User
Write something
Pinned
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!
Pinned
📥 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.
📥 The Backlog You Built Was Supposed to Disappear
Pinned
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?
A useful design constraint when building your AI stack: can
A useful design constraint when building your AI stack: can one person manage an entire client relationship, including delivery, without burning out? If you answer that honestly, it forces you to think about what agents and automations you actually need. The answer isn't 'build a giant AI operating system.' It's to look at every recurring task you do for a client, reporting, ad copy generation, campaign monitoring, and ask: could I package this into an agent that runs with minimal oversight? Start by picking one time-consuming process you handle for every client. Build a simple knowledge base (client documents, brand voice, recent call notes) and an agent that uses that to produce first drafts. The key is that one person can still steer, review, and talk to the client, but they're not the bottleneck for production. As you get better, you string multiple agents together, always guided by the one-person premise. This way, you don't overbuild. You build exactly what's needed to keep a single operator effective, and if you scale later, you scale that model, not a bloated team structure. What's the task you'd tackle first if you were redesigning your workflow for a one-person team?
Are the monthly subscription “community” courses all the same?
I looked at the “Discover Communities” tab, which offers training for a monthly subscription fee. These courses range from how to edit video with AI to helping you find safe peptide vendors. Some look legit and othered “scammy.” Since they live within the AI Advantage platform, can someone verify that these are all legit? There’s a “create your own community” tab which allows you to build your own community for a monthly fee. So anyone — no matter their credentials— can do this?
1-30 of 19,926
The AI Advantage
skool.com/the-ai-advantage
Founded by Tony Robbins, Dean Graziosi & Igor Pogany - AI Advantage is your go-to hub to simplify AI and confidently unlock real & repeatable results
Leaderboard (30-day)
Powered by