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05/28/2026

Anthropic just made agentic automation way more accessible.

Here's what you need to know about managed agents in the cloud.

Right now, if you want to run agentic workflows in Claude Code or Co-work, your computer has to stay open and connected. You can set up scheduled tasks, give it instructions and tools, but it all runs locally on your machine.

Anthropic's managed agents change that.

They run on Anthropic's servers instead of your hardware. That means you can set up workflows to connect to Gmail, your calendar, project management systems, or whatever else you need. The agent does its task and reports back with the output wherever you need it.

No computer sitting open 24/7. No worrying about internet connections. No server management.

This is huge for people who want to implement agentic workflows but don't have their own infrastructure. It removes the technical barrier that's been keeping a lot of businesses from taking advantage of these tools.

We're seeing AI automation become more accessible every single week.

If you'd like to learn more about AI or AI automation, give me a follow. All I do is education on this channel.

05/27/2026

AI pricing is about to change. Here's why.

Right now, you're getting AI at artificially low prices. OpenAI, Anthropic, and other AI labs are burning through VC cash to get you hooked on their products.

It's the classic Uber playbook: offer dirt cheap service until everyone adopts it, then raise the prices once you're locked in.

The true cost to run these models is WAY higher than what you're paying. That gap? It's being filled by venture capital firms betting on future returns.

But eventually, the bill comes due.

If you're building your business around AI tools, you need to plan for this. The current pricing won't last forever. Factor in potential price increases when you're calculating ROI on AI automation.

The good news? Even at higher prices, AI will likely still save you money compared to traditional alternatives. You just need to be strategic about which tools you adopt and how you use them.

What are you doing to prepare for rising AI costs?

05/26/2026

Stop locking yourself into one AI platform.

OpenAI's new workspace agents are cool. You upload files, they store them in the cloud, and your agent can access them whenever you need. Simple.

But here's the problem: what happens when OpenAI changes their model and it doesn't work as well anymore? Or when Claude or Gemini becomes the better option for your use case?

All your data is stuck in OpenAI's ecosystem. You can't easily move to another provider.

Here's what you should do instead:

Store your markdown files and documents locally on your machine. Not in OpenAI's cloud. Not in Claude's system. On YOUR computer.

This way, you can point ChatGPT at those files today, Claude tomorrow, or Gemini next week. It doesn't matter which model you're using because you own the data and it lives with you.

You stay flexible. You stay in control. You're not married to one company's platform.

This is how you future-proof your AI workflows.

Have you tried this approach yet?

05/25/2026

OpenClaw isn't dead, but it's definitely lost momentum.

Peter Simeburger is still putting in the work with constant updates and commits. But here's the problem: every update seems to break something else.

The Reddit threads are filling up with frustrated users who can't keep their setups running smoothly.

The reality is that OpenClaw is still too technical for most people. The setup is complicated. The troubleshooting is time-consuming. And most business owners don't have the technical skills or the patience to debug things constantly.

This is the gap between "cool AI tool" and "practical business solution."

For something to really stick in the business world, it needs to work consistently without requiring a computer science degree to maintain it.

OpenClaw had a ton of hype earlier this year, but without easier implementation, it's going to keep losing ground to simpler alternatives.

Have you tried OpenClaw? What's been your experience?

05/23/2026

Here's why Claude's real-time voice feels slower than ChatGPT.

It's all about the architecture.

Claude has to transcribe your audio into text first, process it, then generate audio back to you. It's a sequential process.

OpenAI does it simultaneously. They're transcribing and sending audio at the same exact moment - it's a true two-way street happening in real time.

So why isn't Anthropic prioritizing this?

They're playing a different game. While OpenAI is going after the masses with flashy features (because they're the household name), Anthropic is laser-focused on model intelligence, reasoning, and tool calling quality.

ChatGPT wants to wow everyone. Claude wants to be the smartest in the room.

Both strategies work. It just depends on what you need for your use case.

If you're building complex workflows that require serious reasoning? Claude's probably your pick.

If you want cutting-edge voice interaction and consumer-friendly features? OpenAI's got you covered.

What's your take - do you prefer the flashy features or the raw intelligence?

05/22/2026

Stop judging AI by its edge cases.
That viral video of ChatGPT failing the "should I walk 50 feet to the car wash" question? Yeah, it's funny. But it's not the full story.
Here's what people miss: AI doesn't think like we do. It processes information differently. And while it might stumble on a common-sense question, it can solve theoretical math problems in seconds that would take humans months.
The models are getting better every day. Those weird edge cases? They're disappearing fast.
If you're still testing ChatGPT with trick questions instead of using it to solve real business problems, you're missing the point entirely.
Ask it to help with complex analysis. Use it for strategic planning. Let it tackle the hard stuff.
That's when you'll have your light bulb moment and realize just how powerful this technology actually is.
What type of problems are you using AI to solve?

05/21/2026

The "AI arbitrage" courses are setting people up to fail.

Here's the reality: yes, you can technically charge businesses $2,000/month to manage their AI systems. But if you don't actually know how to fix things when they break, you're going to burn bridges fast.

These courses promise you can make $10K-$20K/month and hand everything off to a VA or let AI do all the work. But the second something goes out of bounds, that business owner is looking at you for answers.

And if you can't fix it? You've just damaged your reputation AND made everyone operating legitimately in this space look bad.

If you want to consult in AI, learn the actual skills first. Understand how the tools work. Know how to solve problems when things go wrong.

Don't just buy a course that teaches you how to sell something you can't deliver.

Build real knowledge. Provide real value. That's how you create something sustainable.

What are your thoughts on these "arbitrage" programs?

05/20/2026

How do you tell the difference between useful AI and AI hype?

It's simple. Can it deliver something that doesn't need your constant babysitting?

Here's what I see happening: People are copying raw AI outputs and passing garbage straight to their coworkers. That's not useful AI. That's just passing the buck.

Real, useful AI looks different:

You've tuned your prompts
You've added the right context
You've built your knowledge files
You've nailed the tone of voice
You've systematized your workflows
You've tested everything multiple times
You're confident in the output quality
That's the difference between AI that creates real value and AI that just creates more work.

Stop treating AI like a magic button. Treat it like a tool that needs proper setup and testing before it can actually help your business run better.

Have you taken the time to properly set up your AI workflows, or are you still just copying and pasting raw outputs?

If you want to learn more about AI and AI automation, give me a follow. All I do is education on this channel.

05/19/2026

YouTube is finally cracking down on faceless AI channels, and honestly, it's about time.

95% of these channels are just noise. Low-value content pumped out by automations with zero human touch. And don't even get me started on the courses teaching people how to spam the internet with this stuff.

Here's the thing: AI is an incredible tool when you use it to do MORE with your time, not less with your integrity.

Use AI to improve your business processes. Use it to personalize customer experiences. Use it to solve real problems for real people.

But please, don't use it to flood platforms with garbage content just because you can.

The internet doesn't need more noise. It needs more signal.

If you want to learn how to use AI the right way—to actually add value and build something meaningful—give me a follow. All I do is education on this channel.

05/18/2026

This is a classic case of performance vs. value.

Claude might compute the best, but your dollar doesn't go as far with their max plan.

Yes, Claude has some of the best reasoning and coding capabilities out there. But if you're hitting usage limits constantly because of their compute constraints, you're not actually getting more done with less effort.

For most businesses, you need to think about ROI here. Ask yourself:

How often am I hitting limits?
Is the quality difference worth the price premium?
Could I get 90% of the results with a more cost-effective option?
Sometimes the "best" model isn't the best choice for your business. It's about what gets the job done efficiently and consistently.

What's your experience been? Are you finding Claude's max plan worth it or are you constantly running into walls?

05/17/2026

Here's a real use case that saved me hours of manual work.

I had to work with a 49-slide PowerPoint presentation. Full fiscal year earnings. Extremely data-heavy.

Instead of manually typing numbers from each slide into a spreadsheet, here's what I did:

Converted the PowerPoint into images
Put all images in a single folder
Pointed Claude at that folder
Told Claude to extract every data point and organize it in Excel
Claude read through all 49 images, created separate tabs in the workbook, and populated everything with the data from the slides.

From there, I built an HTML dashboard. That information-heavy PowerPoint is now interactive charts and graphs that tell a much clearer visual story.

This is the type of automation that actually moves the needle in your business. You're not just saving time—you're creating better outputs.

Have you tried using Claude for data extraction yet?

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