Kilo Code DESTROYS Fable 5?

So how do you get Fable 5 level intelligence without Fable 5 itself? Obviously Fable 5 has been taken down, nobody can use it, but what can you do in the meantime whilst you wait for it to come back up? Well Kilo Code actually created a recent case study like you see here and I've actually implemented the model and I'll show you what we found today where basically if you have a combination of different models planning then you'll get better outputs and you can get better intelligence side by side. So let's test it out and see and the thing that I would say with all this you know we saw this with Fusion as well that came out from OpenRooter recently is like you can try it and just see what you think you know like I wouldn't pay too much attention to benchmarks I would just test out yourself I'll show you what we tested so far and so the context here is like Fable 5 was you know the most powerful AI ever made public and then it was shut down worldwide three days after launch.

Now Kilo according to their research tried to prove something which is if you hand a cheaper model a good plan it can build the exact same thing that Fable 5 would, identical, but it requires less tokens or it requires less powerful models to actually get the most out of it. Again this isn't my theory this is the Kilo team that ran the test and published it. So they had two frontier models plan the same service then they made both build the winning plan from identical starts and this is the key point is all in the planning according to this. So Fable 5 the most powerful model ever made public 80% on SWE bench pro and a cheap model produced services that were identical down to which individual users 35% rollout enabled both passing 15 checks right the only difference here was the amount of tokens and the cost.

So according to the Kilo blog planning with Claude Fable 5 and implementing with GPT 5.5 produced the same service for 59% less than using Claude Fable for both phases. So you can get a great plan and then plug it into your system according to this. So you get like the identical output but 62% less to build across a full plan and build pipeline that's 59% cheaper which is a 2.4x gap that scales to roughly you know as you can imagine quite a lot. So the plan quality where does the intelligence actually live and you can see the details here so they've actually created this blog on you don't have to use Fable and Mythos to work on the frontier so basically what you can have is one plan in and then you get identical builds out right and this is what Kilo are trying to prove so they gave the same plan to two different models both passed all 15 acceptance checks and then the two services were identical.

So you got the planner which is like that's where you use a frontier model the plan decides all and then the agents actually build so you can use cheaper agents for building to get identical outputs. Now why does this work well basically the model stops mattering as much when you have a more pinned plan so a vague plan would leave forks open so each model would guess two models build two different apps a pinned plan decides every fork and so there's nothing left to guess with a pinned plan so any model can land on the exact same build right vague plan any model the output differs pinned plan which decides every fork any model same app which is pretty crazy now it wouldn't be like any model but you get the point like you could use something less powerful something cheaper and then you can build out better now there's three different moves here so the smart model would write the plan you switch the model in a click and then the cheap model would build it and then you can have review agents like check it for bugs and security and that sort of thing so you got the plan the build review agents the check for security or logic and that sort of thing and then it gets shipped and so if you look at this you got the old way and the new way where for example if you plan and build with the best models that would use up more tokens if you use the new way you are planned and then you can build with a cheaper model and that would be more efficient 59% less on some of the tests and also if one model gets taken down like fable 5 it's okay you can root the plan that you saved to model b and so the plan survives you just swap the builder and then you don't have to worry about using one model again now also the other thing about this is that a good plan is a reusable asset right so you could write it once and then fan it out to as many like cheaper models as you wanted to build in variations so you could have one plan that's reusable and then build it with multiple different models and just see which one creates the best now you can do this inside kilo here's an example of how that would work so you could say okay opus 4.8 write a very detailed plan and then the builders build it with a cheaper model for example like kimikator 17 and you might say well won't like the the worst model mess up the build if the plan has already made every decision guessing where builds go wrong and a complete plan leaving nothing to guess will both models build the exact same plan and would pass all 15 checks according to this research so for example if we're actually building you could use a free model like nemetron 3 ultra or a cheaper model like minimax m3 to actually build it out and then use a frontier model for actually creating the plan so the old way would be like for example you point every job at the most powerful model then using the frontier token costs associated with that and also as you scale up what would use more and more tokens whereas a new way is like the genius ai model that you want to use plans it and then cheaper models build it with the identical output if a model gets removed like fable 5 you swap the builder and keep moving you use less tokens overall and also the plan is a reusable asset so you can build from it forever and also as you scale you'd have less tokens used now some people say well the best model should do everything but the best model is great for judgment it doesn't necessarily need to do everything for you especially if you've got like a fail-safe plan that can go off and build stuff a lot of people say well i need to to wait until one model clearly wins but fable 5 was the best and then it got removed and a lot of people say well this sounds technical so you can do it with like two prompts inside kilo but you could also build like for example a skill around that inside claude that would be quite interesting too so you could say to claude okay use this model for actually creating the build and then use your most powerful model for creating the plan so just to recap you learned how to potentially and again just test it yourself but potentially get a frontier model to plan and then a cheaper model to build or a free model to build so you keep the same quality but use less tokens you can also run it in one tool with kilo but you can basically use the most powerful model for the plan and then build it for free with a free api a free model and as an example of that like you might be wondering okay what free models are there so for example n2 nemetron 3 ultra you got local models you have free apis like our alpha as well um you could just test yourself see which one works the best for you so if you want the whole system that we use for building stuff you can get that inside the ai profitable and we have a full agent operating system like you can see here for implementing all of our ai agents working together the great thing about that is for example if we're using hermes we could use a really powerful model for planning and then that can delegate to sub-agents the same with claude the same with for example fusion is a great example of this so this is another api that claims to get fable level intelligence by having multiple agents basically come up with a plan or the outputs then a judge actually fuses it together and then you get one answer together so that's another alternative as well which is fusion where you use multiple models so you could have like opus and gemini and grock working together and then that creates on benchmarks according to them again just test it yourself but on benchmarks it would potentially hit you know the same sort of benchmarks that you get with a frontier level model so thanks so much for watching if you want to get all of my best trainings from this sort of stuff if you want to get my agent operating system you can get that inside the ai profitable boardroom you can post questions inside the community i personally answer them so does everyone else inside the community inside the classroom you can get access to all my best trainings so we have a complete beginner to expert course here and we also have new daily updates like you see if you like the advanced stuff we've actually got a whole section on fusion and how to use it and get the best outputs from it to achieve potentially fable 5 level intelligence and then also we have the agent operating system that we update daily and you can get the zip file inside here too we also have a calendar here where you can jump on weekly coaching calls ask questions share your screen meet cool people build in similar stuff inside the map you can meet people in your local area who are using ai agents like you and this is all available inside the air profitable boardroom link in the comments description or go to the air profitable.com thanks for watching