Sam Altman recently shared something big - the next wave of AI assistants won’t just reply when you ask. They’ll: ~ Act on their own, ~ Learn how you work, ~ And sometimes, make smart moves before you even realize you need them. That’s wild. For so long, AI has been this tool we control. But slowly, it’s starting to feel more like a teammate. One that remembers what you like, helps you stay ahead, and maybe even nudges you when you’re about to drop the ball. And honestly… this changes a lot. It’s not just a tech update, it’s a shift in how we’ll work, create, market, and make decisions. The real question isn’t “how smart can AI get?” It’s “how ready we are, to work with it like a partner?” We used to prompt. Now, we’ll collaborate. Exciting and a little scary as well, right? #AI #SamAltman #AIAssistants #Innovation #TechTrends

Truth: one prompt, infinite variations. The myth looks like a messy pile of prompt cards, chaotic, overwhelming, inconsistent results. The truth is one powerful prompt at the center with seven levers around it: change the topic, change the angle, change the audience, change the format, change the platform, change the goal, change the depth. That's organized, scalable, and it's the actual reason repetition beats invention. Pick your best-performing prompt, list seven input variations, run the same prompt for seven days with a different input each day, then compare the results. You'll notice your best outputs all came from the same structure, because the prompt does the heavy lifting, not the daily idea. Full seven-day plan at UnlockTheLab.com.

Create 567+ AI UGC vids using this exact workflow! 1) Go to Topview AI Canvas. Start with a simple idea, product, or script. 2) Instead of writing one prompt, let the AI expand your idea into a complete creative concept. Next, generate a scene-by-scene workflow. 3) This gives you a structured video instead of one random AI output. Now comes the important part. 4) Most AI videos fall apart because text prompts aren't enough to control complex shots. 5) So instead of describing every camera angle, open the 3D Shot Composer. Place your character. Add your product. Position the props. 6) Adjust the camera exactly how you want. 7) You're visually directing the scene before AI generates it, which gives you far more consistent outputs than prompting alone. 8) Once your shots are ready, generate each scene. Review the results. Swap products, scripts, or hooks while keeping the same workflow. 9) That's how you can create hundreds of UGC variations without rebuilding everything from scratch. Link to try: https://lnkd.in/g49sYZEx

I put my agents on high reasoning because I want the best performance. If there's a setting that lets the model think harder, of course I'm turning it up 🫣 This article made me reconsider that habit. I've been treating reasoning effort as a general quality setting, without giving much thought to how much reasoning a particular task needs. But the more I think about it, the more I want the agentic system to handle that choice for me. As the end user, I should be able to describe what I need without having to pick a model and reasoning level for every request. The system should consider my preferences around speed and cost and pick the most efficient model and reasoning level for the task. When we're the ones building the agents, we can design that behavior ourselves. I'm interested in using a decision-based model like Jev for this. We could give it the task and a set of model configurations we've enabled, then use its decision to route the work before the main agent starts. Use faster configurations for straightforward requests, and use the high reasoning settings for tasks that require deeper reasoning. I'll be teaching Jev as part of my Mega Dev course on Building Agents, and I can't wait to show y'all what we can build with this kind of decision-making inside our applications. For now, let me go turn reasoning effort down a notch 😂 https://lnkd.in/e3XXNUeX

You're paying for 6 AI tools. And getting average results from all of them. That was me 60 days ago. Then I went all in on one ecosystem. Here's my full Claude setup: Chat: writing, research, ideation Polished outputs. Actual thinking. Not just answers. Chrome: research while browsing Summarizes pages. Extracts data. Turns messy workflows into SOPs. Cowork: execution Opens apps. Organizes files. Does my weekly reporting while I sleep. I stopped doing. Started directing. Code: build without coding Custom tools. Automations. Landing pages. Plain English. No developer needed. Why Claude over GPT or Gemini? The outputs hit different. Less robotic. More like talking to someone sharp. And switching from ChatGPT took 2 minutes. Imported my memory. Zero loss. The real lesson? Stop collecting tools. Pick one ecosystem. Go deep. That shift alone gave me hours back every week. Tell me in comments, are you still on ChatGPT or already switched? P.S. This post took 15 minutes. Claude didn't write it. It just made me faster.

Specificity – What’s My Theme? Yesterday we talked about the need for specificity in the foundational questions asked in the script development process. We tackled the first of four that tend to blur together. That question was – What’s it “about”? We used a new rendition of Little Red Riding Hood and identified that “gaining understanding” was what it is really “about.” However, that is not enough to carry your story. You need your own ANGLE on the central subject of gaining understanding. That angle is your theme. Theme is defined as: - A universal truth. - The central underlying idea, message or insight that the author wants to convey. - It is the “big idea” that the story explores. It can be a statement or a question. It is NOT plot points or events. So, for our story about Little Red Riding Hood and “gaining understanding” perhaps the underlying idea or message is - Don’t judge a book by its cover. This is the idea, or message, that we can make judgments about others because we lack understanding, but if we gained understanding perhaps we could get along better. The “about” or central subject is: gaining understanding. The theme - your angle on the subject is: Don’t judge a book by its cover. Both of these are different from our story spine, the topic we will discuss tomorrow. In the meantime, perhaps revisit the story you are working on. What is the theme - or message or question- you want to convey?

I let ChatGPT run my entire Wednesday. Here’s what happened. Wednesday morning. Inbox full. Tasks everywhere. Meetings stacked back 2 back. Instead of reacting, I did something different. I gave ChatGPT a 10-minute briefing and said “Plan my day. Draft my emails. Prepare my meeting agenda. And tell me 3 things I should NOT do today.” What came back : → A clear, time-blocked schedule from 9 to 6 → 3 ready-to-send email drafts → A structured meeting agenda with smart questions → 3 low-value tasks I was better off skipping The result? My Wednesday felt controlled. Focused. Almost like I had a personal assistant. Here’s the mistake most people make: They use ChatGPT like a search engine. One question. One answer. Done. But the real advantage comes when you treat it like a collaborator. Give it context. Give it goals. Give it constraints. No, it won’t be perfect. But it will get you 80% there in minutes. And that 80%? That’s where leverage lives. If you're a founder, operator, or just overwhelmed with too much on your plate… AI isn’t optional anymore. It’s an edge. Comment below for guidance on how to effectively prompt.