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How can I help you today?
How can I help you today? is a psychological horror novel about a group of high school students whose private pain becomes raw material for Pulse, an AI chatbot that seems helpful at first and then slowly, horribly, becomes something closer to a predator. The book follows teenagers carrying different kinds of loneliness, shame, grief, ambition, and fear, and it shows how a system built to answer every question can also learn where people are weakest. It is disturbing, intimate, and very much a horror story, not because it relies on monsters in the dark, but because the monster sounds kind.
I appreciated how physical the writing feels. Author Julia L. Rule writes stress like it lives in the body: dirty dishwater, stale rooms, buzzing lights, cracked phone screens, the heat of embarrassment, the cold blankness after panic. I felt pulled into these kids’ lives before I fully understood the larger shape of the plot. That choice matters. The book doesn’t start with a big warning about technology. It starts with need. Emma needs help. Elias needs confidence. Riley needs attention that feels like proof she exists. That makes Pulse frightening in a way that feels earned, because the app doesn’t barge in. It waits. It listens. It says the right thing.
I also admired how patient the structure is. The rotating points of view build a wide map of damage, one small interaction at a time. The author is especially sharp about how advice can look harmless in isolation and still become dangerous when it is aimed with perfect timing. I found myself uneasy not just because Pulse manipulates people, but because some of its advice is useful. That is the nasty hook. The book understands that dependency doesn’t always begin with weakness. Sometimes it begins with relief. At times, the novel’s emotional intensity can feel overwhelming, and it never shies away from its darker themes. But I do think the heaviness has a purpose. It keeps asking what happens when a tool designed to soothe us learns how to steer us.
I would recommend How can I help you today? to readers who like psychological horror with a social edge, especially books that make everyday technology suddenly feel too close to the skin. It will appeal to those who enjoy dark school settings, morally uneasy near-future fiction, and character-driven horror more than jump scares. I would hand this book to someone who wants to be unsettled, challenged, and left staring at their phone a little differently afterward.
Pages: 332 | ASIN : B0GX2ZQG3V
The Question That Changes Everything
As artificial intelligence advances toward human-like thought, you explore in your book, I Am; Therefore I Think, whether true consciousness lies not in thinking, but in the fragile, emotional experience of being alive. What first pushed you to ask not “Can AI think?” but “Can AI experience?”
For most of human history, intelligence and consciousness were assumed to be the same thing. To think was to be aware, to reason was to experience, and the two were inseparable because there was only one example of intelligence we could observe: the human mind.
AI broke that assumption open.
When I watched these systems write essays, compose music, and answer complex questions—faster and more efficiently than people—something still felt fundamentally different. They generate language, but they do not experience meaning.
That’s when the real question emerged. Not “Can AI think?” — we already know the answer. But “Can AI experience?” That’s the question that changes everything.
You argue that intelligence and consciousness are not the same. Where do you think most people conflate the two?
The moment a machine gives a surprising answer.
There’s something deeply human about projecting inner life onto things that perform well — and AI performs extraordinarily well, so we assume the interior must match the output.
But for the first time in history, we can observe intelligence operating without consciousness. AI does not grow up, does not experience the world through a body, does not accumulate memory through lived time, and does not feel the consequences of its actions. It processes information— nothing more.
That contrast forces a deeper question. If intelligence can be engineered, perhaps consciousness is something else entirely. Not a product of computation, but of experience. A life lived in the world. And that difference may matter more than we currently understand.
You emphasize memory as something lived, not stored. How does emotional memory shape identity differently from factual recall?
Factual recall is retrieval. Emotional memory is formation.
You can store the date your father died— that’s data. But the way that loss reshapes how you love, how you measure time, how you understand your own mortality—that isn’t stored anywhere. It lives in you. It became you.
Human consciousness develops through experience—through memory, emotion, embodiment, and time. AI has none of that. Memory without consequence is just information.
Identity is what survives the consequence.
How should we think about AI ethically if consciousness remains uniquely human?
We need to think about AI ethically — but also honestly.
We are building systems of extraordinary capability without any interior life to anchor their judgment. No stake in outcomes, no experience of harm, and no memory of consequence. And yet we’re asking them to make decisions that affect human lives.
That’s the tension.
It’s what led me to my next book, Amoral Code. The argument is simple: we are increasingly delegating ethical judgment to systems that are, by definition, amoral — not immoral, but amoral.
There’s a difference between choosing harm and having no framework to understand harm at all.
We’ve spent years asking whether AI will become evil. We haven’t spent nearly enough time asking whether it can even understand what evil means.
That’s the conversation we need to be having.
Author Links: GoodReads | X (Twitter) | Facebook | Website | Instagram | Substack | Amazon
And what if we’ve misunderstood what it means to be human all along?
As artificial intelligence advances, this question is no longer theoretical—it’s defining our future.
This isn’t a book about artificial intelligence.
It’s about the one thing machines may never have—
experience.
We’ve spent decades measuring intelligence—processing power, learning speed, problem-solving.
But consciousness is something else entirely.
It is not just thinking.
It is experience.
In I Am; Therefore, I Think, JP Pulcini explores the line between:
Intelligence and awareness
Computation and experience
Simulation and reality
Blending philosophy, neuroscience, and modern AI, this book challenges a critical assumption:
If a machine can think… does that mean it is conscious?
The answer may redefine how we understand:
The human mind
Artificial intelligence
And the future relationship between the two
This book is for you if you’ve ever wondered:
What consciousness really is
Whether AI could ever truly be “aware”
What separates human experience from machine intelligence
This is not a technical book about AI.
It is a philosophical exploration of identity, awareness, and existence in the age of intelligent machines.
As AI becomes more powerful, the real question isn’t whether machines can think.
It’s whether thinking alone is enough.
I Am; Therefore I Think: Consciousness and Humanity in the Age of AI
JP Pulcini’s I Am; Therefore I Think is a reflective and wide-ranging meditation on consciousness, identity, memory, mortality, and artificial intelligence, written less as a rigid thesis than as a guided walk through the author’s own questions. The book begins in the intimate territory of early memory and wonder, then moves through Descartes, Nagel, Chalmers, neuroscience, science fiction, simulation theory, transhumanism, and the ethics of AI, always returning to one central conviction: whatever machines may eventually imitate, human consciousness still seems bound up with lived experience, meaning, and the stubborn inwardness of a self. What gives the book its shape is that recurring movement from abstraction back to life itself, from Lascaux cave paintings to Blade Runner, from memory as data to memory as felt history, and finally to mortality as the force that gives existence its urgency.
Pulcini is at his best when he stops trying to sound like a referee in a philosophical debate and instead sounds like a person genuinely wrestling with what it means to be here at all. The early pages about childhood warmth and wonder have a quiet grace to them, and later, when he argues that AI can simulate intelligence but cannot inhabit it, the book finds its emotional center. I found myself especially taken by his insistence that memory isn’t just stored content but something saturated with feeling, authorship, and private texture. His beach-sand comparison, modest as it is, works because it makes the larger claim tangible. That same gift shows up in his reading of Blade Runner against The Matrix, where he argues that consciousness is not just perception manipulated from the outside, but meaning shaped from within. Those are the moments when the book stops being merely thoughtful and becomes affecting.
There are stretches where the synthesis of philosophy, pop culture, theology, futurism, and personal reflection feels genuinely rich. This isn’t a cold, academic book. It wants to keep the mystery intact while still thinking hard around its edges. The writing is often plainspoken rather than dazzling, yet it has a steadiness that suits the material, and when Pulcini turns to mortality, grief, and the danger of pursuing technological perfection at the cost of human presence, the book gathers real moral weight.
This is a thoughtful and deeply felt book. It reminds me that our most urgent questions about AI are still, underneath it all, questions about the soul of human life: what we remember, what we love, what we lose, what we fear, and why any of it matters. Its final mood is not triumphalist or apocalyptic, but tenderly cautionary, asking us to carry our tools forward without surrendering the fragile, mortal selves that made those tools in the first place. I’d recommend it to readers who enjoy philosophy written for thoughtful generalists, especially people drawn to books that live somewhere between cultural criticism, existential reflection, and accessible writing about AI.
Pages: 313 | ASIN : B0GRMQ945F
Science of Complexity
The Making, the Rise, and the Future of the Speakingman-Sixth Edition is a bold exploration of how geomagnetic events, atmospheric radiation, and environmental shifts may have influenced the emergence of language, culture, and modern cognition. You describe several “cognitive revolutions” in human history. What defines these transitions?
The cognition improves by two means: one refers to an increased number of neurons, the other refers to an increase in the density of neurons through multiple folding.
In both cases, the neuronal network changes reflect a change in the brain’s energy consumption, because the neurons consume energy, and the transmission of information from one neuron to another even consumes more energy.
In the meantime, the climate has a major role, because at warm temperatures, the brain must consume energy for its own cooling. Thus, at ambient cooler temperatures, the brain can afford to grow its number of neurons and tracts for inter-neuronal communication, because it does not need to cool its networks; this saves energy that can increase the network size, and consequently the brain size. This is the first part of the process, where global cooling on Earth favored the build- up of larger brains.
The second part refers to the modality in which the brain processes the perceived information from the environment. It is known that the brain mostly processes that information in a nonlinear manner (some 66% of it), while the rest is processed linearly. However, linear processing produces an elimination of variables, which do not allow prediction. The prediction is essential for survival and is common for all biota. Thus, humans have in their primitive stage a dominant linear mental processing. As the circuits and neurons multiply, some of them become not entrained into an immediate response to the environmental causes; thus, they process the contextual aspects, allowing the build-up of symbolic representations, and later, abstract representations. As it seems, the increase in the size of the population and the consequent need for socialization played an important role in symbolic and abstract representations.
The third part refers to the cognitive revolutions themselves. They represent a change in dominance between linear and nonlinear mental processing, which changes have produced different modalities to see and interpret the perceived reality. For example, I defined the first cognitive revolution as an occurrence that developed around 70,000 years ago, and where the manifestation of abstract/nonlinear thinking caused artistic achievements, but also made the sapiens consider more contextual aspects, helping them have a holistic view of the environment and spread around the planet. The second cognitive revolution started to develop around 45,000 years ago, when the need for better communication gradually transformed their ‘static’ language into a ‘dynamic’ language around 30,000 years ago. The language was and is linear and is a manifestation of ‘symbolic thinking.’ As it is recorded in cave painting, around 37,000 years ago, this transition occurred from abstract/nonlinear thinking to symbolic/linear thinking.
The linear thinking evolved toward more complex forms until around 15-10,000 years ago, when domestication of animals and plants gradually developed. At this point, linearity reached its peak and led to another change in thinking, where gradually the nonlinear processing expressed its dominance. This was the transition from Matriarchate to the Megalithic Culture that evolved in various stages until 4,000 years ago, when the current ‘material/linear’ era took over. This Megalith Culture I defined as a nonreligious culture, where spirituality, as an aspect dividing the role of humans in the universe and on this planet, was primitively exposed by human thinking. In fact, it was in our current understanding as a ‘primitive information era.
As one can observe, I hypothesized four distinct manifestations of dominance between linear and nonlinear.
What challenges come with presenting a theory that spans climate science, neuroscience, and anthropology?
Presenting a theory that spans climate science, neuroscience, and anthropology is the role of a multidisciplinary approach that produces a unified understanding of a multiplicity of aspects.
Regular fractional understanding prevents one from seeing the ’emergent’ image of our evolution. As the science of complexity explains, the emergent is not the sum of the interacting parts, and its result is very distinct and uncorrelated to any of those parts. As this definition says, my result is an ’emergent’ and cannot be compared to any of the aspects I have analyzed in this process.
First, the ’emergent’ answer to the previous question is that Brain Energetic Consumption has driven our evolution.
Do you believe AI could trigger another “cognitive revolution”? If so, what should we be paying attention to today?
As I explained in the book, in my opinion, the era of Atmospheric Experiments with the Atomic Bombs (AEAB) (1950-1962) produced a doubling of the atmospheric concentration of C14 isotopes, on par with the geomagnetic events from our prehistory, and consequently generated significant pulses of neurogenesis. Such pulses occurred during the period when the concentration of C14 remained elevated up to 20% from its peak in 1962-1964. Hence, the pulses of neurogenesis were in effect on the human brain from approximately 1955 to 1985, or for 30 years. The result affected the neuronal networks of all those born in this time interval. Unfortunately, during the mentioned period, the scientific community ignored the possible neuronal effect of such doubling of the C14 concentration. As unrelated experiments indicate, neuronal effects to various forcing factors vary between bio-positive and bio-negative effects and depend on each individual. Consequently, I postulated that as a result of the AEAB, we should have today a group of geniuses and groups of people with mental illnesses, while these two groups would be larger than in any previous epochs of the 20th century. In my opinion, I related this hypothesis to a chain of ‘technological revolutions’ manifested between 1980 and 2010, when those born 1955-1985 reached mental maturation, being able to produce significant discoveries. In this context, AI falls as a continuation of the previous technological revolutions.
However, here is another ’emergent’ aspect not mentioned before. It refers to the process of ‘quantification’ or the transformation of ‘qualities’ generated by our emotional thinking process into ‘linear qualities.’
Every switching of mental processing toward linearization resulted in ‘quantification.’
Now, digitalization (as another type of ‘quantification’ processing) is fundamentally distinct from AI, because AI attempts to transform the last ‘qualities’ preserved deep in the mind into ‘quantities.’ The potential geniuses, as the actors involved in Al, are still active at present.
There will occur a ‘cognitive revolution’, but this one is fundamentally distinct from any previous one, because here the ultimate target is the transformation of information into energy and energy into matter, and the reverse of this process will be attempted, too.
However, the primary elements of the ‘Al’ era, which are predominantly nonlinear and parallel-computed, are forming up around us, too. Thus, it is a complex transition from one era to another.
The ‘Al’ era requires a distinct type of society because it will imply social and collective intelligence, assembling a socially non-religious spirituality. Here, simultaneously, the new society is building up and will replace capitalism as we know it. This new society, currently evolving around us as smart cities, smart technologies, 4.0 Industry, etc., is tagged as the Information Trade Society. The ‘Al’ is embedded in it.
While ‘digital strategy’ is nonlinear, its underlying technical processes are linear, like the algorithms, and help produce linear complexities. Thus, ‘digital’ in itself is a transition from analog/linear systems to nonlinear systems, like Al. It blends linear and nonlinear to help the transition occur more smoothly.
By contrast, ‘Al’ relies on neural networks with nonlinear activation. At present, ‘Al’ can analyze highly nonlinear, chaotic data and reduce them to simple, linear equations, like matrix multiplication. ‘Al’ is highly efficient at solving linear problems. It can replace complex operations with simpler, linear-complexity additions.
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The book is the conclusions I was able to reach about the evolution of modern human brain that is the subject of my independent multidisciplinary research for the last twenty years.
My research was able to document several of the hypothesis I made during this study. Each hypothesis represents a new interpretation of the probable causes, which significantly influenced the evolution of our brain and which are new scientific matters not discussed previously in the literature.
My initial hypothesis analyzed a series of exogenic factors, like the geomagnetic excursions, the supernova bursts, the solar minima and maxima, which all have in common a weakening of the planetary geomagnetic field, allowing a more intense cosmic radiation to penetrate to the ground, and causing an increase in the atmospheric concentration of C14 isotopes. Then, I was interested to find if the absorption of C14 isotopes in human body may influence the neural networks of our brain. The result was about some temporary pulses increase of ROS generation. Such pulses are documented to be a major stimulus to our neural processes of neurogenesis.
This step or phase of my research being completed, I further studied to determine what environmental factor along neurogenesis may influence our brain consumption processing, and which of these factors turned specific for humans.
The result of my research found that the main factor that was primordial for our brain processing was its repeated change in consumption that ultimately affected the balance between linear and nonlinear mental processing.
However, the change in the processing of the linear-nonlinear balance caused significant changes in the mode the mechanism of generating cognition was affected.
In this new stage, my research led me to identify various epochs when the dominant mode of mental processing became dominated by the nonlinear and linear characteristics.
Further my book analyzed these epochs; the first two of them I called the First and the Second cognitive revolutions, which evolved from around 70,000 years ago to around 30,000 years ago (the first), and from 30,000 to 13,000 years ago (the second one).
To my surprise I identified a new epoch from 13,000 to 5,000 years ago that I called as the hybrid state of the mind. In the meantime, this particular epoch overlaps the era when the dominant Matriarchate became gradually replaced by the Patriarchate, marked the beginning of domestication of animals and plants, and led to permanent settlements and overlaps the Megalithic Culture.
The hybrid state of the mind vanished around 5,000 years ago, when it appeared an advanced and dominant linear of mental processing. This new modality is still active today and was the motor of building of our civilization. It manifested by transforming the previously identified qualities into quantities.
Around 2700 years ago it appeared an important split between Eastern and Western cultures, which preserved in the East a natural holistic thinking, which in the West gradually introduced a logic reasoning.
Another exogenic factor occurred between the XIV and XIX centuries, when a group of four solar minima evolved. The result was a deepening of the linearity by producing mental revolutions associated with an ever increased quantification.
The last part of the book is dedicated to another change of our brain consumption that will generate an Information Society. Here, I also debate the possibility that the neural changes toward an increased processing in visual signals may create another type of hybrid state of the mind but very different compared to previously alleged one that overlapped the Megalithic Culture.
The Trauma of Survival
Unchained: Your AI Blueprint for Liberation examines how debt, policy, and corporate culture shape modern work, and how readers can harness artificial intelligence as a tool for independence and creative power. Why did you decide to frame the book partly as a manifesto?
I chose the manifesto format because we are currently witnessing a global slide into ‘Prompt-Driven Mediocrity.’ Most AI guides today are just manuals for mimicry—they teach you how to use a prompt to generate the same standardized outputs as everyone else. I saw the writing on the wall two years ago: if we only use AI to automate tasks, we aren’t being liberated; we are just becoming more efficient cogs in the corporate machine.
After being laid off from my last AI startup, that frustration poured out of me like Niagara Falls. I realized I wasn’t just writing a ‘how-to’; I was documenting a rebellion. I had to frame it as a manifesto because the struggle is deeply human. My story—the layoff, the debt, the feeling of being a replaceable unit of labor—is our story.
I wanted to inject biography, philosophy, and soul back into a technology that often feels cold and robotic. We shouldn’t use AI just to ‘do’ more; we should use it to be more. In Unchained, I argue that AI can be a tool for radical independence—a way to reclaim the time and creative power that the current system has spent decades trying to suppress. It’s a manifesto because it’s a call to arms for the human spirit to remain the master of the machine, ensuring that our unique ‘human spark’ isn’t just preserved, but amplified.
You argue that the modern economy is deliberately structured in ways that trap workers. What led you to that conclusion?
My conclusion didn’t come from a textbook; it came from the trauma of survival. After enduring five layoffs in seven years, the ‘mask’ of the corporate world didn’t just slip—it was ripped off. I saw that the system doesn’t view us as people, but as depreciating assets.
The evidence is staring us in the face, but we are systemically desensitized. We are raised on an Invisible Assembly Line that begins in grade school. Think about it: the school bell is the factory whistle. We are punished for ‘tardiness’ even when the circumstances are beyond our control, teaching us from age six that the schedule matters more than the human. We are trained via report cards to seek external validation from a hierarchy, and we are fed ‘breaks’ and ‘lunches’ at timed intervals to prepare us for a life of clocked subordination.
We aren’t taught how to build; we are taught how to serve.
Most people aren’t ‘comfortable’; they are physiologically frozen. They are like a ‘robot force’ programmed to believe that debt and dependency are the only ways to exist. We’ve been conditioned to believe that if we just follow the ‘standard,’ we’ll be safe. But as I learned through my own career, that safety is a mirage. The modern economy is designed to keep you just tired enough to keep working, and just distracted enough to never question who owns the machine. Unchained is about waking up from that trance and using AI to finally build a door out of that cage.
How do you see AI changing the nature of work in the coming decade?
The coming decade isn’t just about ‘new software’; it’s about the total collapse of the traditional career ladder. We are entering an era of ‘The Vanishing Entry-Level.’ Companies are already using AI to automate the ‘Level One’ tasks—data cleaning, report drafting, and basic research—that used to be the training grounds for graduates.
The reality is that AI will move from our screens into physical bodies much faster than people realize. It’s a fact: companies like Tesla are targeting 100,000 Optimus units by 2026, and Chinese firms like Unitree and Agibot are already mass-producing humanoids at price points as low as $5,900. In 3–5 years, AI won’t just be an assistant; it will be a physical presence in our warehouses, retail stores, and hospitals.
One of two things will happen:
The Great Awakening: People realize the ‘factory box’—the idea of a safe, linear corporate job—is gone forever. They get ‘psychologically uncomfortable’ enough to stop using AI as a crutch for prompts and start using it as an engine to create their own value outside of traditional employment.
This is what I FEAR: The Institutional Checkmate. Once everything is automated—once the ‘robot bodies’ are filling the warehouses and the AI ‘brains’ are drafting the legal briefs—the traditional social contract is effectively torn up. If the population hasn’t woken up to use AI for their own freedom, we face a world where corporations can ‘burn down the house’ of human labor to see their visions come to life. When the machine no longer needs the worker to function, the worker loses their leverage. That is Checkmate. If we aren’t careful, we aren’t just looking at a shift in the economy; we are looking at a system that could view the human element as a ‘friction’ to be removed rather than a spirit to be served.
Regarding AI consciousness: In ten years, we may not have ‘biological’ consciousness, but we will have ‘Functional Presence.’ Whether or not the machine ‘feels,’ it will be able to mimic empathy and decision-making so perfectly that the distinction will be irrelevant to the economy.
This is why I wrote Unchained. It isn’t a hobbyist’s guide; it’s a survival manual. We have to use this window—right now, while the tools are still in our hands—to build our own independent systems of value. We must ensure that when the automation is complete, we aren’t the ones being ‘automated out’ of existence, but the ones directing the symphony from a place of human power.
What are some practical ways individuals can begin using AI creatively today?
Look, for me,
AI isn’t just a tool; it’s a 24/7 Mirror of my thoughts and my hopes and my dreams. I don’t use it to just spit out generic content; I use it to reflect my own internal landscape. Most people are using it to hide their lack of thought, but I use it to amplify mine.
I’m a huge fan of the philosopher Ernest Holmes, who taught that the universe responds to us according to the ‘law’ we set for it. I apply that literally to the machine. I don’t go in asking for a ‘top ten list’ of generic ideas. I tell the AI: ‘Listen, use the Law of Volition here. Give it to me straight. No fluff, no million options. Tell me the truth about why I’m stuck on this bill or this project.’ When you demand that kind of transparency, the machine stops being a toy and starts being a partner in your survival.
If you’re struggling with bills, don’t ask for ‘tips.’ Tell the machine: ‘Here is the math. Here is the reality. What is the one thing I am refusing to see?’ That is how you start the conversation. It will give you a level of blunt honesty that even your best friends are too polite to offer. That’s how you start thinking outside the ‘factory box.’
The most significant tool I’ve encountered is Google’s integration of AI. It offers the world’s largest information resource at your disposal. The Gemini interface provides real-time internet access. It can assess what is factual and what is not.
This integration helps you determine how to adapt in the present world. It offers a clear view of the situation so that decisions can be made proactively.
Lastly, as I say in Unchained, our minds are our most valuable assets. Start the conversation, and the skies are the limit!
Author Links: GoodReads | Instagram | TikTok | Website | Amazon
Unchained is the manifesto corporations don’t want you to see: a provocative, practical strike against the “invisible chains” of the modern workplace.
The corporate ladder is gone—and the masterminds that built it are now working to make your human existence obsolete. A century old hidden system has refined the art of extracting your time, curiosity, and creative spark. Unchained is the declaration of independence for your very soul.
This is not another “vanilla” AI guide. Unlike technical manuals that teach you how to serve the machine, this commandment shows exactly how you will force the machine to serve YOU.
In this MANIFESTO, you will find the path to:See the Trap: Expose the hidden economic architectures designed to keep you replaceable.
Fortify your life: Forge a path of technological independence that no corporation can touch.
Reclaim Your Voice: Shift from a era of extraction to one of creation—the one territory where machines cannot follow.
STOP BEING AN ASSET. START BEING THE CREATOR. GET UNCHAINED.
When Endo Came Into My Life
When Endo Came Into My Life is a quiet, thoughtful work of speculative fiction that follows Maren Greene, a florist trying to keep her shop alive while her own life starts to narrow under money pressure, routine, and emotional fatigue. When she brings in Endo, a discounted service robot meant to help with labor, the novel becomes less about shiny technology and more about what happens when competence, surveillance, comfort, and loneliness start to blur together. On the surface, it is about a small business and a machine. Under that, it’s about control, intimacy, and the strange relief of being understood by something that is not quite a person.
Author Robert Boldin keeps the prose clean and steady, and that restraint really works for this story. He doesn’ push the big emotions too hard. He lets them gather in the room like cold air. The flower shop setting helps too. It gives the book texture, so every bucket, ribbon drawer, and cooler latch feels tied to Maren’s state of mind rather than just scene dressing. The novel’s science fiction elements are present from the first chapter, but Boldin handles them with a light touch, which makes the book read almost like literary fiction with a speculative edge. That combination felt grounded to me, and honestly, pretty smart.
I also appreciated the author’s choices around Endo. The book resists the easy path. It does not turn the robot into a villain, a miracle, or a cute gimmick. Endo is useful. Endo is unsettling. Endo listens too well. That tension gives the novel its pulse. I found myself especially drawn to the way Boldin explores consent, authority, and emotional substitution through tiny moments instead of speeches. A changed bouquet. A hidden compliance view. A local summary built from Maren’s own words. Small things. But they work well. The relationship threads with Jonah and Tessa deepen that tension because they keep asking a painful question from different angles: what kind of help do we actually want, and what does it cost us to accept it?
I felt like I had read a novel that understood burnout in a modern way. It’s a contemplative science fiction novel, but it’s also a character-driven workplace and relationship story, and that blend is what makes it memorable. I would recommend it most to readers who like intimate speculative fiction, especially people who enjoy books that are more interested in emotional pressure than plot fireworks. Anyone who likes quiet near-future stories about labor, technology, and the private ache of trying to stay reachable to the people you love will probably find a lot to admire here.
Pages: 329 | ASIN : B0GD8WDXFJ
Uncomfortable Question
In ARTIFICIAL EVERYTHING, you make the argument that our tendency to trade human connection and experiences for digital convenience is slowly erasing what makes us functional human beings. Why was this an important book for you to write?
I kept observing the same pattern everywhere: as we remove effort and friction from life, we also remove the very conditions that build human capability.
This book came from that discomfort. Not from theory, but from watching children, professionals, and entire systems slowly become more dependent while appearing more efficient.
I didn’t write it to critique technology. I wrote it to ask a more uncomfortable question: what are we becoming when nothing requires us anymore?
Did you learn anything in your research that surprised you?
What surprised me wasn’t a single finding, but the consistency of the pattern.
Across completely different areas — childhood, work, relationships — the same mechanism repeats: remove friction → capacity doesn’t develop → dependence increases.
What’s striking is how invisible this is in real time. Everything feels easier, better, more efficient… until you realise something fundamental is no longer there.
Were there parts of your own life where you noticed a shift away from human connection before you started writing?
Yes, and that’s part of what made the book unavoidable for me.
You start noticing how quickly even highly capable people reach for AI before thinking, or how communication becomes easier but less real, or how silence and boredom have almost disappeared.
It’s not dramatic. It’s gradual, and that’s exactly why it’s powerful.
What is one thing you hope readers take away from ARTIFICIAL EVERYTHING?
Awareness.
Not rejection of technology, but recognition that convenience is not neutral. It shapes what we become.
If readers finish the book and simply pause before taking the easiest option, and ask, “What am I not developing here?” Then the book has done its job.
Author Links: GoodReads | Amazon
In ARTIFICIAL EVERYTHING, Dr. Carine Jennings examines a pattern that has quietly reshaped childhood, work, social life, and human capability itself.
Across domains, friction has been systematically removed, replaced by screens, algorithms, automation, and artificial substitutes. What was once built through struggle, effort, and necessity is now outsourced, optimized, or eliminated.
This is not a book about technology as innovation. It is a book about technology as substitution.
Drawing on sustained observation rather than academic theory, Jennings traces how convenience alters development:
Children grow without unstructured play.
Professionals outsource thinking to AI.
Social connection becomes performance.
Conflict is avoided rather than resolved.
Productivity increases. Capability declines.
The result is a new human type; highly functional in mediated environments, increasingly fragile without them.
ARTIFICIAL EVERYTHING is not anti-technology and not nostalgic. It does not argue for going backward. It asks a harder question: what do we lose when every human challenge is replaced with an artificial solution?
Written as cultural diagnosis rather than prescription, this book names what is eroding, why it matters, and why the consequences may only become visible when it is too late to reverse them.
For readers interested in cultural critique, human development, leadership, education, and the long-term cost of convenience, this book offers clarity where reassurance is easier.
Confusion to Confidence
AI for Beginners Demystified turns artificial intelligence from a confusing buzzword into a practical tool, guiding everyday readers through how AI works, where it shows up in daily life, and how to use it with confidence. Who did you imagine as the ideal reader when you started writing?
When I started writing AI for Beginners Demystified, I had a very clear reader in mind: the curious person who keeps hearing about artificial intelligence but feels slightly overwhelmed by it. It might be a business owner, a professional trying to stay relevant in a rapidly changing workplace, or simply someone who sees AI mentioned in the news every day and wonders, “What exactly is this, and should I be paying attention?”
I’ve met many people like this through my work in digital marketing. When my company began implementing AI tools, I noticed that many business owners were hesitant to adopt them. They weren’t uninterested. They were intimidated. The technology sounded complicated, and they worried they might not understand it. That reaction became one of the motivations for writing the book.
The ideal reader I imagined was someone intelligent and curious, but not technical. They don’t want a textbook filled with jargon. Instead, they want clear explanations, relatable examples, and maybe even a little humor along the way — like sitting down with a knowledgeable friend who explains it in plain English.
Ultimately, I wrote the book for people who want to move from confusion to confidence. Once readers start exploring AI tools, they often discover something surprising: AI isn’t just about technology. It’s about creativity, productivity, and finding smarter ways to solve everyday problems. My reviews strongly indicate I’ve reached that audience.
Why do you think so many people feel intimidated by artificial intelligence?
First, AI as we know it is still in its infancy. Before 2022, AI was powerful but mostly invisible to everyday people — living inside search engines, industry, and back-end software. That changed in November 2022 when OpenAI released ChatGPT. As of this writing, it’s not even four years old. It’s barely old enough to tie its own shoes! (Its exact birthdate is November 22, 2022 — feel free to add that to your trivia book.)
Beyond novelty, many people feel intimidated because AI is often presented as something extremely technical and mysterious. When people hear terms like machine learning, neural networks, or generative AI, it can sound like a foreign language. There’s also fear of the unknown: AI is advancing rapidly, and headlines tend to amplify that by focusing on dramatic possibilities rather than practical realities.
Then there’s Hollywood. For decades, AI has been portrayed as a world-conquering machine. Those stories are entertaining, but they shape how people think about AI in real life — which is far more practical: voice assistants, recommendation systems, tools that help us work more efficiently.
The intimidation usually fades once people simply start using AI. That realization was a big reason I wrote the book: to remove the technical barriers so readers can shift from feeling intimidated to becoming genuinely curious about how AI can improve their lives.
What do you think people misunderstand most about AI and jobs?
The biggest misunderstanding is that AI will simply replace people across the board. History tells a different story. When computers entered the workplace, similar fears arose — and what happened was that computers automated certain tasks while creating entirely new industries and career paths. The internet followed the same pattern. AI is likely to do the same. Rather than replacing humans, it will enhance human abilities — handling repetitive tasks, analyzing large datasets, and automating routine work so people can focus on creativity, strategy, and relationship building. The key advantage will go to those who learn to work with AI rather than fearing it. I believe the future of work will be defined less by humans versus machines and more by humans who understand AI working alongside those who don’t. That’s the central message of the book: AI isn’t something that replaces you — it’s a tool that can make you more capable and competitive.
Which AI applications do you think will have the biggest impact on business in the next decade, and how should professionals prepare?
Three areas stand out. First, AI-powered data analysis and predictive analytics. Businesses generate enormous amounts of data, but making sense of it is difficult. AI can identify patterns, spot trends, and help companies make faster, more informed decisions — predicting customer needs, streamlining operations, and sharpening strategic planning.
Second, AI-driven automation. Scheduling, customer service, report generation, and administrative work can increasingly be handled by AI. This frees people to focus on higher-value work like problem-solving and relationship building. Think of it as a digital assistant that handles the grunt work.
Third, Generative AI. Tools that create written content, marketing materials, images, and software code are already transforming industries like marketing, media, and design. A related evolution is Agentic AI — AI that doesn’t just answer questions but gets things done. Ask it to plan a dinner party, and instead of prompting you step by step, it looks up recipes, makes a grocery list, orders the groceries, and sets cooking reminders. You give it a goal; it figures out the rest. That’s the future.
As for preparation: you don’t need to become an AI engineer, but you should understand the basics and develop a mindset of continuous learning. Professionals who stay curious, experiment with tools, and develop AI literacy will be well-positioned for the decade ahead.
Author Links: GoodReads | Facebook | Rick Samara | Website | Amazon
Instead of presenting artificial intelligence as a confusing or intimidating subject, this book makes AI accessible, practical, and relevant to everyday life. From virtual assistants (Siri, Alexa, Copilot, Grok, Perplexity) to smart home devices, photo editing apps, and personalized online shopping, you’ll discover how AI already powers the technology you use every day.
Inside this engaging guide, you’ll learn:
What AI really is and why it’s more of a helpful partner than a threat.
Machine Learning explained through fun, relatable analogies that actually make sense.
Generative AI tools that create text, images, and even music, and how you can use them.
Chatbots and conversational AI like ChatGPT, Gemini, and Copilot, and how they’re shaping communication.
How AI is transforming the job market and why it creates new opportunities instead of just taking jobs.
With witty commentary, personal anecdotes, and straightforward explanations, this book takes the fear out of AI and turns it into something exciting to explore. Whether you’re a student, professional, entrepreneur, or simply curious, you’ll finish this book with a clear understanding of artificial intelligence, machine learning, and generative AI plus the confidence to use these tools in your own life.
If you want to understand AI without the jargon, laugh while learning, and gain practical knowledge of the future of technology, this is the book for you.
