u/Individual-Cheek8840

Sometimes, it is really hard to get the SMS Code, especially when travelling.

I keep going back and forth on LinkedIn.

On one hand, the feed can be painful. So many posts feel exaggerated, fake-positive, or written like everyone is trying to become a thought leader.

On the other hand, I know people do get jobs, clients, and connections from it.

So for people who still use it regularly, what is the real value for you?

Not the official answer. I mean how you actually use it.

I’ve been thinking about how much small wins matter.

When I work on a long-term goal, I get anxious if I only focus on the final outcome. The goal feels too far away, and progress feels unclear.

I noticed this while creating content. At first, I was just experimenting and didn’t feel much pressure. But once I started making some progress, I began checking views, followers, and growth too often. The bigger goal started to feel heavy.

What helped was shifting my attention from the final result to smaller process goals.

What can I finish this week?
What can I improve today?
What small step would count as real progress?

Those small wins gave me more motivation than constantly staring at the big milestone.

It’s like running a marathon. Thinking about the remaining distance can be exhausting. Focusing on the next step is easier.

How do you create small wins or feedback loops that keep you going?

I noticed something while working on a long-term goal.

At first, I was just experimenting and didn’t feel much pressure. But once I started making some progress, I became more anxious because I kept checking the bigger outcome.

Follower count, views, milestones, growth — all of that started to take up more attention than the actual work.

What helped a bit was shifting from outcome goals to process goals.

Instead of asking “when will I reach the big milestone?” I started asking:

What can I finish this week?
What topic can I complete today?
What can I improve in the next attempt?
What small result would show that I’m still moving?

The strange thing is, once I focused more on small controllable goals, the bigger goal felt less heavy. At the same time, I kept getting better progress, even surprises.

How do you break long-term goals into smaller wins without losing sight of the bigger direction?

I’m trying to get better at prioritizing, but I keep running into the same problem.

Some tasks have clear deadlines, so they feel urgent.

Some tasks are genuinely important, but because there’s no deadline, they keep getting pushed back.

Some small tasks are not very important, but if I ignore them, they start creating mental clutter.

And then there are long-term goals that matter a lot, but they almost never feel urgent enough to win the day.

So I’m curious how other people decide what to work on first.

Do you prioritize by deadline, importance, energy level, consequences, long-term value, or something else?

When everything feels like it matters, what actually helps you choose?

I keep writing down tasks or ideas that feel important in the moment, but then a few days later I realize many of them are still sitting there untouched.

Usually something “more important” comes up, and the note just gets pushed down.

So now my notes are partly useful, partly a graveyard of unfinished intentions.

For people who manage this well, what’s your system?

Do you review notes every day, schedule them right away, move tasks somewhere else, or just delete anything you don’t act on quickly?

I’ve been thinking about a weird downside of using AI. Sometimes it makes me feel productive because I get answers quickly, summaries instantly, or a clean draft in seconds.

But later I realize I didn’t actually understand the topic better, make a better decision, or move the real work forward that much.

It can create the feeling of progress before there is real progress.

For example:

• reading AI summaries instead of thinking through the material
• generating drafts that still need heavy rewriting
• asking for too many options and delaying a decision
• feeling “prepared” because AI explained something clearly
• spending more time prompting than doing the actual work
• accepting a polished answer before checking if it is correct

AI is still useful for me, but I’m starting to notice that “fast output” and “real progress” are not always the same thing.

Have you experienced this? When does AI make you feel productive without actually helping much?

AI is usually discussed as a productivity booster, but I’m curious about the opposite side.

Has AI ever made your work or learning worse instead of better?

I don’t mean big dramatic failures. I mean the small real situations where AI seemed helpful at first, but ended up creating more work or worse results.

For example:

• giving a confident but wrong answer
• making you skip the thinking process while learning
• producing generic writing that needed heavy rewriting
• adding too much context/setup before it becomes useful
• making a simple task more complicated
• giving you too many options and slowing down decisions
• creating output that looked polished but was actually shallow

For me, AI can be useful as a first-draft or organizing tool, but when I treat it as the final answer, it sometimes makes the work worse.

Have you had a case where AI actually made things worse? What happened?

I keep running into one problem where I save a lot of small bits of information, but later I can’t really find or use them.

A line from a book, a good Reddit comment, something from a podcast, a work tip, a random idea I had during the day. It all feels useful at the moment, but then it ends up scattered across screenshots, notes, bookmarks, and memory.

Recently, I’ve been trying a small change.

Instead of saving things by where I found them, I try to save them by what I might use them for.

Work ideas.
Things to try.
Things to write about.
Questions I want to think about later.

It’s not a perfect system, but it makes the notes feel less like a messy pile and more like something I might actually come back to.

Curious how other people deal with this. Do you have a system for organizing random information, or do you mostly just save things and hope you can find them later?

For a long time I thought I was learning because I was saving a lot of useful things.

Articles, videos, Reddit posts, podcast episodes, book recommendations, productivity tips. My saved folder kept getting bigger, so it felt like I was making progress.

But when I actually needed to use that knowledge, I often could not remember much. I had saved the idea, but I had not really processed it.

At some point I looked at my bookmarks and realized most of them were not a learning system. They were more like a graveyard of good intentions.

So I started using a simple rule:

If I save something, I have to do one small action with it.

Not a big action. Just something that turns it from passive collection into active learning.

For example:

I summarize the main idea in my own words.

I write down one way I could apply it.

I test one small tip the same day.

I explain the idea to someone else.

Or I decide it is not actually useful and delete it.

The first week felt uncomfortable because saving content gives a quick feeling of progress. Acting on it takes more effort. But I noticed something important: I started saving less and learning more.

Now before I save anything, I ask myself:

“What will this change in what I do?”

If I cannot answer that, maybe I am not learning. Maybe I am just collecting.

I still read and watch a lot of things, but I try not to confuse exposure with understanding. Real learning seems to start when the information changes how I think, decide, or act.

Have you ever felt like you were collecting resources instead of actually learning from them? What helped you break that habit?

For a long time I thought I was learning because I was saving a lot of useful things.

Articles, videos, Reddit posts, podcast episodes, book recommendations, productivity tips. My saved folder kept getting bigger, so it felt like I was making progress.

But when I actually needed to use that knowledge, I often could not remember much. I had saved the idea, but I had not really processed it.

At some point I looked at my bookmarks and realized most of them were not a learning system. They were more like a graveyard of good intentions.

So I started using a simple rule:

If I save something, I have to do one small action with it.

Not a big action. Just something that turns it from passive collection into active learning.

For example:

I summarize the main idea in my own words.

I write down one way I could apply it.

I test one small tip the same day.

I explain the idea to someone else.

Or I decide it is not actually useful and delete it.

The first week felt uncomfortable because saving content gives a quick feeling of progress. Acting on it takes more effort. But I noticed something important: I started saving less and learning more.

Now before I save anything, I ask myself:

“What will this change in what I do?”

If I cannot answer that, maybe I am not learning. Maybe I am just collecting.

I still read and watch a lot of things, but I try not to confuse exposure with understanding. Real learning seems to start when the information changes how I think, decide, or act.

Have you ever felt like you were collecting resources instead of actually learning from them? What helped you break that habit?

For a long time I thought I was learning because I was saving a lot of useful things.

Articles, videos, Reddit posts, podcast episodes, book recommendations, productivity tips. My saved folder kept getting bigger, so it felt like I was making progress.

But when I actually needed to use that knowledge, I often could not remember much. I had saved the idea, but I had not really processed it.

At some point I looked at my bookmarks and realized most of them were not a learning system. They were more like a graveyard of good intentions.

So I started using a simple rule:

If I save something, I have to do one small action with it.

Not a big action. Just something that turns it from passive collection into active learning.

For example:

I summarize the main idea in my own words.

I write down one way I could apply it.

I test one small tip the same day.

I explain the idea to someone else.

Or I decide it is not actually useful and delete it.

The first week felt uncomfortable because saving content gives a quick feeling of progress. Acting on it takes more effort. But I noticed something important: I started saving less and learning more.

Now before I save anything, I ask myself:

“What will this change in what I do?”

If I cannot answer that, maybe I am not learning. Maybe I am just collecting.

I still read and watch a lot of things, but I try not to confuse exposure with understanding. Real learning seems to start when the information changes how I think, decide, or act.

Have you ever felt like you were collecting resources instead of actually learning from them? What helped you break that habit?

I use notes all the time, but I’m starting to realize that saving information is not the same as actually using it.

I write down ideas, tasks, quotes, things to read later, random thoughts, work notes, personal reminders, and sometimes even half-formed plans. At first it feels productive because I’m “capturing” everything.

But after a while, my notes become another place where information goes to disappear.

For people who have a note-taking system that actually works in daily life:

How do you decide what is worth writing down?

How do you review or reuse your notes later?

Do you organize everything carefully, keep it simple, or delete most things after a while?

I’m not really looking for the perfect app. I’m more interested in the habits and rules that stop notes from becoming digital clutter.

I’ve realized that being productive is not only about doing tasks faster, but also about finding the right information faster.

Sometimes I waste a lot of time searching online, opening too many tabs, reading random posts, comparing conflicting answers, and still not knowing what information is actually reliable or useful.

I’m not talking about just typing better keywords into Google. I mean the deeper skill of knowing:

• what to search for
• which sources to trust
• how to avoid low-quality or recycled content
• how to compare different answers
• when to stop researching and start acting

For people who are genuinely good at finding useful information online, what trained this skill for you?

Do you have a process, checklist, mental model, or daily habit that helped you become better at searching, filtering, and using information?

AI agents seem to be the current big trend.

A lot of tools are now adding agent-like features: planning tasks, using tools, browsing, coding, automating workflows, or taking multi-step actions.

But I’m curious what comes next.

After agents, what do you think the next major AI trend will be?

Some possibilities I can think of:

• AI operating systems
• personal AI assistants with long-term memory
• local/offline AI models
• AI embedded into every business workflow
• multi-agent teams
• AI-native apps instead of AI features added to old apps
• better human-AI collaboration tools

What do you think is the next real trend after agents — not just hype?

I’m curious about the practical side of AI.

A lot of discussions focus on tools, prompts, or new features, but I’m more interested in the actual problems people are solving with AI in daily work or life.

For example:

• saving time on repetitive tasks
• summarizing long documents
• turning messy notes into plans
• writing first drafts
• analyzing data or reports
• automating small business workflows
• learning, coding, research, or decision-making

For me, the biggest value is not that AI gives a perfect final answer, but that it helps me organize messy information faster and get started without staring at a blank page.

What real problem has AI helped you solve recently?

I’m curious about realistic ways people are using AI to make money — not the “get rich quick” type of advice.

I see a lot of people talking about AI side hustles, but many of them sound too vague or overhyped.

For those who have actually made money with AI, what worked for you?

For example:

• selling a service improved by AI
• creating content faster
• building small tools
• automating client work
• using AI for research, reports, design, coding, or marketing

I’m more interested in practical examples than big claims.

What AI monetization path feels realistic in 2026?