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Fable 5 is Back! Here's the Best Way to Use It...
Anthropic finally brought Fable 5 back and in the same week, they also launched the new Sonnet 5 model. In this video, I break down everything you need to know about these models and explains which one you should be using. Enjoy!
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📥 The Backlog You Built Was Supposed to Disappear
There was a reasonable expectation, early in AI adoption for most people, that a faster production process would mean a shrinking to-do list. If drafts take a fraction of the time, if research compresses dramatically, if content generation accelerates, the backlog of things waiting to get done should get smaller. For a lot of people, that hasn't happened. The backlog is roughly the same size it always was, or in some cases it's larger. Understanding why is one of the more important things to get clear on, because the answer changes what "productive use of AI" actually means. ------------- Context ------------- AI doesn't shrink backlogs. It relocates them. Specifically, it moves the bottleneck from creation to output volume, and output volume has a way of expanding to fill whatever capacity becomes available, which means the backlog doesn't disappear so much as it changes shape. Before AI, the backlog was gated by creation time. There was a natural limit on how much content, how many proposals, how much analysis could get produced in a given period, because each piece took a meaningful amount of time to create. That limit set a ceiling on total output, and the backlog reflected demand against that ceiling. AI removes the creation-time ceiling. Suddenly it's possible to produce significantly more, faster. The intuitive expectation is that this closes the gap between demand and output. In practice, what often happens instead is that the definition of "enough" output expands to match the new capacity. More content gets planned because more content is now possible. More proposals get pursued because they're faster to produce. More variations get generated because generating them is nearly free. The backlog persists, just at a higher absolute level of output on both sides of the equation. A content strategist described this directly: she had assumed that once AI compressed her drafting time, her content backlog would finally clear. Instead, her team's content calendar expanded to include significantly more planned pieces, because the capacity was there and it felt wasteful not to use it. The backlog she was working through six months after AI adoption was, if anything, larger than before, just made up of more ambitious and more numerous pieces of content.
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📥 The Backlog You Built Was Supposed to Disappear
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What Success Actually Buys You
Most people think success is about money. It's not. Money is just what buys you options. I've worked hard for decades. Not because I fell in love with the grind, but because I fell in love with what the work could create. Every uncomfortable conversation. Every risk. Every time I wanted to quit but didn't. None of it was just to make more. It was to own my time. To be there for the people I love. To create memories instead of regrets. To have the freedom to say yes to what matters and no to what doesn't. Don't chase success because you want to look successful. Chase it because one day you'll realize time is the only thing you can't earn back. Work hard. Do the uncomfortable things. Become the person capable of creating the life you want. Because real success isn't measured by what you own. It's measured by how fully you get to live. Question for you: If you had complete freedom over your time one year from now, what would you spend more of it doing... and who would you spend it with?
🤔 WE WANT YOUR HONEST OPINION!
We want to better understand what people are TRULY trying to accomplish when it comes to AI so we can make our products better. We know it’s broad and there are so many different lanes, but if you had to pick one of the 2 options below, which one would you choose?
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📰 AI News: Runway Adds Slash-Command "Skills" for Building Ad Campaigns on Command 📰
📝 TL;DR 📝 Runway has added Agent Skills to Runway Agent, its conversational marketing tool. Type / inside the Agent, pick a packaged workflow like "build an ad campaign" or "localize ads," and it executes the full multi-step process automatically. This sits on top of Agent 2.0, released in late June, and is aimed squarely at marketers scaling creative output. It is available now for paid Runway users. 🧠 Overview 🧠 Runway Agent launched as a conversational AI creative partner: describe your product or campaign, and it works out the angles, concepts, and assets likely to perform. Agent Skills is the next layer on top of that conversational foundation, and it addresses a familiar problem with any AI chat tool used for repeated business tasks: typing out the same detailed brief every single time is tedious, even when the AI understands you well. Skills solve that by packaging a specific, repeatable multi-step workflow behind a single slash command. Instead of describing what an ad campaign needs from scratch each time, you type /, select the skill, and the agent runs its established process automatically. This is a familiar pattern if you have used slash commands in Claude Code or other AI tools, now applied specifically to marketing and creative production. 📜 The Announcement 📜 Runway positions Agent 2.0, which launched in late June, as a tool that helps marketers "make more of what works": ads, videos, and full campaigns intended to drive revenue. According to Runway's own materials, the Agent can generate marketing briefs, produce campaign assets, and analyze performance data within a single ongoing workflow, functioning less like a single-purpose generation tool and more like an end-to-end creative partner. Agent Skills builds directly on that foundation. Rather than relying purely on conversational prompting for every task, users can now invoke pre-built, packaged workflows for specific job types, building an ad campaign, creating a commercial, and localizing ads across markets are the examples currently highlighted. Each skill runs its full multi-step process on a single command rather than requiring the user to manually direct each stage.
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📰 AI News: Runway Adds Slash-Command "Skills" for Building Ad Campaigns on Command 📰
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