13 Things Mentally Strong People Do

 

I spent 23 years in corporate leadership.

For most of it, I hid my struggles behind a smile.

I thought strength meant staying positive. Holding it all together. Handling everything on my own.

Turns out... that smile was a prison.

Real mental strength is being human, and doing it well.

13 things mentally strong people do.

1. They feel their emotions fully. Then they decide what to do with them.

2. They set boundaries even when it's awkward. Because disappointing others beats betraying yourself.

3. They own their mistakes without drowning in shame. "I messed up" is different from "I'm a mess up."

4. They celebrate others' wins without comparing. Someone else's win is proof it can be done.

5. They ask for help before they're desperate. Pride is expensive; connection is priceless.

6. They question their negative thoughts. A thought is an opinion, and opinions can be wrong.

7. They rest without calling themselves lazy. You're worth just as much at rest as at work.

8. They focus on what they control. Everything else is wasted energy.

9. They change their minds when they learn better. Growth requires letting go of old beliefs.

10. They seek discomfort on purpose. It's how the mind builds muscle.

11. They practice gratitude during hard times. Gratitude and pain can share the same day.

12. They protect their peace from energy vampires. Your mental health matters more than their opinion.

13. They forgive but remember the lesson. Let go of the grudge AND keep the boundary.

And I've learned that mental strength is contagious.

When you model these behaviors, others notice.

Your courage gives them permission to find their own.

Anyone can start. Anytime. Even today. Will you...

I'm working on #5. Which one hits home for you?

https://tinyurl.com/37khj3up

The Modern AI Ecosystem - Tools

 

𝐓𝐡𝐞 𝐀𝐈 𝐬𝐭𝐚𝐜𝐤 𝐠𝐨𝐭 𝐜𝐨𝐦𝐩𝐥𝐢𝐜𝐚𝐭𝐞𝐝. 
𝐓𝐡𝐚𝐭'𝐬 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐭𝐡𝐞 𝐛𝐞𝐬𝐭 𝐧𝐞𝐰𝐬 𝐟𝐨𝐫 𝐚𝐧𝐲𝐨𝐧𝐞 𝐬𝐞𝐥𝐥𝐢𝐧𝐠 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧.

Look at this map. Eighteen months ago, "AI strategy" meant picking a foundation model and hoping for the best.
Today it's an ecosystem:
→ LLMs (OpenAI, Claude, Gemini, Llama...) as the raw intelligence layer
→ Agentic frameworks (LangGraph, CrewAI, AutoGen) turning that intelligence into action
→ RAG and Embeddings making it your company's knowledge, not generic knowledge
→ MCP standardizing how agents talk to tools and systems
→ Security and Observability layers (Guardrails, LangSmith, Presidio) because nobody serious deploys AI blind
→ Memory and Vector Databases giving agents continuity instead of amnesia
→ Automation (n8n, Zapier, Airflow) stitching it all into actual business workflows
Nine categories. Over 80 tools. And most enterprises I talk to in banking, insurance, and fintech are still stuck asking, "Should we use ChatGPT or Copilot?"
That question is already obsolete.
The real question is: 𝐰𝐡𝐢𝐜𝐡 𝐥𝐚𝐲𝐞𝐫𝐬 𝐨𝐟 𝐭𝐡𝐢𝐬 𝐬𝐭𝐚𝐜𝐤 𝐝𝐨𝐞𝐬 𝐲𝐨𝐮𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐧𝐞𝐞𝐝, 𝐢𝐧 𝐰𝐡𝐚𝐭 𝐬𝐞𝐪𝐮𝐞𝐧𝐜𝐞, 𝐚𝐧𝐝 𝐰𝐡𝐨'𝐬 𝐠𝐨𝐢𝐧𝐠 𝐭𝐨 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐭𝐡𝐞𝐦 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐜𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐚 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐧𝐢𝐠𝐡𝐭𝐦𝐚𝐫𝐞?
That's not a model selection problem. That's an architecture and change management problem — and it's exactly where consulting-led digital transformation earns its keep.
The companies winning right now aren't the ones with the flashiest LLM. They're the ones who understood early that AI maturity is a stack, not a single decision.
𝑾𝒉𝒆𝒓𝒆 𝒅𝒐𝒆𝒔 𝒚𝒐𝒖𝒓 𝒐𝒓𝒈𝒂𝒏𝒊𝒛𝒂𝒕𝒊𝒐𝒏 𝒔𝒊𝒕 𝒐𝒏 𝒕𝒉𝒊𝒔 𝒎𝒂𝒑 — 𝒔𝒕𝒊𝒍𝒍 𝒂𝒕 𝒕𝒉𝒆 𝑳𝑳𝑴 𝒍𝒂𝒚𝒆𝒓, 𝒐𝒓 𝒂𝒍𝒓𝒆𝒂𝒅𝒚 𝒃𝒖𝒊𝒍𝒅𝒊𝒏𝒈 𝒕𝒉𝒆 𝒂𝒈𝒆𝒏𝒕𝒊𝒄, 𝒔𝒆𝒄𝒖𝒓𝒆, 𝒐𝒃𝒔𝒆𝒓𝒗𝒂𝒃𝒍𝒆 𝒔𝒕𝒂𝒄𝒌 𝒂𝒓𝒐𝒖𝒏𝒅 𝒊𝒕?

https://lnkd.in/p/dmUAxSEf

The countries that consumes the most of beer in the world

 

🚰 Countries with the safest drinking water (EPI 2026)

 The Yale Environmental Performance Index (EPI) is a data-driven method that ranks countries on environmental health and ecosystem vitality. Produced biennially by Yale University and Columbia University, it provides a scorecard that helps nations see how close they are to established environmental policy goals.

---

How the EPI is Determined

The index uses a hierarchical framework to calculate an overall score out of 100 for each country.

1. Core Policy Objectives

The EPI evaluates performance across two primary objectives:

• Environmental Health: Measures threats to human health, such as air quality, drinking water safety, and heavy metal exposure.
• Ecosystem Vitality: Measures the health of natural systems and resources, including biodiversity, forests, fisheries, agriculture, and climate change mitigation.

2. Indicators and Data Collection

• 30+ Performance Indicators: The two core objectives are broken down into specific categories (e.g., Climate Change, Air Quality, Sanitation & Drinking Water). These categories are measured using dozens of precise data points.
• Global Data Sources: The data is pulled from third-party research institutions, international organizations (like the UN and WHO), and government agencies.

3. Scoring Methodology

• Proximity-to-Target: Instead of just comparing countries against each other, the EPI uses a "proximity-to-target" methodology.
• Baseline Benchmark: Each indicator has a specific target based on international treaties, scientific consensus, or best practices (e.g., zero carbon emissions or 100% access to safe sanitation).
• Final Score: A country’s score reflects how close or far it is from achieving that ideal target. A score of 100 means a country has fully met the environmental goal for that category.

The snowest countries

 

Cooking meals - 2

 

A cool guide to differentiating prawns for cooking

The Musk system

 

12 little habits that will change your life.

 

These daily practices take minimal time
but deliver exponential returns.

I've tested them and seen the impact:

1️⃣ Exercise Session
Even 20 minutes moves the needle.
It's not about getting ripped.
It's about showing up for yourself first thing.

2️⃣ 2-Minute Rule
Procrastinating the tiny tasks keeps them
in your head. If it takes 2 minutes, do it now.

3️⃣ Gratitude Practice
List 3 things you're grateful for each morning.
It rewires your brain to spot opportunities
instead of obstacles.

4️⃣ 4-7-8 Breathing
Breathe in for 4, hold for 7, exhale for 8.
Use it before big meetings or whenever
tension hits.

5️⃣ Meeting Breaks
Back-to-back meetings kill productivity.
Those 5-minute gaps are essential recovery periods.

6️⃣ 6-Second Pause
The space between stimulus and response
is your power zone.
That tiny pause prevents reactive decisions.

7️⃣ Water Intake
Your brain is 73% water. Even mild dehydration
tanks your decision-making.

8️⃣ Sleep Commitment
Sleep deprivation isn't a badge of honor.
Prioritize quality sleep to be at your best
for yourself and others.

9️⃣ Daily Meditation
9 minutes to reset your mental operating system.
You don't need to empty your mind.
Just observe it.

🔟 Movement Goal
10,000 steps seem daunting?
Walk while you take calls. Use a standing desk.
Small movement adds up.

1️⃣1️⃣ Skill-Building
11 minutes learning something new.
A language, a skill, a concept.
Compound interest works for knowledge too.

1️⃣2️⃣ Reading Practice
12 pages daily is 24 books a year.
Leaders are readers. Make it non-negotiable.

Small steps compound over time.

Pick one habit. When you're ready, add another.

I've seen my life transform.

Watch yours do the same, one tiny change at a time.

P.S. What daily habit has helped you most?

https://tinyurl.com/e5vkxx66

12 mental traps holding you back

 

Your brain is a liar sabotaging you on the daily.

Don't let faulty patterns hold you back from growth.

Cognitive distortions are automatic thinking patterns your brain runs on repeat.

They helped our ancestors survive threats.


Today, they keep you stuck, anxious, and making decisions based on warped reality.

They're sneaky, common, and they keep you stuck.

But you can rewire them once you spot them.

Here are 12 to watch for and how to stay safe from them:

1/ Mind reading
❌ Assuming you know what others are thinking/feeling
✅ Ask directly instead of guessing what's in someone's head

2/ Negative focus
❌ Ignoring positive aspects & only seeing negative ones
✅ Write down three things that went well today before bed

3/ Catastrophizing
❌ Expecting the worst case scenario to happen to you
✅ Ask yourself what's most likely to happen, not what's most dramatic

4/ Labeling
❌ Labeling yourself or someone negatively
✅ Replace labels with specific behaviors you can actually change over time

5/ Should-thinking
❌ Having rigid rules or "shoulds" about things or people
✅ Replace "should" with "could" to open up more possibilities for yourself

6/ Overgeneralizing
❌ Believing a single negative event is a pattern
✅ Look for exceptions and times when the opposite was true

7/ Emotional reasoning
❌ Believing that how you feel is equal to reality
✅ Separate your feelings from facts and look for objective evidence

8/ Fortune-telling
❌ Thinking the future is set & you know what it is
✅ Remind yourself that you can't predict the future with certainty

9/ Personalization
❌ Feeling responsible for things you can't control
✅ Ask yourself what's actually within your control and what isn't

10/ Owning the truth
❌ Being certain you are right & your opinion is the truth
✅ Get curious about other perspectives and stay open to being wrong

11/ Just-world thinking
❌ Assuming that everything will be balanced fairly
✅ Accept that life isn't always fair and focus on what you can influence

12/ Control fallacy
❌ Assuming you can control everything in your life
✅ Practice letting go of things outside your control and focus your energy wisely


Your thoughts aren't always facts.

Learning to spot these patterns is the first step to thinking more clearly and acting more confidently.

Which one do you catch yourself doing most?

https://tinyurl.com/2jremvba

Master Claude

 

Most people think they’re leveraging AI… but in reality, they’re just chatting with it.

This framework completely reframes how serious professionals should be using AI.

Not as a tool.
But as an operating system for thinking and execution.

✳️ Here’s the deeper insight most people miss 👇

We treat AI like a search engine—quick questions, quick answers, then we move on.
But high-leverage users don’t rely on isolated prompts.

They build systems that think with them.

This framework is built on that exact philosophy:

1. Environment matters more than prompts
If you’re using AI casually (browser, mobile, quick chats), you’re already limiting its potential.
Serious work requires a dedicated setup—where AI can handle files, context, and continuity.

2. Modes define outcomes
Not all AI interactions are equal:
• Chat → quick, low-stakes thinking
• Projects → structured, repeatable work
• Deep work (Cowork) → actual execution with files and context

Most people stay stuck in “chat mode” and wonder why results feel shallow.

3. Structure creates clarity
Instead of messy conversations, you design a workspace:
• ABOUT ME → your voice, standards, priorities
• PROJECTS → where real work evolves
• TEMPLATES → reusable frameworks
• OUTPUTS → clean, final deliverables

This turns AI from reactive → organized and intentional

4. Replace prompts with core instruction files
This is the real shift.

Stop writing 50 different prompts.
Create 1–2 powerful files that define:
• How AI should think
• What it should avoid
• What quality looks like

One strong foundation beats endless trial-and-error.

5. Let AI guide your thinking
At the highest level, you stop “asking” AI what to do.

Instead:
AI suggests → you refine → AI executes

It becomes a collaborator, not a tool.

6. Integrate, don’t isolate
When connected to tools like Google Drive, Slack, and Notion, AI stops being a separate tab.

It becomes embedded into your daily workflow.

7. The endgame is automation with intelligence
Imagine waking up to:
• Structured outputs ready
• Projects already progressed
• Clear briefs waiting for execution

That’s not productivity.

That’s leverage.

✅️ The biggest takeaway?

Your knowledge is valuable.
But unstructured knowledge doesn’t scale.

When you document your thinking, organize your workflows, and train AI around it…

You don’t just use AI.

You multiply your capability.


😅 Most people will continue writing random prompts.

A few will build systems.😎

Those few will outperform everyone else.🤓

Where do you stand right now? 🤔

https://tinyurl.com/3nw45a7j

Cognitive Biases in UX design and research

 

Why knowing about cognitive biases is important?

Cognitive Psychology and UX design are two closely related fields: users apply their cognitive functions during their interaction with digital products (services).

Cognitive biases are shortcuts, distortions in our perceptions, parts of our cognitive activity. The important thing to understand here is that biases are not necessarily bad: as Rüdiger F. Pohl expresses in his book, Cognitive Illusions:

“The question of whether a decision, judgement, or memory is “correct” (in a normative way) is usually secondary to the question of whether that decision, judgement, or memory is helpful in the current situation.”

So by understanding the effects of the most relevant cognitive biases, we can improve user experience not only by trying to avoid the possible negative consequences, but also by taking advantage of them!

Another significant aspect is that we, designers also have cognitive biases, so we need to pay attention to these during the research and design process.

Cognitive Biases: the first 6

The second part of the Cognitive Bias UX Knowledge Base Sketch series describes 6 cognitive biases:

• Dunning-Kruger Effect
• Information Bias
• Loss Aversion
• Confirmation Bias
• Distinction Bias
• Negativity Bias

All these have important implications on how we should design with the users’ cognitive tendencies in mind.

Cognitive Biases: 6 more to explore

The third part of the Cognitive Bias UX Knowledge Base Sketch series describes these cognitive biases:

• Framing Effect
• Bandwagon Bias
• Focusing Effect
• Outcome Bias
• Anchoring Effect
• Selection Bias

Cognitive Biases: 6 more to explore

The fourth part of the Cognitive Bias UX Knowledge Base Sketch series describes these cognitive biases:

• IKEA Effect
• Survivorship Bias
• Ambiguity Effect
• Peak-End Rule
• Observer-Expectancy Effect
• Attentional Bias

Cognitive Biases: 6 more to explore

The fifth (and for now the last) part of the Cognitive Bias UX Knowledge Base Sketch series describes these cognitive biases:

• False Consensus Effect
• Sunk Cost Bias
• Clustering Illusion
• Social Desirability Bias
• Empathy Gap
• Fundamental Attribution Error

Recommended Reading & Useful Links

• Ariely, D. (2010). Predictably Irrational: The Hidden Forces That Shape Our Decisions
• Phol, F. R. (2005). Cognitive Illusions: A Handbook on Fallacies and Biases in Thinking, Judgement and Memory
• Gilovich, T.; Griffin, D.; Kahneman, D. (2002). Heuristics and Biases: The Psychology of Intuitive Judgment
• Kahneman, D. (2013). Thinking, Fast and Slow
• 67 Ways to Increase Conversion with Cognitive Biases
• The Importance of Cognitive Bias in Experience Design
• Are we in control of our own decisions? — TED Talk by Dan Ariely
• Tversky, A.; Kahneman, D. (1991.) Loss Aversion in Riskless Choice: A Reference-Dependent Model
• Kruger J.; Dunning D., (1999). Unskilled and unaware of it: how difficulties in recognizing one’s own incompetence lead to inflated self-assessments.
• Hsee C. K.; Zhang, J. (2004). Distinction Bias: Misprediction and Mischoice Due to Joint Evaluation
• Does comparison really lead to better choices?
• The Negativity Bias in User Experience
• Don’t Let Your Brain Deceive You: Avoiding Bias In Your UX Feedback
• 67 Ways to Increase Conversion with Cognitive Biases
• Prospect Theory and Loss Aversion: How Users Make Decisions
• Tversky, A., Kahneman, D. (1981). The Framing of decisions and the psychology of choice
• Kahneman, D., Krueger, A. B., Schkade D., Schwarz N., Stone, A. A. (2006). Would you be happier if you were richer? A focusing illusion
• Cherubini, P., Mazzocco, K., Rumiatic, R. (2002). Rethinking the focusing effect in decision-making
• Baron, J., Hershey, J. C. (1988). Outcome bias in decision evaluation
• Decision Frames: How Cognitive Biases Affect UX Practitioners
• 67 Ways to Increase Conversion with Cognitive Biases
• Reward Framing & Its Stunning Impact On Conversion Optimization: What You Need To Know
• The Bandwagon Bias — The Dangers of Groupthink
• Empty Your Cup: How to Address Biases in UX
• Outcome Bias — Not All Outcomes are Created Equal
• The Types of Cognitive Biases that You Need to be aware of as a Researcher
• Overcoming Cognitive Bias in User Research
• 4 basic problems cause all the cognitive biases that screw up our judgement
• User Memory Design: How To Design For Experiences That Last
• Design principles: Selection bias
• Avoiding Bias from the Survivor Effect
• Overcoming survivorship bias in data-driven experience design
• Overcoming bias in research and product design
• 6 common cognitive biases UXers should know
• Cognitive Biases in Digital: Why users are irrational and how to design for it (Part 1)
• Attentional Bias and Your Decisions
• Aronson, E. (2008). The Social Animal 10th Edition, p167
• Cognitive psychology for UX: how to avoid the false consensus effect
• You Are Not the User: The False-Consensus Effect
• Don’t Let Your Brain Deceive You: Avoiding Bias In Your UX Feedback
• You Are Not Your User
• Cognitive biases in user research — 2
• Sunk-Cost Fallacy: How to Avoid Bias Based on Past Decisions
• Design principle: Know when to quit
• The Types of Cognitive Biases that You Need to be aware of as a Researcher
• Psycho Wednesday #2 Clustering illusion
• 18 Cognitive Biases You Can Use for Conversion Optimization
• UX & Social Desirability
• 9 Biases In Usability Testing
• 6 common cognitive biases UXers should know
• Overcoming the social desirability bias in UX research
• Empathy Gap
• Cognitive Biases in Digital: Why users are irrational and how to design for it (Part 2)
• UX 6 of 10: The Fundamental Attribution Error
• The Fundamental Attribution Error
• Fundamental Attribution Error and the User

Krisztina Szerovay

https://tinyurl.com/3rryezet