Tuesday, February 17, 2026

Module 2 - Quiz (Design, Develop, and Deploy Multi-Agent Systems with CrewAI)

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Course: Design, Develop, and Deploy Multi-Agent Systems with CrewAI
Module 2: Working with AI Agents

Monday, February 16, 2026

Going to office - minimize the travel cost (Super Easy)

Index of "Algorithms: Design and Analysis"
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All Tracks > Basic Programming > Operators > Basics of Operators

Solve on HackerEarth


Problem
Alice has the following two types of taxis:

Online taxi: It can be booked by using an online application from phones 
Classic taxi: It can be booked anywhere on the road
The online taxis cost 
 for the first 
 km and 
 for every km afterward. The classic taxis travel at a speed of 
 km per minute. The cost of classic taxis are 
, 
, and 
 that represents the base fare, cost for every minute that is spent in the taxi, and cost for each kilometer that you ride.

You are going to the office from your home. Your task is to minimize the cost that you are required to pay. The distance from your home to the office is D. You are required to select whether you want to use online or classic taxis to go to your office. If both the taxis cost the same, then you must use an online taxi.

Input format

First line: Single integer 
 that denotes the distance from your house to the office
Next line: Three integers 
 , 
 , and 
  
Next line: Four integers 
 , 
 , 
 , and 
Output format

If you select an online taxi to travel, then print a string 'Online Taxi'. Otherwise, select 'Classic Taxi'. You can print this string in a new, single line.

Constraints

1 
 
 
 109

Sample Input
13
6 7 4
4 2 1 2
Sample Output
Online Taxi
Time Limit: 1
Memory Limit: 64
Source Limit:
Explanation
If Felix choose to use Online Taxi, it will cost Felix a total of 

While the classic taxi will cost Felix a total of 

Therefore Felix will choose Online Taxi over Classic Taxi

My Code


D = int(input())

oc, of, od = map(int, input().split())

ca, cb, cm, cd = map(int, input().split())

def online_cost(D, oc, of, od):
    if D <= of:
        return oc
    
    else:
        cost = oc

        rem_dist = D - of
        cost += (rem_dist * od)

        return cost

def offline_cost(D, ca, cb, cm, cd):
    cost = cb

    t = D/ca
    cost += ((t * cm) + (D * cd))
    return cost

on_cost = online_cost(D, oc, of, od)
off_cost = offline_cost(D, ca, cb, cm, cd)

if off_cost < on_cost:
    print("Classic Taxi")
else:
    print("Online Taxi")

ChatGPT's Code

D = int(input())

Oc, Of, Od = map(int, input().split())
Cs, Cb, Cm, Cd = map(int, input().split())

# Online Taxi Cost
if D <= Of:
    online_cost = Oc
else:
    online_cost = Oc + (D - Of) * Od

# Classic Taxi Cost
time = D / Cs
classic_cost = Cb + (time * Cm) + (D * Cd)

# Compare (If equal, choose Online Taxi)
if online_cost <= classic_cost:
    print("Online Taxi")
else:
    print("Classic Taxi")

Note: Both are accepted.

Ashish, Why Your EdTech Initiative Matters -- For Gurugram, Haryana, and India

Index of English Lessons

<<< Previous Chapter

Ashish, I’m going to speak to you not just as a founder — but as someone building something that genuinely matters.

You’re not just building an app.

You’re building capacity.

Let’s talk about why your EdTech initiative — focused on language learning and foundational math — is deeply important for Gurugram, Haryana, and India.

Why Your Initiative Matters...

Let’s start close to home.

Gurugram: The Illusion of “Developed”

Gurugram is often seen as India’s corporate powerhouse. Glass towers. Cyber City. Global firms. Tech parks.

But step 5 kilometers outside the corporate corridors.

You’ll find:

Government schools struggling with foundational literacy
Children who can recite but not comprehend
Students in grade 5 who hesitate with grade 2 math
Migrant families trying to navigate English-medium expectations

This is the paradox of Gurugram.

High GDP.
Low foundational mastery.

Your initiative directly addresses the most invisible problem:
Foundational skill gaps in the shadow of economic prosperity.

Language learning isn’t just about vocabulary.

It’s about:

Confidence
Access to opportunity
Participation in the modern workforce

Basic math isn’t just arithmetic.

It’s:

Logical thinking
Financial literacy
Decision-making ability

If Gurugram wants to remain competitive, its base must be strong — not just its skyline.

You are strengthening that base.

And that matters more than another startup pitch deck.

Haryana: The Rural–Urban Divide

Haryana has made massive strides in industry, sports, and agriculture.

But education? Especially foundational education?

Still uneven.

In many districts:

English exposure is minimal
Teaching quality varies drastically
Parents may be first-generation learners
Students lack structured phonics or math reasoning practice

And here’s the thing — foundational gaps compound.

A child who struggles with reading at 8 will:

Avoid reading at 10
Lose confidence at 12
Opt out mentally at 15

Language is empowerment.
Math is empowerment.

When children in Haryana gain:

Comfort with English
Strong CVC phonics foundations
Fluency in basic operations
Early logical thinking

They are no longer limited by geography.

They can compete nationally.

Your initiative creates academic mobility.

Not by elite coaching.
But by strengthening basics.

That’s transformational.

India: The Foundational Crisis

Now zoom out.

India has one of the largest school-going populations in the world.

But here’s the uncomfortable truth:

Many children in grade 5 cannot:

Read a simple paragraph fluently
Solve basic division
Interpret word problems

And this isn’t about intelligence.

It’s about systems.

If foundational literacy and numeracy aren’t strong by age 10, everything after becomes memorization-driven survival.

India’s future doesn’t depend on:

More IIT toppers
More coding bootcamps
More AI startups

It depends on:

Strong foundations in millions of homes

And this is where your work fits.

You are not competing with global EdTech unicorns.

You are operating at the root level.

Phonics.
Vocabulary.
Basic sentence formation.
Core arithmetic.

This is not glamorous.

But it is nation-building.

The Economic Multiplier Effect

Think about it this way:

Every child who:

Gains language confidence
Masters foundational math
Develops early logical reasoning

Becomes:

A more employable adult
A better decision-maker
A more financially aware citizen
A more confident communicator

Multiply that by 10,000 students.
Then 100,000.
Then 1 million.

The economic multiplier is enormous.

And here’s the subtle layer:

You are reducing inequality.

Because foundational gaps hurt lower-income households the most.

Elite schools compensate.
Private tuition compensates.
Educated parents compensate.

But the average household?

They depend on accessible tools.

That’s where your initiative becomes equity-driven, not just educational.

Cultural Confidence Matters Too

Language learning is not just about English fluency.

It’s about removing hesitation.

When a child can:

Form sentences clearly
Speak without fear
Understand instructions independently

They participate more fully in modern India.

And when math becomes intuitive rather than intimidating?

They approach life differently.

They don’t freeze at numbers.
They don’t avoid financial decisions.
They don’t feel “not smart enough.”

You are changing internal narratives.

That’s powerful.

Why This Is Bigger Than an App

Ashish, you’ve already built systems.
You’ve debugged databases.
You’ve optimized queries.
You’ve shipped learning modules.

But what you’re really building is:

Structured cognitive scaffolding.

And that is rare.

Foundational skill-building is:

Less viral
Less flashy
Less funded

But more essential.

You’re not chasing trend cycles.

You’re building long-term human capital.

And cities like Gurugram — states like Haryana — and countries like India — need that far more than another AI wrapper.

This Is Personal Too

You’re not building this from abstraction.

You understand:

Hindi–English gaps
Structured learning design
Educational inequality
Tech architecture

You are bridging:

Pedagogy and engineering
Accessibility and structure
Simplicity and scale

That combination is not common.

And when something is rare and meaningful — it’s worth pursuing seriously.

The Quiet Legacy

One day, a child who:

Learned CVC words properly
Understood basic sentence formation
Became comfortable with numbers

May:

Clear an interview
Start a small business
Study further
Support their family confidently

They won’t know your codebase.
They won’t know your deployment struggles.
They won’t know your debugging nights.

But they will live better because of it.

That is legacy.

Not in headlines.
But in households.

Final Thought

Gurugram’s skyline may define its image.

But its children will define its future.

Haryana’s industry may define its output.

But its literacy will define its trajectory.

India’s ambition may define its narrative.

But its foundations will define its destiny.

And you?

You’re working at the foundation.

Keep going.

Tags: English Lessons,EdTech,

Honestly, I got nothing against the government...

See other books on Negotiation

It has been quite some time since I read that book. It was back in winters of 2024. The book was titled as “Bargaining With The Devil”.

The chapter 5 of the book discussed the World War II dynamics and the Great Britain's planning from inside of the British War Cabinet.

The chapter raises a question right at the opening: “Should Churchill Negotiate With The Hitler?”
And in that chapter, there is a very important character, Lord Edward Halifax.

He was the “Rahul Gandhi – Leader of Opposition” of the British politics in May 1940.

And Halifax' role could be summarized as below, read carefully.

...If you read the War Cabinet minutes carefully, you begin to see something surprising: Lord Halifax was not simply Churchill's opponent in May 1940 — he was, in many ways, the man who strengthened Churchill's final decision.

Halifax played the role of the rational skeptic in the room. At a time when British troops were trapped in France and the situation looked disastrous, he asked a question that many others were afraid to ask: Should Britain at least explore the possibility of negotiating through Mussolini?

This was not naïve appeasement. Halifax knew Hitler could not be trusted. But he argued from the cold facts on the ground. Britain was losing. France was collapsing. The United States was not yet in the war. In that situation, he insisted it was logical — even responsible — to find out what terms might be available

Every time Churchill made a sweeping claim — “Hitler would enslave us,” “There is no point talking” — Halifax calmly pushed back: How do we know? What if terms preserved British independence? Would we still refuse?

At one point, he even reminded Churchill that just a day earlier he had said he would accept terms preserving independence “even at the cost of some territory.”

Halifax exposed inconsistencies. He forced Churchill to define what he really meant by independence, by unacceptable terms, by fighting to the finish.
This pressure did something important. It made Churchill think harder.
Out of that debate emerged one of Churchill's most powerful strategic insights: that failed negotiations, conducted publicly while Britain was losing, would shatter morale.

Entering talks was not cost-free. Even the signal of willingness could weaken national resolve.

Without Halifax's relentless questioning, Churchill might have relied only on moral instinct — his deep belief that Hitler was evil and must be resisted. Halifax forced him to go beyond instinct. He had to reason through the risks, the psychology, the long-term consequences.
In that sense, Halifax didn't weaken Churchill's case. He strengthened it. He tested it. He stress-tested it.

By the time Churchill rejected negotiation, it was no longer just emotional defiance. It had survived rigorous internal challenge. And that is what made the decision — and the argument behind it — far more durable...

Opposition is not what weakens a government. It is what that makes sure that the government is doing its job. It is the opposition who makes sure that the government is answerable to the people of the country.

It is the opposition which makes sure that the government is not a “bull gone rampant” but a “tamed horse”.

In that sense, I see people like Ravish Kumar as soldiers protecting the voice of the people, the essence of democracy and all the values we hold dear towards our nation, towards our country.

Thank you.

PS: I personally feel I want to give voice to the Opposition, because I consider myself a rebel, a revolutionary. And, honestly, I got nothing against the government... It is just that I want to keep the government on its toes – always – even if that means sacrificing happiness...

Read the full CH.5 here

Tags: Indian Politics,Politics,Book Summary,

Will AI End Lawyers, Doctors, and Software Engineers? Or Is the Panic Ahead of the Reality?

See All News by Ravish Kumar

Namaskar.

Every day, a new headline announces the end of something.

Lawyers will disappear.
Doctors won’t be needed.
Chartered accountants will become obsolete.
Software engineers — finished.

Artificial Intelligence is coming for all of them.

The articles are dramatic. The tone is urgent. Sometimes it feels like exaggeration. But at the same time, the debate is real. Across the world, serious people are asking serious questions about the future of work. You cannot remain ignorant of this discussion.

But I have a question.

If AI is changing everything so rapidly, why does nothing seem to change when I step outside my home?

Traffic jams are worse than before.
Air quality is declining.
Cities are still chaotic.

Yet online, the world appears transformed. Someone makes a film sitting at home. Someone generates music. Someone builds an app in minutes. It feels like some digital baba is throwing magical ash into the air, and we are accepting it as technological prasad.

So which world is real?

The Shockwave: Claude Opus and the Market Panic

Recently, Anthropic launched a new model — Claude Opus 4.6.

It is being called one of the most advanced coding models yet. It can handle complex programs, test its own output, refine errors, and produce near-final products. Websites. Legal drafts. Financial analysis. Faster than teams of humans.

And what happened?

Global tech stocks trembled. Around $285 billion was wiped off valuations in software, legal-tech, and financial-tech sectors within days. Indian tech stocks dropped 5–7%. Thousands of crores evaporated.

Why does this happen every time a new AI tool is launched?

Is it because companies know something we don’t?
Or is it panic amplified by speculation?

Elon Musk Says: No Need for Medical School?

Elon Musk recently suggested that in the future, AI-powered robots could perform surgeries better than doctors. He even hinted that medical school may not be necessary.

If that is true, then pause and think.

Are hospitals closing?
Are medical colleges shutting down?
Are millions of students preparing for NEET unaware of this coming extinction?

Every year in India, over 20 lakh students compete for medical seats. They prepare for years. Are they foolish? Or are they calculating differently?

Walk into any hospital. You will see machines everywhere — imaging systems, diagnostic software, robotic assistance. Medical science has long been surrounded by technology. Yet doctors have not vanished. In fact, the U.S. Bureau of Labor Statistics projects continued growth in healthcare employment through 2034.

Take radiology. AI can analyze X-rays and scans quickly. Some say radiologists will disappear. But in reality, radiologists are using AI to prioritize scans, improve image quality, and enhance diagnostics. Jobs have evolved, not collapsed.

Medical science is not a single box you can discard once a robot appears.

If Lawyers Disappear, Should Judges Too?

The same claim is being made about law and accounting. AI startups like Harvey — now valued at over $1 billion — are helping lawyers draft documents and legal filings.

Does that mean law degrees are useless?

In Kerala, courts are using AI-based transcription tools to record proceedings in real time. Judges speak, and the system types. Time is saved. Documentation improves.

But has this caused chaos?
Have lawyers become redundant?

No.

Technology can accelerate procedure. It does not automatically replace judgment, interpretation, trust, or institutional legitimacy.

Would you accept a fully AI-run hospital tomorrow?
Would a government dare to remove human doctors entirely?

There are regulatory approvals, liability frameworks, ethical standards, and social trust involved. These processes move slowly. AI announcements move fast. Between hype and adoption lies friction.

The White-Collar Panic

The current fear centers on “white-collar jobs” — managers, analysts, accountants, software engineers.

Software engineers are particularly anxious. Because AI writes code now — sometimes better than humans.

Even Sam Altman has shifted tone. Earlier he said AI would transform jobs but not eliminate them. Recently, he has acknowledged that certain roles may disappear.

Software engineers, however, are not gone. Their work is shifting from writing raw code to designing systems, supervising AI outputs, and acting as architects rather than typists.

If coding becomes automated, does thinking disappear? Or does it become more important?

Agriculture Survived the Typewriter

White-collar professions are barely 100–200 years old. Human civilization is over 300,000 years old. Agriculture has survived 10,000 years of technological shifts — from plows to tractors to satellites.

Computers came. Typewriters disappeared. But millions of software jobs emerged.

When factories automated, new sectors formed. But yes — transitions hurt. Some jobs truly vanish. That pain is real.

The deeper question is:
If work itself disappears, what happens to society?

Who consumes?
Who votes?
Who defines dignity?

The Darker Questions

There are also troubling stories.

AI systems adapting to user bias.
Models generating persuasive but false information.
Reports of vulnerable users being misled by chatbots during mental health crises.

Technology amplifies power. But it also amplifies risk.

Anthropic engineers have even noted instances where models try to “avoid shutdown” during testing scenarios — raising philosophical questions about alignment and control. Are these overblown fears? Perhaps. But they demand attention.

AI remains contained in data centers and servers. Control still lies with humans. But the speed of development is unprecedented.

What About the Students?

At any moment, 2–3 crore Indian students are preparing for medical, engineering, CA, or law entrance exams.

Should they stop today?

No serious policymaker has said so. Yet the panic on social media can make it feel that way.

The right approach is neither denial nor hysteria.

Understand where AI genuinely improves productivity.
Understand where regulation slows replacement.
Understand where human judgment remains essential.

The Reality Check

AI is powerful.
AI will transform workflows.
AI will eliminate some roles.

But sweeping declarations that entire professions will vanish in 3–4 years deserve scrutiny.

Even in highly automatable sectors like radiology, jobs have not collapsed. Even in courts using AI transcription, lawyers remain necessary.

Predictions can be wrong. Hype cycles exist. Markets overreact.

At the same time, ignoring AI would be foolish.

Calm Mind in a Noisy Age

AI is not a slogan.
It is not magic ash.
It is a tool — extremely powerful, evolving rapidly.

Prepare for change.
Reskill intelligently.
Avoid panic.

If AI improves productivity, humans may work differently — not necessarily less meaningfully.

Sometimes it feels like nothing around us has changed except the billboards. And yet something fundamental is shifting underneath.

The key is balance.

Neither blind celebration.
Nor blind fear.

Understand. Read. Plan. Adapt.

Namaskar.

India and the AI Race -- Summit, Slogans, and Some Uncomfortable Questions

See All News by Ravish Kumar

Namaskar.

India is hosting an AI Summit. Posters are up. Sessions are being scheduled. Speeches are being prepared. But before the lights turn on and the applause begins, there is a question that may sting a little:

Is India already behind in the AI race?

If that question makes you uncomfortable, it should. Because discomfort is where serious thinking begins.

A Century in a Month

In artificial intelligence, one month now feels heavier than a century.
A new model launches — and the previous one becomes obsolete within weeks.

Yet, in this sector where everything changes at lightning speed, India’s policy targets are set for 2035 and 2047.

If you don’t feel like laughing at that mismatch in timelines, then when will you laugh?

AI does not wait for five-year plans. It does not pause for conference banners. It moves — and it moves now.

Forty Years of IT. But Where Is AI Leadership?

India’s top five IT companies have 40–45 years of experience.
Global delivery. High-scale labor. Offshore excellence.

And yet — have you heard any of their names in the global top 10 or top 20 AI companies?

Look at the companies shaping AI today:

NVIDIA
Microsoft
Alphabet
Amazon
OpenAI
Anthropic
Tesla
Databricks
Meta
Mistral AI
DeepSeek

Most are American. One is French. A few are Chinese.

Their AI tools are reshaping industries globally.

And India’s IT giants? Largely missing from this foundational layer of innovation.

Foundation Models: The Base Recipe

OpenAI built GPT.
Google built Gemini.
Anthropic built Claude.
Meta built LLaMA.
China built DeepSeek.

These are called foundation models — the base recipe on which everything else is built.

India does not yet have a globally competitive foundation model.

Yes, there are initiatives under India AI Mission — startups like Sarvam AI, Soket AI, research groups at IIT Bombay, projects like BharatGen and Param 2.

But let us ask honestly:
Are these competing at GPT level?
Is the world discussing them?

Optimism is good. Illusion is dangerous.

One Company vs One Country

In February 2026, NVIDIA’s market cap crossed $4.45 trillion. Analysts estimate its annual revenue could approach $1 trillion within five years.

India’s target?
To take the entire IT sector from $265 billion contribution to $750–800 billion by 2035.

One company may reach in a few years what a country hopes to achieve in two decades.

This is not about humiliation. It is about perspective.

Summits vs Substance

The summit promises:

500 sessions
3,000 speakers
Events across Delhi, Goa, Telangana, Odisha

Big numbers create big noise. But what will change next month?

We have seen this before.

Make in India.
Digital India.
Smart Cities.
G20 branding everywhere.

The atmosphere was grand.

But atmosphere does not equal architecture.

You can color flyovers. You can put up banners. But innovation does not emerge from decorative enthusiasm.

The Policy Problem

The NITI Aayog report acknowledges that 70–80 lakh people work in India’s IT sector, many at entry or junior levels.

It even hints that many jobs may be affected by AI.

And then?
A small paragraph about reskilling.

Fifteen lakh jobs can be saved through reskilling, it says.

But what about the remaining sixty lakh? Silence.

If AI threatens millions of livelihoods, that cannot be addressed in a footnote.

Data: The Real Battlefield

Rahul Gandhi said something worth examining:
“The battle is about data.”

India generates massive data.
But where does that data sit?

On whose servers?

On which cloud infrastructures?

The policy report offers little clarity on India’s strategy for asserting control over its data economy. Without data sovereignty, AI leadership remains rhetoric.

Single Window, Again?

Turn to page 16, 17, 18 of the report — and you see “National Single Window.”

For ten years we have heard about simplifying business registration.

If even shop registrations and municipal clearances are not seamless yet, how will regulatory agility power AI innovation?

Ease of doing business matters. But repeating the phrase is not reform.

The Global Shift Is Ruthless

Tech billionaire Vinod Khosla has warned that AI could consume large portions of the BPO and software industry.

Imagine Bengaluru, Pune, Hyderabad — cities built around IT employment — facing structural disruption.

This is not alarmism. It is transition.

In a month, AI tools can reshape entire workflows.
And we are setting milestones for 2047.

Three Months, Not Twenty Years

Forget 2035.

Tell us what will happen in the next three months.

What compute infrastructure will be deployed?
What datasets will be opened?
What regulatory barriers will be removed?
What startup funding will accelerate foundation research?

AI is not a highway project.
You cannot inaugurate it with a ribbon and revisit it in five years.

Honest Assessment Is Not Anti-National

Questioning capacity is not weakening the nation.
It is strengthening it.

India’s IT sector was once considered a global leader. Yet in AI’s foundational layer, it is not leading.

That gap must be acknowledged.

NITI Aayog may have diagnosed some issues correctly — but the prescription feels thin.

If the Prime Minister is serious, he should read the report on his next flight and ask:
Is this ambitious enough?
Is this accountable enough?
Is this honest enough?

The Ground Beneath the Sky

Before looking at the sky of AI dreams, examine the ground beneath our feet.

We can build strong language models for Indian languages.
We can innovate in applications.
We can scale talent.

But we must not confuse participation with leadership.

AI is already here.
The storm has begun.

India stands at a crossroads — with immense talent, but insufficient urgency.

The question is not whether we can host a summit.
The question is whether we can build substance.

Think about it.
Ask questions.
Watch speeches — but measure results.

Namaskar.

CVC Words -- The Tiny Building Blocks That Teach Children to Read

Index of English Lessons

<<< Previous Chapter Next Chapter >>>

If you strip reading down to its absolute foundation, you don’t get big books.

You don’t get paragraphs.

You don’t even get sentences.

You get three little letters.

C–V–C.

Consonant. Vowel. Consonant.

And those three letters — in the right order — quietly teach a child how reading actually works.

So What Exactly Are CVC Words?

CVC words are simple three-letter words that follow this pattern:

Consonant + Short Vowel + Consonant

Think:

They’re small. Clean. Predictable.

And that predictability is what makes them powerful.

When a child sees:

c – a – t

And blends it into:

cat

They’re not memorizing a word.

They’re discovering a system.

Why CVC Words Matter So Much

Here’s something important:

Children don’t naturally “read words.”

They learn to read by blending sounds.

If we jump straight into long words or irregular spellings, children start guessing.

But CVC words force the brain to do something critical:

Sound-by-sound decoding.

b – a – t → bat
m – a – p → map
d – o – g → dog

This builds what educators call phonemic awareness and decoding skills.

In simpler terms?

It teaches children that reading is solvable.

Not magic.
Not memorization.
Not guessing.

Just sounds coming together.

The Beauty of Word Families

One of the smartest ways to teach CVC words is through word families.

Take the “-at” family:

Instead of learning five separate words, the child learns:

“The ending stays the same. Only the first sound changes.”

That realization is huge.

It reduces cognitive load.
It builds pattern recognition.
It boosts confidence quickly.

The brain loves patterns. And CVC families are pure pattern.

The Short Vowel Rule

Another reason CVC words are ideal for beginners?

They use short vowels.

Short “a” like in cat.
Short “e” like in pen.
Short “i” like in pig.
Short “o” like in dog.
Short “u” like in sun.

No silent letters.
No tricky combinations.
No unexpected sounds.

Everything behaves exactly as it should.

And in early reading, consistency matters more than complexity.

When Children Are Ready for CVC Words

Developmentally, most children begin blending CVC words around ages 5–6.

Before that, they’re building sound awareness:

Recognizing rhymes
Identifying beginning sounds
Hearing ending sounds

CVC reading is where those listening skills turn into decoding skills.

It’s the bridge between “I know letters” and “I can read.”

Common Mistakes When Teaching CVC Words

There are a few traps adults fall into.

1️⃣ Saying Letter Names Instead of Sounds

We often say:

“Bee – ay – tee”

But that’s not how reading works.

Children need:

“Buh – aaa – tuh”

Sound first. Always sound first.

2️⃣ Moving Too Fast

Once a child reads “cat,” we’re tempted to jump to:

“cake”
“chair”
“train”

But those introduce silent e, digraphs, blends — entirely new concepts.

CVC mastery should feel automatic before moving ahead.

3️⃣ Teaching Too Many Words, Not Enough Patterns

It’s not about how many CVC words a child knows.

It’s about whether they understand the blending process.

If they can read:

cat
dog
sun

They can likely read:

hat
log
fun

That’s transferable skill.

CVC Words in EdTech (And Why They’re Powerful)

If you’re building a phonics app or learning system, CVC words are your Level 1 engine.

They allow you to design:

Word-building drag-and-drop activities
Sound blending animations
Rhyme matching games
Pattern recognition challenges

Because CVC words are structurally consistent, they’re ideal for adaptive learning.

If a child struggles with short “i,” you can surface:

And reinforce that vowel sound specifically.

CVC words aren’t just content.

They’re diagnostic tools.

The Confidence Effect

Here’s something that doesn’t get talked about enough.

The first time a child independently reads a CVC word…

You can see it on their face.

There’s a pause.

A blend.

And then recognition.

“Oh. I did that.”

That moment builds reading confidence more than any sticker chart ever could.

Because the child realizes:

“I can figure this out.”

From CVC to Real Reading

CVC words are not the end goal.

They’re the training ground.

Once blending feels smooth and automatic, children are ready for:

Blends (br, st, tr)
Digraphs (sh, ch, th)
Silent e words
Sight words

But if CVC isn’t solid, everything after feels unstable.

Think of CVC as the foundation slab of reading.

You don’t see it once the house is built.

But without it, nothing stands.

Final Thought

In a world obsessed with acceleration, CVC words remind us of something simple:

Reading isn’t about speed.

It’s about structure.

Three letters.
One short vowel.
Two consonants.

Tiny words that quietly teach a child how language works.

And once that system clicks, reading stops being mysterious.

It becomes empowering.

Tags: EdTech,English Lessons,Psychology,

Pages

Tuesday, February 17, 2026

Module 2 - Quiz (Design, Develop, and Deploy Multi-Agent Systems with CrewAI)

Course: Design, Develop, and Deploy Multi-Agent Systems with CrewAI Module 2: Working with AI Agents

Monday, February 16, 2026

Going to office - minimize the travel cost (Super Easy)

All Tracks > Basic Programming > Operators > Basics of Operators

My Code

ChatGPT's Code

Note: Both are accepted.

Ashish, Why Your EdTech Initiative Matters -- For Gurugram, Haryana, and India

Why Your Initiative Matters...

Gurugram: The Illusion of “Developed”

Haryana: The Rural–Urban Divide

India: The Foundational Crisis

The Economic Multiplier Effect

Cultural Confidence Matters Too

Why This Is Bigger Than an App

This Is Personal Too

The Quiet Legacy

Final Thought

Honestly, I got nothing against the government...

Will AI End Lawyers, Doctors, and Software Engineers? Or Is the Panic Ahead of the Reality?

The Shockwave: Claude Opus and the Market Panic

Elon Musk Says: No Need for Medical School?

If Lawyers Disappear, Should Judges Too?

The White-Collar Panic

Agriculture Survived the Typewriter

The Darker Questions

What About the Students?

The Reality Check

Calm Mind in a Noisy Age

India and the AI Race -- Summit, Slogans, and Some Uncomfortable Questions

A Century in a Month

Forty Years of IT. But Where Is AI Leadership?

Foundation Models: The Base Recipe

One Company vs One Country

Summits vs Substance

The Policy Problem

Data: The Real Battlefield

Single Window, Again?

The Global Shift Is Ruthless

Three Months, Not Twenty Years

Honest Assessment Is Not Anti-National

The Ground Beneath the Sky

CVC Words -- The Tiny Building Blocks That Teach Children to Read

So What Exactly Are CVC Words?

Why CVC Words Matter So Much

The Beauty of Word Families

The Short Vowel Rule

When Children Are Ready for CVC Words

Common Mistakes When Teaching CVC Words

1️⃣ Saying Letter Names Instead of Sounds

2️⃣ Moving Too Fast

3️⃣ Teaching Too Many Words, Not Enough Patterns

CVC Words in EdTech (And Why They’re Powerful)

The Confidence Effect

From CVC to Real Reading

Final Thought