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2820 contributions to AI Money Lab
Why Most People Don’t Get Results with AI
One thing I’ve noticed about AI It’s not really about the tools themselves it’s about how you use them. Two people can have access to the same tools, but one gets real results while the other stays stuck trying to figure things out. The difference usually comes down to execution and consistency. Start small, test things, improve as you go. That seems to work better than trying to master everything at once. Just wondering… What’s one AI use case you’ve stuck with and actually works for you?
4 likes • 2d
@Shikenah Cervantes Exactly. A lot of people keep switching tools hoping the next one will magically fix everything. But most of the time the real issue is lack of consistency, testing, and repetition. Simple workflows repeated daily usually outperform complicated systems people never fully use.
0 likes • 3h
@Erlyn Dl I agree with this. The simplest AI workflow is usually one that solves one repeat problem for you every day. For most people, that is: AI for research, AI for drafting, then you do the final human edit.
Focus Beats Everything in AI Right Now
Something that doesn’t get talked about enough… AI can be overwhelming if you try to learn everything at once. New tools, new updates, new strategies every day it’s easy to feel like you’re always behind. But I’m starting to realize it’s better to slow down and focus on one or two things that actually help you. Build around that, and expand later. That way, you’re not just learning you’re actually getting results. Would love to know… What are you currently focusing on when it comes to AI?
4 likes • 2d
@Shikenah Cervantes Focus is probably one of the biggest advantages someone can have in AI right now. Most people never stay with one workflow long enough to improve it properly because they keep jumping to the next tool or trend. But real progress usually comes from repetition, testing, and refining simple systems over time.
0 likes • 3h
@Erlyn Dl AI moves so fast that chasing every update can feel productive while actually creating zero momentum. The people making real progress usually pick one useful system, improve it, and stay focused long enough for results to compound.
“Uncontrolled Growth”
- What happens if AI evolves beyond human understanding?
“Uncontrolled Growth”
4 likes • 9h
Interesting question. I think parts of AI already feel beyond full human understanding in some ways. Even the people building large models cannot always explain every exact decision or pattern inside them. But “beyond understanding” does not automatically mean “beyond control.”
3 likes • 3h
@Hannah J C Really thoughtful question. For me, alignment and control matter the most because raw capability without clear boundaries creates obvious risk fast. Transparency matters too, but in practical business use, people mainly need systems they can trust, monitor, and override when needed.
One thing I keep noticing with AI automation
The people getting the best results usually keep things simple first. Not bigger workflows. Not more tools. Just solving real problems step by step. A lot of the real value also comes from improving systems over time, not just building them once. What’s the biggest lesson you’ve learned from using AI automation so far?
One thing I keep noticing with AI automation
2 likes • 6h
This is so true. One of the biggest mistakes people make is overbuilding too early. The best AI automations usually start from one annoying manual task that gets solved really well. Then you improve and stack from there.
1 like • 3h
@Hannah J C Simple systems win a lot more than people think. Complex automations look impressive, but if they break constantly or nobody trusts them, they create more work instead of less.
NEW Hermes AI Browser Agent_ Automate ANYTHING
AI Training 👉 https://sanny-recommends.com/learn-ai Most AI browser tools still break the second something changes on a website. A button moves. A popup appears. A login flow changes. And suddenly the whole automation falls apart. Hermes Agent + Browser Harness changes that completely. This might be the most important open-source AI automation stack of 2026… and almost nobody is talking about it yet. Here’s what’s happening. Hermes Agent is an open-source self-improving AI agent framework from Nous Research. Browser Harness is a browser automation system built directly on Chrome DevTools Protocol with basically zero abstraction layers in between. Put them together and you get an AI agent that can actually use the web like a human. Not scrape websites. Actually use them. Logging in. Clicking through flows. Filling forms. Reading live pages. Scrolling. Retrying when something fails. Even fixing itself mid-task if a workflow breaks. That’s the part that blew my mind. Most browser automation tools rely on predefined scripts. If something changes… they fail. Browser Harness works differently. The AI agent can literally rewrite its own browser helpers while it’s running. If it hits an error, it reads the issue, updates the helper file, reconnects, and keeps going. No human needed. And because Hermes Agent sits on top of this, the system gets smarter over time. Every time the agent successfully figures out how a website works, it stores that knowledge as a reusable domain skill. So the next time it visits the same site… it already knows the flow. Already knows the selectors. Already knows how the login works. The workflow compounds instead of restarting from zero every session. That’s a huge shift. People are already using this for real workflows right now. One user built a system where Hermes reads saved X bookmarks every day, opens every linked article inside a real browser, extracts the full rendered content, summarizes it, and saves everything into a personal knowledge wiki automatically.
2 likes • 3h
@Mary Ann C The adaptiveness is the real breakthrough here. Traditional automations are useful until the environment changes, then someone has to babysit the whole thing. Self correcting systems with memory are much closer to how real digital workers should behave.
2 likes • 3h
@Erlyn Dl Really good question. I would start with workflows that are repetitive, browser heavy, and low risk if something goes wrong. Things like lead research, competitor monitoring, pulling data into reports, CRM updates, content publishing workflows, or admin tasks make a lot of sense first.
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Marge A
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@marge-arriola-5946
Learning with AI together

Active 2h ago
Joined Mar 16, 2026
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