, user guide, and Loom walkthrough. 👉 @Fadwa Naboulssi landed her first client three weeks into the community — a candidate sourcing workflow on a $150-per-successful-hire commission. 👉 @George Maitland completed his first technical build using Claude Code + n8n MCP — a local content engine with Telegram as the command center. 👉 @James O Neill built a free portfolio site for a friend-of-a-friend’s side hustle… and she insisted on paying anyway. First real money landed. ⸻ 🎥 Super Win Spotlight | @Josh Holladay Josh joined AIS+ because he wanted more than scattered learning. He wanted momentum. Focused content. Better access. And a room full of people actually moving. Since joining, he has: - Closed real client work - Built stronger confidence around pricing and value - Used the portfolio course to get clear on where he was and what needed to happen next - Learned how to turn client conversations into real business opportunities - Found a place to celebrate wins with people who actually understand the journey

In this video I show you how I turned Claude Opus 4.8 into my full AI operating system that runs my businesses, holds all my context, and replaces the constant tab switching between apps. I walk through the Four C's I use to build it (context, connections, capabilities, cadence), the mindset shift of working out of Claude Code by default, how I organize files and skills, and the bike method for safely giving agents more autonomy. By the end you'll know exactly how to set up your own AI OS and the trap to avoid when you start handing it real keys. GITHUB REPO

That's the second-largest private funding round in history, behind only OpenAI. The new valuation puts Anthropic ahead of OpenAI as the most valuable AI company in the world, private or public. Quick transparency up front. I'm not a private equity guy. No insider info on Anthropic. Just trying to make sense of this out loud. Here's what I see happening. Most companies raise pre-seed, seed, then Series A through D. After that they either IPO, get acquired, or run out of road. Anthropic just hit Series H. That isn't necessarily an indication of good or bad. Stripe and SpaceX stayed private on purpose to avoid public-market scrutiny. Slack and Lyft reached Series H and IPO'd within a year. Every company takes a different path. What it does tell you: Anthropic chose to stay private through eight rounds. Bloomberg reported an IPO could come as soon as October of this year. Anthropic's annual revenue jumped from $1 billion in December 2024 to $47 billion this month. Widely cited as the fastest revenue ramp of any software company in history. They now run higher revenue than OpenAI, and the latest projections show them hitting profitability first. Not saying one is "winning" here. Both are still burning billions a year. But the underdog framing for Anthropic is getting harder to defend. What this news has me thinking about is why a company growing this fast still needs another $65 billion. The answer is compute. Dario (the CEO) said it himself a few weeks ago. They planned for 10x growth in 2026. They saw 80x. They literally cannot build datacenters fast enough. Earlier this month, Anthropic leased the entire Colossus 1 datacenter in Memphis from SpaceX. 300 megawatts, over 220,000 Nvidia GPUs, $1.25 billion a month. They didn't pick SpaceX over Amazon or Google. Colossus was the only compute available right now. The rest doesn't come online until 2027. This Series H also brought chip manufacturers Samsung, SK Hynix, and Micron on as investors. Those three make the high-bandwidth memory that sits on every Nvidia GPU. Getting them invested locks in supply at the most constrained part of the chip stack.