Fable 5 + GPT 5.6 Sol = CHEAT CODE — Transcript
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- 0:00GPT 5.6 aka Soul is coming out tomorrow
- 0:04and the big question on everyone's mind
- 0:05is does this new model beat Claude
- 0:08Fable? Well, I think that's the wrong
- 0:10question to ask because instead of
- 0:12trying to figure out which one of these
- 0:13models is better, we should be asking
- 0:16how can we use these two powerful models
- 0:18together? And in today's video, I'm
- 0:20going to be giving you a skill that does
- 0:21exactly that. This skill includes a
- 0:24supercharged plan mode based on Matt
- 0:25PCO's Grill Me. We then have an
- 0:27adversarial planning session where
- 0:29Claude and Codex go headto-head till
- 0:30they come to a conclusion. Then once
- 0:33we're ready, we take that Fabled driven
- 0:36plan and hand it off to Codeex, which
- 0:38starting tomorrow will include Soul 5.6.
- 0:42After Codeex goes to work, then we have
- 0:44Fable review the entire process. All in
- 0:47all, we're not just getting the best of
- 0:48both of these models, we're also saving
- 0:50tokens in the aggregate versus having
- 0:52Fable do everything. So, I'm going to
- 0:54show you how this works. We're going to
- 0:55do a quick demo and then I'll be giving
- 0:57you the skill. So why should we even
- 0:58care about creating some sort of skill
- 1:00where Fable does most of the planning
- 1:01and then we pass it off to Soul 5.6?
- 1:04Well, first reason is Soul 5.6 is wildly
- 1:08powerful, at least according to the
- 1:10benchmarks. Now, grain of salt, this is
- 1:12coming from OpenAI, but when we look at
- 1:14Soul 5.6 Ultra and just standard 5.6 six
- 1:18soul. We see numbers on Terminal Bench
- 1:202.1 that put it ahead of Claude Mythos,
- 1:23let alone Fable 5. The second reason is
- 1:25token efficiency. There is a real reason
- 1:28why you see so much content around, hey,
- 1:30how can we reduce Fable's usage and the
- 1:33types of things you see are like advisor
- 1:35mode. You know, essentially having Fable
- 1:37plan and have Opus execute. Well, why
- 1:39have Opus execute if with at the same
- 1:41price I could have 5.6 do it or 5.5 do
- 1:45it? Point is, we're doing that same
- 1:47construct but with a better model and
- 1:50arguably a cheaper model than Opus. When
- 1:52we look at 5.6, it is more token
- 1:55efficient than 5.5 which was more token
- 1:57efficient than Opus 4.6. And we can see
- 2:00that in the data. What we're looking at
- 2:01right here is GPT 5.5 on extra high. Its
- 2:05pass rate on this benchmark was 23% at
- 2:09$1.24. When I look at 5.6, six, it's 25%
- 2:15score, so higher score at 56. So way
- 2:18cheaper and therefore way more
- 2:20efficient. And when we look at direct
- 2:21comparisons of 5.5 versus Opus 4.8,
- 2:24there's really no contest. Higher pass
- 2:27rates, lower cost. So we're essentially
- 2:30taking that same idea and just ramping
- 2:32it up with this 5.6 improvement. So how
- 2:34does this skill actually work? Well, I
- 2:35actually have a couple skills for you.
- 2:37In a vacuum, we have the codeex build
- 2:40skill. This is the idea that you created
- 2:41a plan with Fable and Codex is just
- 2:43going to go ahead and build that
- 2:44particular feature or particular
- 2:46product. I also have included an updated
- 2:48grillme codeex. Now, I've done a video
- 2:50on this skill before and what we've done
- 2:52is we've added on this idea of GPT 5.6
- 2:57actually going out there and building
- 2:58things for us. And so, when we look at
- 3:01the more comprehensive GMI codeex, which
- 3:03is the big skill, it occurs in four
- 3:06stages. The idea is you have some sort
- 3:09of project, some sort of feature you
- 3:10want to start and you kick it off with
- 3:12grill me codeex and the first thing that
- 3:13happens is an interview. This interview
- 3:16is literally the grill me skill from
- 3:18Matt PCO. So it is a plan mode on
- 3:20steroids. It goes way way deeper than
- 3:22Claude Code normally would. And we do
- 3:24this with Fable. All right. So Fable's
- 3:27driving the ship here. Secondly, we have
- 3:29adversarial planning. So Fable's come up
- 3:32with a plan. We then take that Fable
- 3:34plan and we push it over to Codeex. Now,
- 3:38in today's video, that's going to be
- 3:395.5, but tomorrow that will be 5.6. And
- 3:42Fable and Codex go back and forth for a
- 3:45maximum of five iterations where Fable
- 3:47says, "Hey, here's the plan." Codex
- 3:48says, "Okay, looks good. Accept X, Y,
- 3:50and Z." Then Fable says, "Uh, I agree, I
- 3:53disagree." And they go back and forth
- 3:54till they reach a consensus. Now once
- 3:56they reach that consensus and this is
- 3:58where the upgrades happen is we now push
- 4:01the actual build to codeex to 5.5 today
- 4:04and 5.6 tomorrow. I think this is way
- 4:07better than passing things off to Opus
- 4:10or to Sonnet or using advisor mode
- 4:12inside of cloud code because these GPT
- 4:14models are just better than those
- 4:16smaller anthropic models and they are
- 4:18cheaper. So, it really is a scenario
- 4:21where unless you just are super anti-GPT
- 4:23and anti-codex, it's hard to argue
- 4:25otherwise, especially if we get to a
- 4:28place where Fable is like kind of off
- 4:29the market. And lastly, once Codeex
- 4:31finishes the build, Fable is going to
- 4:33come in and it's going to review what it
- 4:35did and it's going to go through a
- 4:36maximum of two sort of iterations where,
- 4:39let's say, Fable thinks Codex did
- 4:41something wrong. It's going to say,
- 4:42"Hey, Codex, you did that wrong. Fix
- 4:43it." It's going to do that twice. If by
- 4:45the third time it's not complete, well
- 4:47then Fable will clean it up itself. So
- 4:49this is the process by which I think we
- 4:52get the best of OpenAI and Anthropic.
- 4:55Now before we hop into the demo, a quick
- 4:57word from today's sponsor, me. So I just
- 4:59released my Cloud Code master class
- 5:00inside of Chase AI plus and it is the
- 5:02number one way to go from zero to AI
- 5:04dev, especially if you don't come from a
- 5:05technical background. I update this
- 5:07every single week. We focus on real use
- 5:10cases and it also includes a codeex
- 5:12masterass as well. So, if you want to
- 5:15get a little bit more serious about AI
- 5:16and you have no idea where to begin,
- 5:18this is the place for you. There will be
- 5:20a link in the pin comment. Now,
- 5:21installing and using the skill is pretty
- 5:23straightforward. I will put a link to
- 5:24the GitHub in the description. Now, to
- 5:26use this, we're just going to do
- 5:27for/grill codeex. And we just give it
- 5:30our prompt what it is we're trying to
- 5:31build. So, we're trying to build trip
- 5:33atlas, which is a stylized cinematic
- 5:35trip planner web app. And I go into a
- 5:37little bit more details about what I
- 5:38want it to be, right? I want it to look
- 5:39kind of cool. I can put in the different
- 5:41places I'm going, all that. And once I
- 5:43do this, what's going to happen is it's
- 5:44going to kick off the grill me section
- 5:46of the plan, which if you're familiar
- 5:47with Matt PCO's work, it essentially is
- 5:50just a plan mode on steroids. It's going
- 5:52to ask me like 8 n 10 different
- 5:54questions. I go a lot deeper than your
- 5:56standard plan mode stuff. So, it's
- 5:57asking me what is this for? We're going
- 5:59to say this is for a real personal tool,
- 6:01not just a video demo. And for each of
- 6:04these, it also gives its
- 6:05recommendations. So, if you're confused
- 6:07about what I should choose and why,
- 6:08that's all spelled out for you. Now it's
- 6:10asking about geocoding and it's going to
- 6:12continue to go down these series of
- 6:13questions until it's happy with what
- 6:15we're creating. Now I'm going to skip
- 6:17through the rest of the questions
- 6:18because you can imagine what the next
- 6:20seven or eight questions will look like
- 6:21and we'll move into the adversarial
- 6:24planning stage. So we can see here it's
- 6:25written the plan and it also creates a
- 6:27markdown file where it logs all the back
- 6:29and forth between codeex and cloud code.
- 6:32And so right now we are on round one
- 6:34where it's passing it off to GBT. And so
- 6:36you can see them kind of going back and
- 6:38forth here on the log. But in this case,
- 6:41it only took them two rounds before it
- 6:44was approved. And so we can see what the
- 6:46two acts improved. You know, lock the
- 6:49identity, a real person tool, kind of
- 6:51what's going to be the actual sort of
- 6:53stack. And then it had 12 findings in
- 6:56the second round related to like
- 6:57hardening the data core. Now once it's
- 6:59completed this back and forth, you have
- 7:01a few options. either Codex is going to
- 7:03build it. Kind of what we've talked
- 7:05about from the beginning. We have the
- 7:07option just having Claude build it. So
- 7:08for whatever reason like I don't want to
- 7:09bring GPT in, you can keep it with Fable
- 7:12or you can stop here. But we're going to
- 7:14go ahead and let Codeex build this. And
- 7:16again, we can kind of go back and forth.
- 7:18If you think, well, GPT 5.6 is going to
- 7:20be better than Fable or 5.5 versus Opus
- 7:234.8. At the end of the day, the real
- 7:26value that can't really be argued with
- 7:27is going to be the token efficiency,
- 7:30especially if 5.6 6 is even close to
- 7:33what the benchmarks are claiming. So
- 7:35Codeex has finished up its build and you
- 7:37can see now what's happening is the
- 7:39review stage. So now Fable is going
- 7:41through everything Codex has built and
- 7:43then it's going to go back to Codex and
- 7:45say this is wrong, this was right.
- 7:46Remember it'll do two iterations of that
- 7:48before it's like hey I want to drive.
- 7:50It'll take the wheel and it will start
- 7:52writing the code itself. Now Fable is
- 7:54done with its review. It said there were
- 7:56a couple deviations which it felt were
- 7:58all reasonable. goes over the files and
- 7:59all this and now it's asking, hey, do
- 8:01you want to commit or you want to take a
- 8:02look at it? So, let's take a look at
- 8:03what it actually built. And so, here's
- 8:05what we got. So, over here we have sort
- 8:08of a map of the world and it looks like
- 8:10it created some custom graphics using
- 8:12the GPT image generator. So, you're able
- 8:15to like name the trip, you can add
- 8:17stops. Over here on the left, you can
- 8:19put where you're going and then sort of
- 8:21like what you're going to do at those
- 8:23different locations. It also has this
- 8:25cinematic replay. And I'm just going to
- 8:27mute this. So, let's see what happens
- 8:28here.
- 8:31So, it looks like I'll move over here.
- 8:34You can see sort of this weird plane
- 8:36hopping from spot to spot, which it
- 8:38looks like it created as an SVG. There's
- 8:41a little passport stamps and boom, there
- 8:44we go. So, you know, there's a lot we
- 8:47could do here to kind of make it look, I
- 8:49think, better, but in general, it built
- 8:52what we said we wanted to, right? Like
- 8:54everything actually works here. You
- 8:56know, if I delete things on here, delete
- 8:58some. I can move them up, down. I can
- 9:01change stuff. Let's say we added Tokyo.
- 9:03All of a sudden, it actually shows how
- 9:06far away that stop is. That's
- 9:07interesting. If I add that to the route.
- 9:10There we go. So, you know, actually
- 9:13built this out. I think it'd be a good
- 9:15not bad, I think, for the first pass.
- 9:17And what this really was about was just
- 9:18showing this workflow in action. And you
- 9:21can also see down here in terms of our
- 9:22usage, we only burned up about 130,000
- 9:25tokens on the fable side to get this
- 9:27whole thing done. So that's the skill in
- 9:28action. Hopefully you get a ton of use
- 9:29out of this one's 5.6 drops. As always,
- 9:32let me know what you thought about this
- 9:34video in the comments. Make sure to
- 9:35check out Chase AI Plus and I'll see you
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