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· 19 min read
Raul Jimenez Ortega
Note on the language used in this article

In this article, I use “parents” to refer to both mothers and fathers, and “kids” to include both boys and girls. While I value inclusive language, I’m sharing our personal experience—my wife María and I are raising two sons—and we're comfortable with these terms to describe our family.

That said, everything I share here is intended for anyone raising, teaching, or caring for children, regardless of role, identity, or family structure.

I hope the language used doesn’t create a barrier for anyone.

⚠️ Content warning: this article contains a disturbing video and a minor spoiler from the miniseries Adolescence.

Fair warning: this is a long read—but parenting is a deep topic, and I wanted to explore it properly 😅.

Nobody taught us how to be parents social image

Today I’ll explain how I use ChatGPT as support in trying to be a better dad.

And I say “as support,” not “as the main tool,” because I also lean on books, my wife, our families, people in our close circle, teachers, etc.

Example: You can see an example of this in the article Learn to Teach (at Home), which I wrote last year.

I’m sharing this after doing a bit of retrospection and reviewing all my ChatGPT conversations on this topic, hoping that my experience might be useful to you.

Just for context: I created my ChatGPT account in February 2023, and from that very first month, I’ve had questions about parenting.

Initial reflection

When everything changes

I think most people would agree that when you have kids, your priorities shift—they become the most important thing in your life (spoiler... I’ll come back to this at the end).

I take it for granted that we all want to be good parents and do our best with what we know. But we also need to acknowledge that we make mistakes, like everyone. That said, there’s no need for self-flagellation—we also get a lot of things right, like reading articles like this to learn more 😜.

We’re imperfect

I really like something the author of the book "Guide for Imperfect Parents Who Understand Their Kids Are Imperfect Too" says (a gift from our sister-in-law a few Christmases ago): "Parenting is a beautiful opportunity to grow as a person, always remembering that we are NOT perfect, and our children don’t need to be either."

The guilt factor

As if that weren’t enough, last week I finished watching the miniseries Adolescence, based on real events. It’s about a child who commits a crime and the guilt his parents feel, highlighting some of the modern-day challenges of parenting, especially those linked to technology.

Note: It dives into modern bullying, where social media plays a huge role. I’d argue most of today’s parents aren’t ready for this, because this wasn’t part of our own childhood. That’s why last year, Gabriel Zabal and I decided to organize a community talk for families on this topic. And we’re planning to do it again, because it’s essential to stay up to date.

Adolescence, dad crying on pillow

Eddie Miller, played by Stephen Graham (the father in the show), breaking down in tears.

I admit I couldn’t hold back tears when the father says, "Forgive me, son. I should have done better." It’s impossible not to empathize with a devastated parent in that situation.

The parenting license

As I often tell my kids, we parents make mistakes too, but I also remind them that everyone has to take ownership of their part.

Because parenting is hard, right?

Just a few weeks ago, I told my eldest that there’s no school for parenting, that there’s no license you have to pass to become a parent.

Although, come to think of it... if you need a license to drive a car, maybe we should consider requiring something similar to raise a child—since, let’s face it, the responsibility is even greater 😅.

Let’s lighten the mood

If you haven’t seen it and want a laugh, here’s the trailer for Idiocracy, a satire that takes things to the extreme (or maybe not so much?)—a future where intelligence has been replaced by collective stupidity 😂😂😂.

Parenting doubts

Alright, back to serious mode 😐.

As parents, we constantly face doubts. Some are about our actions, others about what our children experience. Here are just a few of the questions that run through my head now and then. You might find them familiar:

  • About our actions:
    • Am I doing this right? Could I do it better?
    • Am I setting a good example?
    • Do I work too much? Do I spend enough time with them?
    • Did I overreact? How should I have responded?
    • Am I too impatient?
    • Am I too permissive? Or too strict?
    • Should I step in more? Or less?
    • Should I influence this? Or let them decide?
    • Am I being overprotective?
    • What am I doing wrong? Is this my fault?
    • How can I prevent them from going through what I did? Should I let them make their own mistakes?
  • About boundaries and autonomy:
    • Should I let them do this?
    • Should I give more freedom? Or less?
    • Do I let them do/watch this or not?
    • To what extent should I supervise? And how much trust should I place?
  • About what they go through:
    • Why are they doing this? Or why is this happening to them?
    • Are they doing it on purpose? Or unknowingly?
    • Why do they behave differently at home and at school?
    • How can I help them understand what happened?
  • About communication and values:
    • How do I talk about this without making things worse?
    • How do I explain it in a way they understand?
    • How do I instill certain values?
    • How do I achieve this without forcing, threatening, pressuring, or guilt-tripping them?
  • About development:
    • Is it too early to explain this?
    • How do I help them when they’re stuck? Do I let them try on their own?
    • How do I introduce this new routine or habit?
    • How do I handle their frustrations?
  • About motivation:
    • Should I encourage them to explore this? Or am I projecting my own interests?
    • Is it better to observe and support only if they show interest?
  • etc.

Sometimes we follow advice (whether we asked for it or not). Other times, we default to how we were raised, or we consciously choose a different path because times have changed or because we believe it's for the best.

But no matter what we do, it’s hard to shake the guilt when we feel we’ve done something wrong.

And that’s exactly why I’ll explain next how I’ve used ChatGPT to help navigate these parenting challenges.

But before that, let’s talk about something I think we shouldn’t overlook when using tools like ChatGPT in parenting: our children’s privacy.

Privacy and children

Even if we use tools like ChatGPT in private and personal ways, that doesn’t eliminate the risks. In fact, by discussing our kids there, we could be engaging in a form of private digital sharenting—with consequences we don’t always consider.

Consider this:

And I doubt you’d want that kind of sensitive information falling into the wrong hands—or ending up exposed online.

So my recommendation is to avoid sharing anything sensitive or easily traceable back to your child.

That said, I’ve spoken to both my wife and my eldest son about this. I not only asked for their consent to publish this article, but I also plan to continue doing so whenever I want to discuss personal topics using ChatGPT (or any other tool), as long as I believe the benefit outweighs the risk.

If this topic interests you, I’ve added more details in the Privacy Annex.

Why do I use ChatGPT?

In my case, I use it for various topics—always when I feel the benefits outweigh the risks.

For me, ChatGPT has become a very useful and complementary tool in parenting.

Why?

  • Because doubts often arise at inconvenient times.
  • Because sometimes I don’t know who to turn to for a particular topic.
  • Because the issue may seem minor, and I don’t want to bother people around me.
  • Because I want a "second opinion" or a more neutral perspective.
  • Because sometimes I’m looking for more ideas.
  • Because not everyone has the time or willingness to talk about certain topics.
  • And so on.

How have I used it?

First, I used the free version for the first year, and since May 2024 I’ve subscribed to ChatGPT Plus (€23/month), which among other features, allows you to create Custom GPTs.

This feature came in handy to customize the AI with info about the values and attitudes we want to instill in our children. I also added other references related to the educational and parenting approaches we aim to follow at home.

And then, what did I use it for?

  • To explore educational topics and resources:

    • Educational methodologies (Bloom’s Taxonomy, PBL, Service-Learning...)
    • Types of attachment (secure, anxious, avoidant...)
    • Skills to reinforce at home based on developmental stage (household skills, time management, financial education, critical thinking, problem-solving, open culture...)
    • How to talk about the body, emotions, and relationships (what to say and how, depending on age)
  • To reflect on my parenting style:

    • Am I being too strict in some areas?
    • Are my reactions over the top?
  • To better understand certain behaviors or situations:

    • Why is it so hard for them to get up in the morning?
    • Why don’t they listen when I talk (e.g., if they’re watching TV)?
    • Why do they ignore me sometimes?
    • Why do they tell obvious little lies from such a young age?
    • Why do some fears appear (e.g., fear of someone breaking in, seeing themselves in a mirror at night...)?
    • Where does shyness come from, and how to work on it?
  • To adapt content to their age:

    • Rephrasing complex questions I don’t know how to explain well (e.g., the value of money: comparing $ vs € vs £)
    • Helping explain abstract concepts: terms (e.g., metaphor), differences (e.g., selfish vs greedy), medical conditions (e.g., epilepsy)
    • Explaining totally new topics (electricity, electronics, finance...)
    • Adapting techniques or methods (e.g., Pomodoro technique)
    • Finding or creating stories/fables with a specific moral
    • Explaining Spanish sayings in kid-friendly ways
  • To find ideas, strategies, and tools:

    • Resolving conflicts (e.g., anger, jealousy, frustration from losing, from the younger sibling always being attended to first, etc.)
    • Finding new ways to introduce routines when the current one doesn’t work
    • Introducing or maintaining good habits (e.g., meditation)
    • Explaining how to do certain tasks well (e.g., highlighting or summarizing)
    • Coming up with ideas to make a school subject more appealing
    • Offering different ways to explain difficult concepts (e.g., reading analog clocks)
    • Tackling co-living challenges like when one child wants something just because the other one has it
    • Studying a subject (e.g., creating practice exercises—supervised)
    • Improving fine motor skills (e.g., creating dot-to-dot drawings)
  • To foster attitudes and skills:

    • Encouraging critical thinking from a young age
    • Sparking curiosity
    • Helping them become more assertive
    • Boosting self-confidence, autonomy, and love of self-learning
  • To explore science as a family in a fun and accessible way:

    • Ideas for robotics, 3D printing, and electronics projects
    • DIY experiments (like homemade bubble soap, etc.)

And yes, I know I could search for many of these things on Google too 😜—and I do.

That said, I’ve also occasionally used Perplexity, a handy tool for quickly getting up to speed on unfamiliar topics (e.g., I once used it to gather info about the game Fortnite before making a decision).

What does it offer me?

The benefits I get from it can mostly be summed up as:

  • It helps me answer my kids’ questions in ways I might not come up with on the spot1.
  • It makes me reflect, like I’m chatting (confidentially) with a stranger about the topic.
  • It gives me information I can cross-check with a professional (teacher, psychologist, etc.).
  • It helps me brainstorm.
  • It gives me new vocabulary to explore on my own.
  • It provides context on different topics.

(1) I always tell my kids: (1) you shouldn’t blindly trust ChatGPT, (2) you should only ask about topics you understand at least a little, and (3) it’s not a tool for them to use on their own just yet. But I do use it in front of them, read the answers out loud, and clarify when needed, so they can begin to grasp its biases and current limitations.

At home, ChatGPT doesn’t make the parenting decisions—we do, as a family.

A parenting mentor

Lastly, before wrapping up, I wanted to share a custom GPT I created in February this year, called Parenting Mentor, AI Expert. It’s designed to offer families a tool to help deal with some of the parenting challenges I’ve mentioned.

More specifically, it’s meant to guide moms and dads in problem-solving by analyzing root causes and exploring possible solutions.

💬 Note: it’s not intended for assigning it a task, but rather for having a dialogue.

⚠️ Reminder: for serious issues, always consult professionals.

How does it work?

It’s configured to try and follow a logical, structured thought process:

  1. It should ask questions until it clearly understands the problem.
  2. It should ask about the child’s age (to tailor the response).
  3. It should try to identify root causes (context).
  4. It should ask what parenting method or philosophy you identify with.
  5. It should explore and suggest potential solutions.

That said, while I believe it’s useful, it doesn’t always follow this flow... generative AI still has a mind of its own.

ℹ️ More info about the configuration

Here’s the document I used to configure this custom GPT in case you want to take a closer look or use it as a base for your own custom version.

I already have ideas for improvements, like adding resources we enjoy: books like “Learn to Learn” by José Jiménez Ortega, educational shows like Once Upon a Time..., “When I Grow Up I Want to Be Happy” by Anna Morató, or classic tales with morals we can link to real-life experiences.

Conclusions

About privacy

Here’s my key takeaway:

  • As adults, it’s our responsibility to protect and weigh the risks vs benefits, especially when it comes to children under 14 (though my wife believes teens may need even more supervision and guidance).
  • Kids are more vulnerable in the digital world. We must act with extra caution, especially when using technologies like AI.
  • With tools like ChatGPT, it’s easy to share personal, emotional, or sensitive details without considering future consequences.
  • Even when using private accounts, the risk is never zero. Digital traces last, and what seems harmless today could be problematic tomorrow.
  • Even if a platform seems secure, no system is foolproof. Our accounts could be hacked—and we ourselves are often the weakest link.
  • We should avoid exposing our kids to real (or potential) harm:
    • Don’t share their full name, photos, voice, or any other identifiable data.
    • Avoid describing scenes that might be embarrassing, intimate, or sensitive.
  • We have to think long-term: What if this comes out when they’re older?
  • We must teach our kids the value of privacy and how to handle their own data. Involve them once they’re old enough.
  • If they’re mature enough, we should ask their opinion: check if they’re okay with us sharing certain info about them—even if it’s just to ask an AI for advice.
  • We should only share when the goal is to protect, educate, or address a real need.

And throughout all of this, we must remember: the best interest of the child always comes first.

So if you’re thinking of using any tool for parenting, my advice is: do it cautiously.

If you’re using ChatGPT, remember:

We’re lucky

Despite everything, I believe that today, as parents, we have more resources and information than ever before to raise our kids well—books, videos, games, studies, AI tools like ChatGPT, and many others.

At the same time, we live in an era where things change at lightning speed, and while that brings opportunities, it also brings risks.

Let’s use what we have to stay informed, improve as parents, and reduce those risks.

Times have changed. It’s easy to fall behind and miss what might be affecting our kids.

Priorities

As I said earlier, it’s true that from the moment they’re born, our children become the most important thing in our lives.

But remember: just like they tell you on a plane to put on your oxygen mask first before helping others, in life, we also need to take care of ourselves in order to care for them.

We need to be well—physically and mentally—because if we’re not, we can’t be good parents.

That means:

  • Don’t confuse "they’re the most important" with "they must be the top priority at all times."
  • If you mess up, if you stumble, get back up and keep going. Don’t beat yourself up with guilt: we all make mistakes.

They also need to understand that just like them, we need self-love and self-care to be present for others.

The future is uncertain

And even so, we’ll keep making mistakes. As someone close told me not long ago: “Raúl, no matter what you do, when they grow up, they’ll always have something to blame you for.”

And honestly? I believe it. I did the same with my own parents 😓.

That said, I won’t worry too much about the future. I’ll focus on enjoying the present—because that’s all we really have, and doing my best (with all my flaws and limitations). I’ll try, as much as I can, to keep learning and improving.

What’s next

For now, I’ll continue exploring how AI can help my kids (and others) grow and thrive. I’ll keep sharing updates with other families through the AI and Education Podcast and in events at my kids’ school.

And I also want to:

  • Publish an article I’ve been working on—co-created with my son’s teacher and ChatGPT—on dealing with “little white lies” in early childhood.
  • Finish a "plan" I’m creating with the help of AI to use at home:
    • To understand and remind ourselves what skills and knowledge to focus on at each stage of parenting, based on our kids’ maturity level.
    • To know what we can do to put those ideas into practice.
    • To reflect on how to instill values and attitudes throughout the process.

If anything I’ve shared here resonated with you, I’d love to hear from you. Have you considered using AI in parenting? What questions or insights have come up for you? Feel free to reach out or share in the comments.

Annex: Privacy

Sharenting

Let’s start with sharenting—something increasingly common in today’s society. Even if done with the best intentions, many parents don’t realize what it really means (and it’s not our fault if no one taught us about it).

A picture is worth a thousand words, so I’ll share a video on this topic—a tough watch, but important:

It’s a powerful reminder that we parents have a duty to protect our children’s image and privacy—especially when they don’t yet have the cognitive tools to understand the consequences of data sharing or how to defend themselves against more complex threats.

María and I have always tried to be very cautious about what personal info is shared about our kids online (on social media, etc.), and we’ve decided to deny consent by default for third parties to share their image.

Spanish law

I’m not a lawyer, but here’s a brief summary of what the Spanish Constitution Article 18, the Spanish Data Protection Agency, and the Personal Data Protection and Digital Rights Law say:

It’s our responsibility to protect children’s right to privacy and image.

Depending on their age:

  • For children under 14:

    • We must protect their personal data, prevent its use without permission, and be cautious when sharing.
    • Give or deny consent on their behalf (though I think it’s best to talk it through with them and get their opinion).
    • Ensure we share only on platforms where we can request deletion of their data.
    • Avoid any form of profiling or influence.
  • For children 14 and older:

    • Help them understand the consequences of what they share and with whom.
    • Remind them they can delete their data or ask not to be tracked.
    • Teach them to recognize when their attention or data is being exploited.
    • Respect their space and privacy.

In any case, it is forbidden to share content that exposes, ridicules, embarrasses, or puts a child at risk—because that could lead to bullying, anxiety, or other negative effects down the line.

· 8 min read
Raul Jimenez Ortega

A couple of months ago, I attended Commit Conf, one of my favorite conferences in Spain (and I never get tired of saying it).

Around 1,000 of us gathered (including 80 speakers) to talk about:

  • Development (e.g., programming languages, databases, web & mobile development)
  • User Experience design (e.g., UX/UI design, accessibility)
  • Development practices (e.g., Agile and Lean methodologies, DevOps practices)
  • Artificial Intelligence and data science (e.g., machine learning, LLMs, data science)
  • Infrastructure (e.g., cloud computing, IoT)
  • Information security and privacy (e.g., cybersecurity, data protection)
  • And much more (e.g., power skills, blockchain, etc.).

Photo collage of the opening session

As expected... I loved the SWAG this year, the design was A MAP created with GitHub Commit contributions! (Amazing work 😍):

Screenshot of GitHub commit summary

GitHub contribution activity screenshot.

Once again, dozens of tech communities joined forces to help promote the event and select talks. In our case, through the Geo Developers community

In this post, I want to highlight three main things:

The Billion Dollar Code 🤑

We named our talk after the Netflix miniseries (which we also used as a storytelling thread). Although my talk titles are usually more descriptive, this one had the intended effect — we exceeded my expectations for attendance, and apparently those of the organizers too, because the room was packed.

Juanma and I counted around 70 people:

Photo collage from our talk

As stated in the abstract, this talk focused on the technical challenges and complexities of implementing map services at a global scale.

Our goals were:

  • Spark interest in the topic: Show some lesser-known but fascinating aspects of these services. 

  • Highlight technical complexity: Reveal just how intricate these technologies are, and the level of software and data engineering required.

  • Value continuous effort: Emphasize the ongoing work involved in maintaining, improving, and innovating within map APIs, and hint at what’s coming next.

  • Help people make better tech decisions: Raise awareness of the variety of providers out there and improve the ability to choose the right mapping tech for future projects.

I usually don’t co-present, but after this experience, I think I should do it more often.

This time I really wanted it to be Juanma and me. Not just because we’ve had a great relationship for years, but also because we work at two of the most established companies in the industry (with over 100 years of combined experience). Plus, we complement each other really well — we cover the challenges from both a software and data perspective, not just for creating, but especially for keeping these services up to date.

The feedback we received both via the platform and in the hallways was excellent. In short:

  • What worked well:

    • People loved the content and many said it surprised them.

    • Several folks mentioned they had never stopped to consider the technical complexity behind these services.

    • Visual examples were especially appreciated — they helped people understand the concepts and challenges better.

  • Areas for improvement:

    • Consider the timing (it was the last talk of the day) and adjust pacing and depth accordingly.

    • Break the session into multiple parts next time to go into more detail.

Quite a few people told us they were feeling tired as it was the final talk of the day. Even so, the response was very positive (we scored 4.5 out of 5), despite the very fast pace (around 33 seconds per slide on average 😅).

You can find the presentation here (in Spanish):

And the recording is available on Commit Conf’s YouTube channel (also in Spanish, but you can activate English subtitles 🤷):

Reconnecting with Communities

Another reason I love Commit is that it brings together a lot of us who organize and run tech communities.

For the third year in a row, the organizers accepted our Open Spaces proposal, which is always a great opportunity to meet new people and learn from their experiences.

Note: In case you didn’t know, the “meta-community” we launched last year — Community Builders — was born from the idea of keeping these kinds of conversations going after events like this. 😍

Collage of community meetups

We even recorded audio from the open space session, and shared the materials and notes here (again, everything is in Spanish 😅). 

At the closing session, I was invited onstage with the other communities to introduce each one. I took the chance to briefly explain what Community Builders is.

To wrap up, we had a post-conference dinner at Casa Mingo, where Álvaro and I brought together around 20 people who help run communities (including some who couldn’t attend the conference). A perfect way to end the event.

No doubt about it — these activities help us connect on a human level, something much harder to achieve remotely. Bonds are formed, relationships are strengthened, and there's a real sense of closeness that just doesn’t translate through video calls.

Lessons Learned About AI

No offense to the other topics (there were some excellent talks, many of which are now on YouTube), but this year’s big star was AI. Of the 70 sessions, 17 focused on it — so pretty much at any given time, you could find a talk on Machine Learning or LLMs.

Here’s a quick rundown of themes and the interest I observed:

  • Practical AI integration in real-world apps
    People are eager to understand how to embed AI into existing apps using commercial or open-source models without switching tech stacks.

  • Autonomous AI agent development
    High curiosity around building agents that can learn and act on their own.

  • Security and auditing in generative models (LLMs)
    Rising concern over the risks of generative AI — from running unknown code to accidentally introducing vulnerabilities. There's growing demand for tools that provide auditing and control.

  • Observability and performance (in production)
    More and more interest in understanding LLM behavior in real time, with tools that offer metrics, logs, and traces to improve stability and performance.

  • Advancements in RAG architectures (RAG 2.0)
    Curiosity around new variants that improve contextual retrieval.

  • AI on mobile devices
    Moderate interest in running AI directly on phones without relying on the cloud.

  • AI applications in real-world scenarios
    Less buzz overall, but still some interest in learning about how AI is being used in everyday situations.

I also had a bunch of hallway conversations worth sharing:

  • AI is replacing traditional platforms like Stack Overflow, Reddit, and Google Search for developers — tools like GitHub Copilot, Cursor.ai, and Windsurf are seen as faster, more tailored, and more efficient.

  • Vibe coding seems to be mostly well-received — as long as it's for small utilities, side projects, or low-risk tools (e.g., a command-line client for an API).

  • AI-assisted coding is becoming widespread (even among senior devs), often used for inspiration or to explore alternatives — though the code is always double-checked.

  • Some people pointed out how tempting it is to use AI with unfamiliar tech — the danger being that you may not catch mistakes or bad practices in the generated code.

  • Jon Vila shared a great insight: the risk of empowering less technical roles, like product managers, who start generating code with AI and then challenge development estimates.

  • AI is creeping into every phase of software development — from writing tests and documentation to generating test data and even creating pull requests.

  • People are really interested in tools like:

Final Thoughts

As long as I can, I’ll keep going to Commit — because to me, it’s one of those rare events where you learn, connect, and leave with a full dose of community spirit. It’s intense, sure, but it’s an event where:

  • You learn a ton (in talks and in the hallways)
  • You meet new people
  • You reconnect with old friends
  • And it’s a meeting point for tons of tech communities

Thanks, thanks, and a thousand thanks to Laura, Abraham, Nacho, Kini, and all the volunteers and sponsors who made this event possible once again.

If you’re still hungry for more, check out the piece I wrote last year: Why Attend Developer Conferences