If you want to understand what’s changing in society, don’t start with politics.

Start with homes.

Walk into a normal home in any big city today and you will notice two gaps.

Gap one: people talk less - real talk, not scrolling. Many older adults spend long hours with no meaningful conversation.

Gap two: kids “do school,” but learning still feels shaky. Parents pay for tuition, buy books, try their best - yet the child is still not improving the way everyone hoped.

These two gaps are not loud. They don’t trend like breaking news.

But they quietly decide health, confidence, income, and even stability.

And here’s the business angle most people miss:

When a problem hits millions of families every day, it becomes a market. Not a “nice-to-have” market. A must-solve market.

That is why a new class of companies is growing - companies building products around two needs that never go out of fashion:

1. Feeling supported
2. Getting better at skills

Two startups that fit this shift are OnScreenInc (the parent company of JoyCalls and JoyLiving Enterprise) and Debsie (with gamified courses, tutor matching, and a fun AI learning supporter).

Part 1: Loneliness is not “a feeling.” It’s a system failure.

Let’s say something uncomfortable: loneliness is rising not because people suddenly became cold.

It’s rising because the old system of connection is breaking.

The old system was simple:

• family lived closer,
• neighbors knew each other,
• elders had daily roles,
• and community life forced interaction.

Modern life changed the rules:

• people move for work,
• families spread across countries,
• young adults are time-poor,
• and screens absorb spare attention.

So the connection becomes “whenever I have time.”

And “whenever I have time” becomes “rarely.”

What loneliness looks like when you stop romanticizing it

Loneliness is often not dramatic.

It looks like:

• A parent who calls just to ask small questions, because they want to hear a voice.
• An older adult who watches TV all day, not because they love TV, but because silence feels heavy.
• A family member who says “I’m fine” every time, because they don’t want to sound needy.
• A caregiver who feels guilt, but also feels trapped by work.

This is not just emotional.

When older adults feel disconnected, they often:

• ignore symptoms longer,
• lose motivation for daily routines,
• and spiral into lower energy, lower movement, lower appetite.

Even if you don’t want to talk about health science, the business impact is obvious:

Loneliness increases care load later. Families pay more, worry more, and scramble more.

So the true problem is not “loneliness.”

The true problem is lack of a reliable care routine.

Part 2: The “care routine” business is growing fast

If you think about the biggest consumer products, many of them do one key thing:

They make a behavior repeatable.

• Banking apps made saving repeatable.
• Ride-hailing made transport repeatable.
• Food delivery made ordering repeatable.

Now some startups are trying to make care repeatable.

OnScreenInc’s core idea: make support easy by using what older adults already know

A lot of “senior tech” fails because it assumes older adults will learn new tools.

But most older adults don’t want a new app. They want life to be simpler.

OnScreenInc’s JoyCalls.ai leans into that with a basic decision: voice-first support.

No complicated setup. No new habit. Just phone calls and voice interaction - things older adults already understand.

It has two main services, aimed at two different places where loneliness shows up:

1) JoyCalls: support at home, through regular calls

JoyCalls is built around scheduled phone calls that can do three practical jobs:

• check-ins (how are you feeling today?)
• reminders (simple daily prompts)
• conversation (because silence is the enemy)

The big advantage of a calling model is not “AI magic.”

It is low friction:

• the user picks up a normal call,
• no learning curve,
• no smartphone mastery needed.

How to use something like JoyCalls in a smart, helpful way

A tool like this only helps if it is used responsibly.

Here is a simple strategy that works for many families:

Step 1: Choose the “why.”

Don’t do everything at once. Decide the main purpose:

• “We want daily check-ins,” or
• “We need routine reminders,” or
• “We want more conversation so days don’t feel empty.”

Step 2: Pick the best time, not the best intention.

The best plan is the one that fits life.

• If mornings are calm, schedule mornings.
• If evenings are quiet, schedule evenings.

Step 3: Keep one weekly human call that never moves.

This is critical. A tool should never replace the relationship.

A tool should reduce gaps between real family touchpoints.

Step 4: Decide what should trigger action.

If the service provides summaries or alerts, treat them like signals:

• mood changes,
• repeated worry,
• missing routines,
• unusual patterns.

When you see a signal, don’t debate for three days. Call. Check. Act.

Used this way, the product becomes a safety net, not a substitute.

2) JoyLiving Enterprise: support inside senior living communities

JoyLiving Enterprise goes after the same care-and-connection problem, but in a setting where the pressure is constant: senior living communities.

In many of these facilities, the front desk becomes a bottleneck - calls from families, residents, vendors, and staff questions stack up all day, and every interruption pulls caregivers away from residents.

JoyLiving is built as a voice-first AI “front desk layer” that can pick up incoming calls right away, handle the most common questions, and take routine requests - like a maintenance issue, a dining question, a ride request, or “what’s happening today?” - then route each item to the right person and log it automatically so nothing gets lost in someone’s memory.

The real value is in the operations: communities can set clear escalation rules so sensitive or urgent topics trigger immediate alerts to staff via SMS or email, create workflows that match their current process (who handles what, during which shift), receive a daily summary that shows what came in, what was resolved, and what needs follow-up, and keep auto-written call notes that can support internal tracking, care coordination, and documentation needs.

The smart way to roll out a system like this is to start narrow, not wide: identify the top 10 call reasons your community receives, decide exactly which ones the AI can handle fully, which ones require routing, and which ones must be escalated instantly.

Then assign owners - one person or role per category - so alerts don’t land in a void.

Finally, track simple weekly metrics that reflect real improvement: how long callers wait before getting an answer, how many calls were resolved without pulling staff away mid-task, how often urgent issues were escalated correctly, and whether residents and families feel responses are faster and clearer.

When implemented this way, JoyLiving stops being “an AI product” and becomes a staffing relief system - one that reduces repeat interruptions so your people can spend more time doing the work that actually requires a human.

Part 3: Learning is also a system failure - just in a different way

Now let’s talk about learning.

Most parents don’t need a long lecture on education policy.

They already see the problem.

Their child:

• attends school,
• does homework,
• takes exams,

…but still struggles.

And the parent feels stuck:

• “Do I pay for more tuition?”
• “Do I change schools?”
• “Is the child lazy?”
• “Am I failing as a parent?”

Here is the simple truth:

Most learning failure is not because the child is dumb.

It is because the child lacks three things:

1. a clear path
2. steady practice
3. feedback that makes sense

School often cannot give all three at the level each child needs.

Not because teachers don’t care.

Because there are too many students and too little time.

So parents build their own learning system - usually using tutors.

And tutoring helps, but it has problems too:

• quality varies,
• it’s expensive,
• and it doesn’t always keep the child engaged between sessions.

This is where a new kind of education business is trying to win:

Not “more content.”

But better structure + personalization + daily engagement.

That is where Debsie fits.

Part 4: Debsie’s play: make learning feel daily, guided, and enjoyable

Debsie is not a reading-practice product.

Its offering is built around three pieces that work together:

1. Gamified courses
2. Tutor matching for personalized learning
3. A fun AI learning supporter that acts like an AI tutor kids actually enjoy talking to

The goal is not to replace school.

The goal is to give families a learning system that doesn’t collapse after two weeks.

1) Gamified courses: make progress feel real

Many kids don’t hate learning.

They hate confusion.

Gamified courses help when they:

• break big topics into small steps,
• give quick wins,
• and make progress visible.

When progress is visible, motivation becomes easier.

2) Tutors: personalized learning where it matters

Some kids need help that no “course” can deliver alone:

• a concept they missed earlier,
• a weak foundation,
• fear of asking questions,
• or a learning pace that’s different.

Tutor support matters because a real tutor can:

• diagnose what’s wrong quickly,
• adjust explanations,
• and build confidence.

The practical value for parents is not “tutoring.”

It’s clarity:

• What exactly is weak?
• What should we work on this month?
• What does “good progress” look like?

3) AI learning supporter: the “between sessions” layer

Most learning plans fail in the gaps.

Between classes, the child:

• forgets,
• gets stuck,
• loses momentum,
• and then avoids the subject.

A fun AI learning supporter can fill those gaps by:

• explaining again in simpler words,
• answering small questions instantly,
• turning practice into something playful,
• keeping the child engaged without the parent doing constant supervision.

This is not about “cool AI.”

It is about solving a real parent problem:

“I can’t sit beside my child for two hours every day.”

Part 5: How a family can use Debsie without wasting money or time

Tools don’t create results. Systems do.

Here’s a practical way to use Debsie-style learning (courses + tutor + AI supporter) so it actually pays off:

Step 1: Pick one skill target for 30 days

Not five targets. One.

Examples:

• “Fractions”
• “Basic coding logic”
• “Science basics”
• “Problem solving speed”

This stops chaos.

Step 2: Set a daily slot that is short and fixed

Most families fail because they plan big.

Don’t plan big. Plan repeatable.

• 20–30 minutes daily
• same time
• same location

Step 3: Use the AI supporter during that daily slot

The AI supporter should be the “instant help” layer:

• “I don’t understand this”
• “Explain again”
• “Give me one more example”

This keeps momentum alive.

Step 4: Use a tutor as the weekly anchor

The tutor session should not be random.

Make it structured:

• diagnose weak points,
• set weekly targets,
• review progress,
• adjust plan.

Think of the tutor as the “coach,” not just a teacher.

Step 5: Track only two numbers

Parents track too many things and burn out.

Track:

1. days practiced (consistency)
2. weekly improvement (one clear outcome)

Consistency is the main lever. Everything else is noise.

Part 6: The business reality: what makes these models win or fail

Now the Business Insider lens:

These products live or die on one thing:

retention.

If users drop after two weeks, the business is dead.

So the best companies in care and education focus on:

• lowering friction,
• building routine,
• and making outcomes visible.

Why OnScreenInc’s approach is commercially smart

• It uses familiar behavior (phone calls).
• It targets a high-pain problem (loneliness + caregiver worry).
• It can sell to families and to senior living operators (two markets).
• It reduces workload in communities (a clear ROI story).

Why Debsie’s approach can scale if executed well

• Courses alone often lose engagement.
• Tutors alone don’t cover daily momentum.
• AI alone can feel cold or untrustworthy.

A blended model can work because it matches real life:

• daily engagement (courses + AI supporter)
• deeper personalization (tutors)

If kids genuinely enjoy the AI supporter, that’s a strong retention advantage - because the hardest part of learning is getting the child to start.

Final word: The next big businesses may look “quiet”

Many people think big tech must be flashy.

But the next wave of meaningful companies may look boring on the surface:

• calls,
• routines,
• practice,
• small daily progress.

That is not a weakness.

That is exactly why they may win.

Loneliness and weak learning are not headline problems, but they are foundation problems. If you fix foundations, everything above gets stronger - health, confidence, trust, productivity.

OnScreenInc and Debsie are good examples of this new direction:

• not building for attention,
• building for daily life.

The opportunity is huge. The need is real.

But the standard should be high.

Because when a business touches vulnerable people - older adults and children - it is not just selling a product.

It is stepping into the part of life society cannot afford to get wrong.

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