GPT 5.6 is out TOMORROW!

**Julian Goldie** (0:00)
Gpt 5.6, Sol along with Terra and Luna will launch on Thursday. Happy days. They're expanding preview access globally right now. OpenAI's next model is coming. Hopefully, it's on par or better than Fable 5
If not, no worries at all. But today, I'm going to show you how to prepare. This is a Gpt 5.6 prep machine. So Gpt 5.6 launches publicly this Thursday. It's the most capable model OpenAI has ever shipped, and it will supercharge any agent, operating system you have in. And here's exactly how to be ready on day one when it comes out. So if you're not familiar with this, basically, OpenAI have announced Gpt 5.6 with three models. Sol, the flagship, Terra, the lower cost, and Luna, the fastest and cheapest. Now, preview access is expanding globally. The public launch is Thursday. Most people will start figuring out on launch day. You're going to do something different. You're going to prep the machine this week. At the moment, Gpt 5.6 drops. It plugs straight into your automations and starts working, whilst everyone else is still reading the announcement. And the prep is really simple. I'm going to walk you through exactly how to get the most out of it and how to really prepare for this. And the thing that I would say here is that there's four moves to get the most out of Gpt 5.6.
So first thing you want to do is write down everything that you do day to day. For a few days or just today, log every task you touch because you can't automate work you can't see. Then from there, time audit it. So put a number on each task, how long, how often, and now you know exactly where your hours will go. From there, minimize the tokens. So before you point a price here, more powerful model, everything, cut the waste. Free models for the everyday stuff. And also you can use something like Headroom, Ponytail, or RTK, or even Caveman. And these are free open source projects. You can just give to Gpt 5.6 or Codex right now, and then you're ready the day it comes out. And then you're going to build an agentic operating system around the audit, around the stuff that you time, and figure out you need to automate. So for example, I actually have a to do list, or I used to have a to do list, and now I just plug it into this system, so that each day I can see what I've done, and I can go back to it, and I can just tick off the task. Super useful, and it just saves me clicking into another app or another tool, losing track or anything else. Now, also, every time I have a workflow that I'm like, right, why am I wasting time on this? Why am I going into my website doing keyword research? Or why am I going into HeyGen to do the avatar videos when I can just have it inside one system? That's what this is about. So you're going to write down everything you do, log every task, time audit it, so see how long and how often you do it. Minimize the tokens inside any GPT models you use because then you can use those tokens in the future, and you can get more out GPT 5.6. If you saw anything or if you learned anything from Fable 5, it is that you can rinse through the tokens and the credits very quickly indeed, my friend. So for example, we've been using Fable 5 today, and you can see here that we've gone through the weekly Fable allowance, and that resets on Saturday. And so we can't really use Fable 5 for free again until that limit. Now, if you use the token playbooks I talked about, you can save a lot of tokens and squeeze more out of the model before you hit the limits.
So what to do this week?
Today, start keeping a log. I would every day just track what you're doing, at least for one week, because every time you start to ask, write an email, researching a keyword, editing a video, whatever it is, answering a client, write one line, what it was and roughly how long. Don't judge it, just capture it, because by day three, you'll have a raw map of your actual week. And then from there, tag each line with times of frequency. So go down the list, mark minutes per task and how many times a week you do it, multiply it, the task at the top, big number, done often, are you gold? That's where an agent would pay for itself.
From there, sort the list into three buckets. A machine could do this today, a machine could help but needs me, only I can do this, right? And I would say, if you're really honest with yourself, most people are actually shocked how much lands in the machine could do this today. I was very shocked when I started doing this. And then minimize the tokens before you scale. Now, before you point any price here, model at the automations, cut the waste.