Codex vs Fable: Which AI Agent Picked the Better Problem?
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I cannot wait to give you this video, I cannot wait to give you this video, because this is the Fable versus Codex because this is the Fable versus Codex because this is the Fable versus Codex 5.6 knockdown, drop-out fight video I've 5.6 knockdown, drop-out fight video I've 5.6 knockdown, drop-out fight video I've been waiting to do. So, what did I do? I been waiting to do. So, what did I do? I been waiting to do. So, what did I do? I asked it to automate something that I asked it to automate something that I asked it to automate something that I did not tell it to do. In other words, did not tell it to do. In other words, did not tell it to do. In other words, part of the challenge in 2026 is to ask part of the challenge in 2026 is to ask part of the challenge in 2026 is to ask your AI to pick the problem. You don't your AI to pick the problem. You don't your AI to pick the problem. You don't just ask it to pick the prompt. You just ask it to pick the prompt. You just ask it to pick the prompt. You don't just ask it to pick the tool. You don't just ask it to pick the tool. You don't just ask it to pick the tool. You ask it to pick the problem. And so, what ask it to pick the problem. And so, what ask it to pick the problem. And so, what I did is I said, "Codex, Fable, I did is I said, "Codex, Fable, I did is I said, "Codex, Fable, freehand. You can look at all of my freehand. You can look at all of my freehand. You can look at all of my local files. You can look at all of my local files. You can look at all of my local files. You can look at all of my Slacks. Anything you want to look at Slacks. Anything you want to look at Slacks. Anything you want to look at that describes my business process. And that describes my business process. And that describes my business process. And when you do that, you are obligated to when you do that, you are obligated to when you do that, you are obligated to come back to me with a problem come back to me with a problem come back to me with a problem definition. definition. definition. And you're obligated to come back to me And you're obligated to come back to me And you're obligated to come back to me with a solution and automation. And then with a solution and automation. And then with a solution and automation. And then when I was working on this, and I did when I was working on this, and I did when I was working on this, and I did this sort of knockout, and I'm going to this sort of knockout, and I'm going to this sort of knockout, and I'm going to give you the results. I'm going to give give you the results. I'm going to give give you the results. I'm going to give you the results. When I did this, I you the results. When I did this, I you the results. When I did this, I realized realized realized that I could turn this into a reusable that I could turn this into a reusable that I could turn this into a reusable skill. And so, that's what I'm putting skill. And so, that's what I'm putting skill. And so, that's what I'm putting together for you today. You're going to together for you today. You're going to together for you today. You're going to see it today. It's It's a lot of fun to see it today. It's It's a lot of fun to see it today. It's It's a lot of fun to make. It's a lot of fun to use. Because make. It's a lot of fun to use. Because make. It's a lot of fun to use. Because what I find is most of us have a what I find is most of us have a what I find is most of us have a different verbal understanding of the different verbal understanding of the different verbal understanding of the problems in our business than our problems in our business than our problems in our business than our behavior shows. Especially if you have a behavior shows. Especially if you have a behavior shows. Especially if you have a team that you work with. Whether you're team that you work with. Whether you're team that you work with. Whether you're a leader or an individual contributor, a leader or an individual contributor, a leader or an individual contributor, you may not realize all of the mess that you may not realize all of the mess that you may not realize all of the mess that goes on around you. This is your biggest goes on around you. This is your biggest goes on around you. This is your biggest pain point. And you know what's pain point. And you know what's pain point. And you know what's fascinating? Codex and Fable picked
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fascinating? Codex and Fable picked fascinating? Codex and Fable picked different pain points. So, sit back. different pain points. So, sit back. different pain points. So, sit back. We're going to go through the full Codex We're going to go through the full Codex We're going to go through the full Codex versus Fable results. We're going to dig versus Fable results. We're going to dig versus Fable results. We're going to dig into why they made the choices they did. into why they made the choices they did. into why they made the choices they did. And we're going to talk about the skill And we're going to talk about the skill And we're going to talk about the skill that I'm releasing that helps you get that I'm releasing that helps you get that I'm releasing that helps you get your automations done, whether in Fable your automations done, whether in Fable your automations done, whether in Fable or in Codex. Both will work. And I'll or in Codex. Both will work. And I'll or in Codex. Both will work. And I'll explain why and how. And I'll So, So, explain why and how. And I'll So, So, explain why and how. And I'll So, So, basic All right. Let's jump into Codex basic All right. Let's jump into Codex basic All right. Let's jump into Codex first. Pros first for Codex. I love the first. Pros first for Codex. I love the first. Pros first for Codex. I love the Codex harness. I've said it before, but Codex harness. I've said it before, but Codex harness. I've said it before, but this gives me a chance to explain why. this gives me a chance to explain why. this gives me a chance to explain why. When I give Codex a job and I give Codex When I give Codex a job and I give Codex When I give Codex a job and I give Codex Ultra a job, it just goes and does it. Ultra a job, it just goes and does it. Ultra a job, it just goes and does it. Now, Codex Ultra is a special setting Now, Codex Ultra is a special setting Now, Codex Ultra is a special setting you have to go and fish out of the you have to go and fish out of the you have to go and fish out of the interface. If you look, you have to go interface. If you look, you have to go interface. If you look, you have to go and manually select it and it warns you and manually select it and it warns you and manually select it and it warns you it's going to burn a lot of tokens. One it's going to burn a lot of tokens. One it's going to burn a lot of tokens. One of the interesting things about Chat GPT of the interesting things about Chat GPT of the interesting things about Chat GPT work and Codex is that together they've work and Codex is that together they've work and Codex is that together they've been gaining about a million users a day been gaining about a million users a day been gaining about a million users a day in just the last week. That's a huge in just the last week. That's a huge in just the last week. That's a huge scale up. And they are now between Chat scale up. And they are now between Chat scale up. And they are now between Chat GPT work and Codex, more people are GPT work and Codex, more people are GPT work and Codex, more people are using that product set than are using using that product set than are using using that product set than are using Claude code. And so it's been gaining a Claude code. And so it's been gaining a Claude code. And so it's been gaining a tremendous amount of popularity and I tremendous amount of popularity and I tremendous amount of popularity and I can see why. I can give Codex a can see why. I can give Codex a can see why. I can give Codex a challenge like this. Basically, I told challenge like this. Basically, I told challenge like this. Basically, I told it, one, you have to go and discover it, one, you have to go and discover it, one, you have to go and discover my Slack, all of the places I work. Two, my Slack, all of the places I work. Two, my Slack, all of the places I work. Two, you have to go and do that you have to go and do that you have to go and do that and write an automation script and write an automation script and write an automation script afterward. And three, you have to tell
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afterward. And three, you have to tell afterward. And three, you have to tell the story of why this happened and why the story of why this happened and why the story of why this happened and why you picked what you chose. So there's you picked what you chose. So there's you picked what you chose. So there's multiple tasks here and I didn't give it multiple tasks here and I didn't give it multiple tasks here and I didn't give it a problem. It had to pick the problem. a problem. It had to pick the problem. a problem. It had to pick the problem. Now, Fable was a complete hassle to work Now, Fable was a complete hassle to work Now, Fable was a complete hassle to work with. I just got to be honest, right? with. I just got to be honest, right? with. I just got to be honest, right? This is This is what you come to this This is This is what you come to this This is This is what you come to this channel for. I'm not going to pull my channel for. I'm not going to pull my channel for. I'm not going to pull my punches. Fable was a complete hassle to punches. Fable was a complete hassle to punches. Fable was a complete hassle to work with. Multiple permission work with. Multiple permission work with. Multiple permission dialogues, but I waited through that. I dialogues, but I waited through that. I dialogues, but I waited through that. I really wanted to see what Fable would really wanted to see what Fable would really wanted to see what Fable would come up with. And Fable in the end, once come up with. And Fable in the end, once come up with. And Fable in the end, once it ground through the problem, came up it ground through the problem, came up it ground through the problem, came up with a much, much better problem. with a much, much better problem. with a much, much better problem. It found a much more interesting problem It found a much more interesting problem It found a much more interesting problem because what what Fable realized because what what Fable realized because what what Fable realized strategically, and this is where like strategically, and this is where like strategically, and this is where like there's that big model smell. I don't there's that big model smell. I don't there's that big model smell. I don't know how else to put it. Fable had the know how else to put it. Fable had the know how else to put it. Fable had the strategic sense to realize that one of strategic sense to realize that one of strategic sense to realize that one of the hardest jobs in the storytelling the hardest jobs in the storytelling the hardest jobs in the storytelling business is finding the right story to business is finding the right story to business is finding the right story to tell. Finding the thing that matters to tell. Finding the thing that matters to tell. Finding the thing that matters to talk about in a world of infinite AI talk about in a world of infinite AI talk about in a world of infinite AI stories. And I get asked this all the stories. And I get asked this all the stories. And I get asked this all the time, "Nate, how do you pick your time, "Nate, how do you pick your time, "Nate, how do you pick your stuff?" And to be honest with you, it's stuff?" And to be honest with you, it's stuff?" And to be honest with you, it's a lot of pain, and it's a lot of sweat a lot of pain, and it's a lot of sweat a lot of pain, and it's a lot of sweat and blood and tears and thinking about and blood and tears and thinking about and blood and tears and thinking about what you guys want to hear and what what you guys want to hear and what what you guys want to hear and what makes sense and asking you guys in some makes sense and asking you guys in some makes sense and asking you guys in some cases, and I just kind of got to go with cases, and I just kind of got to go with cases, and I just kind of got to go with my instinct. It's it's been very much my instinct. It's it's been very much my instinct. It's it's been very much instinctive.
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instinctive. instinctive. And Fable jumped into that and said, "I And Fable jumped into that and said, "I And Fable jumped into that and said, "I bet I can build something that helps bet I can build something that helps bet I can build something that helps with pre-pipelining." Basically, helping with pre-pipelining." Basically, helping with pre-pipelining." Basically, helping you to refine ideas so that they are you to refine ideas so that they are you to refine ideas so that they are easier to choose. Wow, there's leverage easier to choose. Wow, there's leverage easier to choose. Wow, there's leverage in that idea. That idea is not a dry in that idea. That idea is not a dry in that idea. That idea is not a dry handoff concept. That idea has legs to handoff concept. That idea has legs to handoff concept. That idea has legs to it. And unfortunately, and this is where it. And unfortunately, and this is where it. And unfortunately, and this is where the twist comes, it came back with a the twist comes, it came back with a the twist comes, it came back with a much, much too narrow definition of the much, much too narrow definition of the much, much too narrow definition of the problem. Because you see, Codex audited problem. Because you see, Codex audited problem. Because you see, Codex audited my media slack and the way I tell my media slack and the way I tell my media slack and the way I tell stories and how I make these stories stories and how I make these stories stories and how I make these stories come alive for folks. And it came up come alive for folks. And it came up come alive for folks. And it came up with the most boring possible with the most boring possible with the most boring possible interpretation of the problem. Now, it interpretation of the problem. Now, it interpretation of the problem. Now, it may be real, and it may be a real may be real, and it may be a real may be real, and it may be a real problem, but it's a typically problem, but it's a typically problem, but it's a typically Codex-flavored definition of the Codex-flavored definition of the Codex-flavored definition of the problem. And this is my con with Codex, problem. And this is my con with Codex, problem. And this is my con with Codex, and that shows in the kinds of problems and that shows in the kinds of problems and that shows in the kinds of problems it picks when it has an open-ended it picks when it has an open-ended it picks when it has an open-ended problem space to work in. It can pick problem space to work in. It can pick problem space to work in. It can pick any problem, right? Like I was like, any problem, right? Like I was like, any problem, right? Like I was like, "Any size, you have a completely free "Any size, you have a completely free "Any size, you have a completely free hand, you can go after it."
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hand, you can go after it." hand, you can go after it." And And And what it chose to pick was, "Hey, can we what it chose to pick was, "Hey, can we what it chose to pick was, "Hey, can we make the handoff package better so that make the handoff package better so that make the handoff package better so that Nate can get into scripting faster?" So, Nate can get into scripting faster?" So, Nate can get into scripting faster?" So, all of the research can be done and Nate all of the research can be done and Nate all of the research can be done and Nate can figure out what the story is that he can figure out what the story is that he can figure out what the story is that he wants to tell. But, wants to tell. But, wants to tell. But, it's not the most painful problem right it's not the most painful problem right it's not the most painful problem right now. now. now. It's not the most challenging problem in It's not the most challenging problem in It's not the most challenging problem in the business right now. It is a problem the business right now. It is a problem the business right now. It is a problem that Codex found that was voiced, that that Codex found that was voiced, that that Codex found that was voiced, that Codex could wrap its arms around. Codex could wrap its arms around. Codex could wrap its arms around. And that is a tremendous clue if you're And that is a tremendous clue if you're And that is a tremendous clue if you're a Codex user. That is something you can a Codex user. That is something you can a Codex user. That is something you can take to the bank. Because when you give take to the bank. Because when you give take to the bank. Because when you give Codex Codex Codex a free rein, a free rein, a free rein, and you say, "Go and pick any problem and you say, "Go and pick any problem and you say, "Go and pick any problem you want." Codex is going to keep itself you want." Codex is going to keep itself you want." Codex is going to keep itself bounded. Even in ultra mode, when it has bounded. Even in ultra mode, when it has bounded. Even in ultra mode, when it has a tremendous number of tokens to burn, a tremendous number of tokens to burn, a tremendous number of tokens to burn, and I have been burning multiple and I have been burning multiple and I have been burning multiple billions of tokens a day with Codex, it billions of tokens a day with Codex, it billions of tokens a day with Codex, it still picks bounded problems. Now, it still picks bounded problems. Now, it still picks bounded problems. Now, it gets it done. It got all the way done. gets it done. It got all the way done. gets it done. It got all the way done. It was finished. It was one run, zero It was finished. It was one run, zero It was finished. It was one run, zero issues. But that's not enough. I need a issues. But that's not enough. I need a issues. But that's not enough. I need a better problem nose. But that being better problem nose. But that being better problem nose. But that being said, said, said, Fable is an amazing, amazing strategic Fable is an amazing, amazing strategic Fable is an amazing, amazing strategic thinker. It did a great job at thinker. It did a great job at thinker. It did a great job at understanding the intent behind the understanding the intent behind the understanding the intent behind the prompt, and discovering a problem that prompt, and discovering a problem that prompt, and discovering a problem that was worth going after. And I love that was worth going after. And I love that was worth going after. And I love that about it. And I'm excited because about it. And I'm excited because about it. And I'm excited because you know, Codex's tool that it built is you know, Codex's tool that it built is you know, Codex's tool that it built is fine. I will probably use it.
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fine. I will probably use it. fine. I will probably use it. Fable's tool is now essential. I've got Fable's tool is now essential. I've got Fable's tool is now essential. I've got to have that tool. I can't not have that to have that tool. I can't not have that to have that tool. I can't not have that tool. And that is the bar that I want to tool. And that is the bar that I want to tool. And that is the bar that I want to set. I'm not interested in AI agents set. I'm not interested in AI agents set. I'm not interested in AI agents that build tools that are okay, it's that build tools that are okay, it's that build tools that are okay, it's fine. Because too many of us got open fine. Because too many of us got open fine. Because too many of us got open claw, and then we didn't do anything claw, and then we didn't do anything claw, and then we didn't do anything with it. And that's the reason why I'm with it. And that's the reason why I'm with it. And that's the reason why I'm making this video. This video is for making this video. This video is for making this video. This video is for people who don't realize that the open people who don't realize that the open people who don't realize that the open claw problem, the what do I do with my claw problem, the what do I do with my claw problem, the what do I do with my open claw problem, is solvable by AI. open claw problem, is solvable by AI. open claw problem, is solvable by AI. You don't have to know what you need to You don't have to know what you need to You don't have to know what you need to do to get value out of your agents. You do to get value out of your agents. You do to get value out of your agents. You can just tell the agent, "Look at my can just tell the agent, "Look at my can just tell the agent, "Look at my behavior, pick an automation behavior, pick an automation behavior, pick an automation opportunity, and let's go." And that opportunity, and let's go." And that opportunity, and let's go." And that brings me to the build. So, I realized, brings me to the build. So, I realized, brings me to the build. So, I realized, as I went through this process, yeah, as I went through this process, yeah, as I went through this process, yeah, sure, this is fine for me. But for you sure, this is fine for me. But for you sure, this is fine for me. But for you guys, you deserve to have an automation guys, you deserve to have an automation guys, you deserve to have an automation solution that's kind of like a magic solution that's kind of like a magic solution that's kind of like a magic easy button. And it turns out that what easy button. And it turns out that what easy button. And it turns out that what you need to get that done is a skill you need to get that done is a skill you need to get that done is a skill that puts safeguards in place that lets that puts safeguards in place that lets that puts safeguards in place that lets you put walls in. I had a personal slack you put walls in. I had a personal slack you put walls in. I had a personal slack I didn't want my AIs to touch, so I put I didn't want my AIs to touch, so I put I didn't want my AIs to touch, so I put a wall in there. Said you can't touch a wall in there. Said you can't touch a wall in there. Said you can't touch that in the course of this research that that in the course of this research that that in the course of this research that allows it to expand its understanding of allows it to expand its understanding of allows it to expand its understanding of the problem. That allows it to dig in to the problem. That allows it to dig in to the problem. That allows it to dig in to the first, second, third level of the first, second, third level of the first, second, third level of causation, understand the leverage in causation, understand the leverage in causation, understand the leverage in the problem space, pick strategically, the problem space, pick strategically, the problem space, pick strategically, and then after it root causes what's
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and then after it root causes what's and then after it root causes what's really going on in your business or your really going on in your business or your really going on in your business or your project or your personal life, come back project or your personal life, come back project or your personal life, come back with an automation recommendation, which with an automation recommendation, which with an automation recommendation, which is very 2025. And then what's 2026? Come is very 2025. And then what's 2026? Come is very 2025. And then what's 2026? Come back with a tool that it built to fix back with a tool that it built to fix back with a tool that it built to fix that for you. And I've included, because that for you. And I've included, because that for you. And I've included, because I learned this through this process with I learned this through this process with I learned this through this process with Codex, I've included a special section Codex, I've included a special section Codex, I've included a special section in this script reminding the AI not to in this script reminding the AI not to in this script reminding the AI not to think small, and reminding it that when think small, and reminding it that when think small, and reminding it that when thinks big, it needs to build thinks big, it needs to build thinks big, it needs to build completely. And so if it's going to completely. And so if it's going to completely. And so if it's going to build something that's a solution for build something that's a solution for build something that's a solution for you, it needs to build it all the way you, it needs to build it all the way you, it needs to build it all the way through and think about security. It through and think about security. It through and think about security. It needs to think about how you needs to think about how you needs to think about how you authenticate if that's what needs to authenticate if that's what needs to authenticate if that's what needs to happen. It needs to think about how you happen. It needs to think about how you happen. It needs to think about how you get business value out of this. Now, I get business value out of this. Now, I get business value out of this. Now, I don't know what you're going to build don't know what you're going to build don't know what you're going to build with this. That's the magic. The whole with this. That's the magic. The whole with this. That's the magic. The whole point of this is that because AI is point of this is that because AI is point of this is that because AI is non-deterministic, non-deterministic, non-deterministic, I can launch effectively an automagic I can launch effectively an automagic I can launch effectively an automagic skill that audits your unique skill that audits your unique skill that audits your unique fingerprint. I never see it. The data fingerprint. I never see it. The data fingerprint. I never see it. The data never comes to me, right? It's all in never comes to me, right? It's all in never comes to me, right? It's all in your AI instance.
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your AI instance. your AI instance. And it will build for you based on the And it will build for you based on the And it will build for you based on the skill an automation solution that's skill an automation solution that's skill an automation solution that's neatly tuned to the most pressing neatly tuned to the most pressing neatly tuned to the most pressing problems in your business, your personal problems in your business, your personal problems in your business, your personal life, your side project, whatever you life, your side project, whatever you life, your side project, whatever you have that comes to mind. And you can have that comes to mind. And you can have that comes to mind. And you can point it, right? When you write the point it, right? When you write the point it, right? When you write the prompt to to with this, you can say, prompt to to with this, you can say, prompt to to with this, you can say, "This is focused on this side project." "This is focused on this side project." "This is focused on this side project." Or "This is focused on this business Or "This is focused on this business Or "This is focused on this business area that I'm working on." Or "This is area that I'm working on." Or "This is area that I'm working on." Or "This is my personal life and this is what I care my personal life and this is what I care my personal life and this is what I care about." And so, I call it an auto magic about." And so, I call it an auto magic about." And so, I call it an auto magic button for automation. But, because it button for automation. But, because it button for automation. But, because it got into the problem space, because I got into the problem space, because I got into the problem space, because I saw what it was wrestling with, and saw what it was wrestling with, and saw what it was wrestling with, and because I saw what Fable was working on, because I saw what Fable was working on, because I saw what Fable was working on, I now have the option to run hard and I now have the option to run hard and I now have the option to run hard and get a full solution to my pre-pipeline get a full solution to my pre-pipeline get a full solution to my pre-pipeline concept, which Fable came up with, out concept, which Fable came up with, out concept, which Fable came up with, out of Codex, which is cheaper. In other of Codex, which is cheaper. In other of Codex, which is cheaper. In other words, if you run this simultaneously words, if you run this simultaneously words, if you run this simultaneously across Fable and Codex, you're going to across Fable and Codex, you're going to across Fable and Codex, you're going to get different responses, different get different responses, different get different responses, different thinking, a diversity of perspective, thinking, a diversity of perspective, thinking, a diversity of perspective, and you're going to be able to come back and you're going to be able to come back and you're going to be able to come back and say, "This is the winner, and this and say, "This is the winner, and this and say, "This is the winner, and this is how I want to implement it." And yes, is how I want to implement it." And yes, is how I want to implement it." And yes, Ringer will help you implement it well, Ringer will help you implement it well, Ringer will help you implement it well, because Ringer's a lot cheaper to run because Ringer's a lot cheaper to run because Ringer's a lot cheaper to run than just going with Fable, for example.
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than just going with Fable, for example. than just going with Fable, for example. It was so much fun to run. I'm not going It was so much fun to run. I'm not going It was so much fun to run. I'm not going to lie. One of the things that I want to lie. One of the things that I want to lie. One of the things that I want people to realize with AI is that it is people to realize with AI is that it is people to realize with AI is that it is fun to do this stuff. It is fun. It is fun to do this stuff. It is fun. It is fun to do this stuff. It is fun. It is fun to realize I don't have to carry the fun to realize I don't have to carry the fun to realize I don't have to carry the load anymore of figuring out where all load anymore of figuring out where all load anymore of figuring out where all the problems are. I can ask AI to help. the problems are. I can ask AI to help. the problems are. I can ask AI to help. And I can disagree, and I can agree, and And I can disagree, and I can agree, and And I can disagree, and I can agree, and I can align, and I can shape a I can align, and I can shape a I can align, and I can shape a perspective, and then I can build a perspective, and then I can build a perspective, and then I can build a tool, and that can all happen in a tool, and that can all happen in a tool, and that can all happen in a single prompt. A single prompt that just single prompt. A single prompt that just single prompt. A single prompt that just says, "Here, use this skill and go after says, "Here, use this skill and go after says, "Here, use this skill and go after this." And that's what I'm releasing. this." And that's what I'm releasing. this." And that's what I'm releasing. I'm releasing it as a skill because I'm releasing it as a skill because I'm releasing it as a skill because skills are so easy to sort of trade and skills are so easy to sort of trade and skills are so easy to sort of trade and interchange and understand and learn interchange and understand and learn interchange and understand and learn from and evolve over time. And I just from and evolve over time. And I just from and evolve over time. And I just want it to be something that you can use want it to be something that you can use want it to be something that you can use as a framework to quickly evolve. And as a framework to quickly evolve. And as a framework to quickly evolve. And so, that's what I'm doing. I'm excited so, that's what I'm doing. I'm excited so, that's what I'm doing. I'm excited to have it out there. Please, please, to have it out there. Please, please, to have it out there. Please, please, please, if this inspired you, tell me please, if this inspired you, tell me please, if this inspired you, tell me what you're automating. Tell me what you what you're automating. Tell me what you what you're automating. Tell me what you told your Codex to go and get. Tell me told your Codex to go and get. Tell me told your Codex to go and get. Tell me what you told your Claude to go and get. what you told your Claude to go and get. what you told your Claude to go and get. If you split tested them, which one did If you split tested them, which one did If you split tested them, which one did you prefer? Because I got to be honest, you prefer? Because I got to be honest, you prefer? Because I got to be honest, when I baked all of it out all the way when I baked all of it out all the way when I baked all of it out all the way through, I am divided. I loved Fable's through, I am divided. I loved Fable's through, I am divided. I loved Fable's strategic perspective. I loved it so strategic perspective. I loved it so strategic perspective. I loved it so much and I think that if, you know, gun much and I think that if, you know, gun much and I think that if, you know, gun to my head, I had to pick, I would pick to my head, I had to pick, I would pick to my head, I had to pick, I would pick Fable because that strategic perspective Fable because that strategic perspective Fable because that strategic perspective gives me leverage that I can work gives me leverage that I can work gives me leverage that I can work through with Codex, that I can work through with Codex, that I can work through with Codex, that I can work through with Ringer, etc.
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through with Ringer, etc. through with Ringer, etc. But, the Codex harness is just so nice But, the Codex harness is just so nice But, the Codex harness is just so nice that as an everyday driver, I'm burning that as an everyday driver, I'm burning that as an everyday driver, I'm burning way more tokens there because it's fast, way more tokens there because it's fast, way more tokens there because it's fast, it's dependable, it doesn't give me it's dependable, it doesn't give me it's dependable, it doesn't give me those annoying pop-ups, and for most those annoying pop-ups, and for most those annoying pop-ups, and for most work, if it's not problem recognition, I work, if it's not problem recognition, I work, if it's not problem recognition, I can just go after it. What do you think? can just go after it. What do you think? can just go after it. What do you think? Tell me in the comments. Cheers.
Summary
The main theme is comparing AI models like Fable and Codex for problem identification and automation. Key subjects include AI autonomy, business process analysis, and the concept of an AI picking the problem rather than just the prompt. The practical takeaway is that enabling AI to identify pain points leads to more effective and reusable automation skills, despite potential differences in how distinct AI models approach these challenges.