hario_seto
Hario Seto S
THE CREATOR
20-years practiced as Architect .
10-years in FnB, business.
Decided to switch career to technology,
as founder & full-stack developer of AgentX.ID. Aim to take on challenge of unemployment problem, with simple application AgentX.ID.
Check my StackSlides, place where I learn & write :
Biography, Business, Design, Education, Technology (AI, Drone, Programming) & Future.
HARIO Seto S
20-years practiced as Architect .
10-years in FnB, business.
Decided to switch career to technology,
as founder & full-stack developer of AgentX.ID. Aim to take on challenge of unemployment problem, with simple application AgentX.ID.
Check my StackSlides, place where I learn & write :
Biography, Business, Design, Education, Technology (AI, Drone, Programming) & Future.
HISTORY OF HUMAN INVENTIONS & CIVILIZATION SHIFTS
BY HARIO SETO
How they were rejected then changed the way people lived
PROLOGUE
AI is not an isolated disruption but another invention event in a long stretch of human history.
At first, almost every major breakthrough triggered fear, skepticism, resistance, and loud optimism at the same time.
Here, I tried to trace back the history of human invention, learn the pattern
STONE TOOLS
C. 2,600,000 BCE
At first, shaped stones were simple survival aids with limited refinement.
Over time, toolmaking evolved into deliberate engineering, extending human strength and precision.
They increased hunting success, food security, and survival rates, marking the beginning of technological augmentation.
CONTROLLED FIRE
C. 1,000,000 BCE
At first, fire inspired fear and awe due to its destructive power.
Gradually it was controlled for cooking, warmth, and protection.
It improved nutrition, extended lifespan, enabled migration into colder regions, and strengthened social bonds around shared hearths.
AGRICULTURE
C. 10,000 BCE
At first, farming was labor-intensive and risky compared to hunting.
Communities slowly adopted it for stable food supply.
Agriculture created surplus, permanent settlements, population growth, specialization of labor, cities, and organized governance.
POTTERY
C. 9,000 BCE
At first, clay containers were fragile and experimental.
As technique improved, pottery enabled reliable storage & cooking.
It stabilized food reserves, supported trade of goods, and strengthened early economic systems.
WHEEL
C. 3,500 BCE
At first, its use was limited by rough terrain and infrastructure.
With roads and carts, adoption expanded.
The wheel revolutionized transport, logistics, trade networks, and later mechanical systems powering industry.
WRITING
C. 3,200 BCE
At first, writing was controlled by elites and scribes.
It gradually became central to administration.
Writing enabled laws, contracts, taxation, record-keeping, and scalable governance across civilizations.
MONEY (COINAGE)
C. 650 BCE
At first, barter dominated trade.
Standardized coinage simplified transactions and trust.
Money expanded trade networks, enabled markets, and laid foundations for complex economies.
IRON SMELTING
C. 1,200 BCE
At first, bronze was dominant and iron difficult to process.
Improved smelting techniques spread.
Stronger tools increased agricultural output, while durable weapons reshaped military and political power.
PAPER
105 CE
At first, parchment and bamboo were common.
Paper offered cheaper, lighter material for writing.
It expanded literacy, bureaucracy, record-keeping, and cultural preservation across empires.
COMPASS
11TH CENTURY
At first, navigation relied on stars and landmarks.
The magnetic compass enabled reliable direction at sea.
It expanded global exploration, trade routes, and maritime empires.
PRINTING PRESS
1450
At first, authorities feared loss of control over ideas.
Printed books spread rapidly across Europe.
It democratized knowledge, accelerated literacy, scientific progress, and social reform.
STEAM ENGINE
1712
At first, it was inefficient and limited to pumping water.
Refinements increased power and reliability.
It drove factories, railways, and the Industrial Revolution, transforming labor and urban life.
VACCINATION
1796
At first, many feared it as unnatural and unsafe.
Evidence of disease prevention increased trust.
Vaccination reduced mortality, extended lifespan, and strengthened public health systems.
ELECTRICITY (PRACTICAL)
1800S
At first, electricity was a scientific curiosity and safety concern.
Infrastructure slowly expandded.
Electrification powered lighting, industry, communications, & modern urban infrastructure.
CAMERA
1826
At first, photography amazed the public and raised privacy concerns.
As access widened, it became essential to journalism and memory.
It transformed identity, documentation, and visual evidence.
TELEGRAPH
1837
At first, instant long-distance signals seemed revolutionary yet limited.
Telegraph networks spread rapidly.
They compressed communication time, enabling coordinated trade, governance, and news.
TELEPHONE
1876
At first, some saw it as unnecessary beyond telegraphy.
Businesses and households adopted it widely.
It enabled real-time voice communication, transforming commerce and personal connection.
CAR
1886
At first, cars were noisy, expensive, and considered dangerous.
Mass production lowered cost.
Automobiles reshaped cities, suburbs, logistics networks, and global energy systems.
AEROPLANE
1903
At first, powered flight was met with disbelief; failure after failure attempts.
Rapid technological improvement expanded usage.
Aviation compressed global distance, transforming travel, trade, and warfare.
RADIO
1906
At first, it was a novelty for transmitting signals.
Broadcasting reached mass audiences.
Radio unified cultures, spread information instantly, and influenced politics.
TELEVISION
1927
At first, critics dismissed it as trivial entertainment.
Adoption surged in households.
Television became dominant mass media shaping culture, advertising, and political messaging.
COMPUTER
1940S
At first, computers were massive and limited to governments.
Miniaturization and commercialization expanded access.
They transformed science, finance, engineering, and administration.
TRANSISTOR
1947
At first, it replaced bulky vacuum tubes in limited applications.
Rapid scaling enabled miniaturization.
The transistor became the foundation of modern electronics and computing.
CALCULATOR (POCKET)
1972
At first, educators feared declining mental math skills.
Affordable devices spread globally.
Calculators made complex computation instant, improving productivity in science and business.
PERSONAL COMPUTER
1970S–1980S
At first, PCs were viewed as hobbyist machines.
Software ecosystems expanded adoption.
Personal computers decentralized computing power into homes and offices worldwide.
WALKMAN
1979
At first, it was praised as freedom yet criticized as anti-social.
Portable audio gained mainstream popularity.
It normalized private media consumption in public spaces.
DIGITAL CAMERA
1975 / 2000S MASS
At first, image quality was low and dismissed.
Rapid sensor improvements drove adoption.
Digital photography eliminated film cost and fueled social media culture.
INTERNET
1983 / 1991 WEB
At first, it was a niche academic network.
Public access expanded rapidly.
The internet redefined communication, commerce, media, and global connectivity.
SMARTPHONE
2007
At first, smartphones were expensive luxury devices.
App ecosystems accelerated adoption.
They merged phone, computer, camera, and internet into constant connectivity.
SOCIAL MEDIA
2004–2010
At first, it create connections but fear of privacy.
Mass participation reshaped communication habits.
Social media transformed identity, information flow, marketing, and politics.
ARTIFICIAL INTELLIGENCE (LLMS)
2022–PRESENT
At first, many questioned reliability and feared job disruption.
Rapid capability growth increased trust and integration.
Large Language Models automate writing, coding, reasoning, and reshape knowledge work globally.
FINAL WORDS
At first, we fear what changes the structures.
Then we debate it, regulate it, resist it, and eventually integrate it.
Every major invention once felt dangerous, unnecessary, or disruptive.
Yet over time, humans adapt, systems evolve, and society restructures around new capability.
THE NEXT 5 YEARS, AI DOES THE JOB, HUMANS GIVE DIRECTION
BY HARIO SETO
CHAPTER INDEX
THE CORE SHIFT
CHAPTER 1
AI MOVES INTO EXECUTION
OPERATOR MODE
AI will increasingly run the job end to end: research, draft, build, deploy, report, revise. It doesn’t get tired, it scales instantly, and it improves via iteration.
When execution is a repeatable chain, AI becomes the default worker that keeps shipping outcomes, not just suggestions.
HUMANS MOVE INTO DIRECTION
MASTERMIND MODE
Humans become the mastermind that gives direction. Not “more ideas,” but better decisions: what matters, what to ignore or prioritize, what risks.
When outputs are infinite, the scarce skill is choosing the right target, defining “good,” & steering the system as reality changes.
WHY WORK BECOMES COMPOSABLE
CHAPTER 2
JOBS ARE CHAINS
COMPOSABLE WORK
Most jobs are chains, not a single skill: research > plan > draft > build > distribute > measure > iterate.
AI is strongest on chained work because it can execute each step fast and consistently, then loop back with new inputs. The more modular the work, the easier it is to automate.
EXECUTION BECOMES CHEAP
ABUNDANCE ERA
Writing, coding, design, ad iterations, replies, reporting, QA, summarization.
The marginal cost of “one more version” collapses.
Output becomes abundant.
The bottleneck shifts away from production speed to selection quality: who knows what to make, what to ship, and what to stop.
AI EDGE : ORCHESTRATION
CHAPTER 3
DEFAULT INTERFACE: ORCHESTRATION
DOER SYSTEMS
The winners won’t be single tools.
They’ll be doers that coordinate tools, data, and actions. AI agents will plan tasks, call APIs, operate apps, trigger workflows, recover from errors, & continue.
The interface: “Goal + constraints” > autonomous execution > reporting > iteration.
AI LAYER: OPERATOR
WHAT AI DOES
Runs tasks end to end. Produces outputs in volume. Monitors metrics. Executes revisions. Maintains consistency.
It’s built for repeatability. Operator AI is not just generating text. It is managing steps, state, tools, and retries until the deliverable matches the brief and constraints.
HUMAN EDGE : MASTERMIND
CHAPTER 4
SPOT THE VALUABLE PROBLEM
LEVERAGE FIRST
While many fail when they solve a visible problem, not a valuable one.
Human value rises in identifying leverage, where effort creates disproportionate returns. In an abundance world, production is not the advantage.
Choosing the right problem, market, pain, timing > the real competitive edge.
ASK THE RIGHT QUESTION
FRAME THE SEARCH
AI answers questions.
Humans decide which question worth asking. The question defines the search space, constraints, what “good” means.
Bad questions produce busywork at scale.
Good questions produce clarity: what matters, what proof, what trade-offs, & what outcome.
CHOOSE THE RIGHT HYPOTHESIS
MAKE THE BET
A hypothesis is : “If we do X for Y, we expect Z because…”
AI generate many of these.
Humans choose the one aligned with reality, constraints, risk tolerance, and brand.
The mastermind picks the best bet, defines the test, sets the success metric, & decides whether to double down or pivot.
WHAT STAYS HUMAN
CHAPTER 5
GOAL SELECTION
PICK THE GAME
AI optimizes inside a goal.
Humans choose which goal matters.
This is strategy:
what game you are playing, what you will not do, and what “winning” looks like.
Human sets direction :
Goals, priorities, constraints, success metrics, and timeline.
TASTE AND JUDGMENT
FILTER THE OUTPUT
When execution is abundant, taste becomes the filter.
The mastermind decides what is right for this audience, this moment, & this positioning. It includes: tone, trust, cultural signals, long-term brand memory, & the difference between “works now” & “works sus
TRADE-OFFS UNDER UNCERTAINTY
OWN THE CONSEQUENCES
Real work is constraint navigation: time, budget, brand risk, legal risk, team capacity, politics, and timing.
AI can propose options.
but dont own consequences.
The mastermind chooses the trade-off, accepts risk, & makes the call with incomplete information.
TRUST AND ACCOUNTABILITY
HUMAN SIGN-OFF
People don’t blame the tool. They blame the owner.
Humans approve, validate, sign & carry responsibility.
That’s why direction stays human: ethics, safety, legality & reputational impact.
Human defines guardrails, verification steps & escalation rules before delegating execution to AI.
ETHICS
DRAW THE LINE
AI can execute anything asked to do.
Humans decide what should never be done.
Ethics is not optimization.
It is boundary-setting: what is acceptable, what is harmful, what crosses trust, law, or long-term damage.
The mastermind defines moral limits before speed and scale amplify mistakes.
MULTI-LAYER KNOWLEDGE
INTEGRATE, NOT ONLY GENERATE
Real direction requires combining multiple layers: domain expertise, context, human behavior, timing, culture, constraints, etc.
AI knows fragments.
Humans integrate them into one coherent outcome.
Human connects signals across those layers, decides how shape a single, intentional outcome.
THE WINNING LOOP
CHAPTER 6
THE LOOP
I THINK THIS IS THE LOOP WHERE HUMAN & AI WILL INTERACT
Spot leverage (problem/opportunity)
Ask the right question
Choose the hypothesis
Set goals and constraints
Ask AI to executes
Ask AI reports
Ask AI iterates
Updates direction.
The loop speed is the advantage.
Who runs this loop best will out-ship larger teams.
WHAT'S NEXT
CHAPTER 7
HOW LONG THIS WILL LAST
TIME HORIZON
At least the next 5 years.
Not because AI will stop improving.
But because direction compounds slower than execution.
Execution scales instantly.
Direction requires experience, context, judgment, and accountability.
Those do not compress easily.
WHY EXECUTION MOVES FAST
ACCELERATION MODE
AI improves on speed, cost & autonomy every cycle.
Execution becomes faster, cheaper, and more automated.
Orchestration becomes normal.
Output becomes infinite.
The ability to “do” stops being rare.
It becomes baseline.
WHY DIRECTION MOVES SLOW
HUMAN LAG, HUMAN EDGE
Direction requires experience, context, and consequence.
It depends on taste, ethics, responsibility, and long-term thinking.
These do not compress into compute.
This asymmetry keeps the mastermind role human.
THE REAL BOTTLENECK
UPSTREAM PROBLEMS
For the next 5 years, the hardest work stays upstream :
Choosing the right problem.
Asking the right question.
Making the right hypothesis.
Defining what “good” actually means.
AI can accelerate answers.
It cannot decide meaning.
THE STRUCTURAL SHIFT
NOT A TREND
This is not a temporary advantage.
It is a structural reallocation of value.
Doers are automated.
Operators are AI.
Direction belongs to humans.
WHO WINS
SKILL SELECTION
Those who train execution will be replaced.
Those who train direction will compound and win
The next 5 years reward:
THE MASTERMIND, not makers.
Decision-makers, not producers
System runners, not task doers.
FINAL WORDS
THE GATE IS OPEN, THIS IS JUST THE BEGINNING
This door is open now.
It won't last forever.
But for at least the next 5 years,
human leverage lives in direction.
Train yourself, your kids that skill.
WE ALL ARE AGENT OF CHANGE
BY HARIO SETO
AgentX.ID Manifesto. 001
WHY AGENTX.ID ?
WE ALL ARE AGENT OF CHANGE
The agents in AgentX.ID are inspired by a concept known as the “Agent of Change.”
AGENT OF CHANGE
WE ALL ARE AGENT OF CHANGE
Humans are not passive observers, but individuals with the power to shape, build, and transform the world; at the very least, to create impact or positive change in the world around us.
LIVING LIFE ON A MISSION & PURPOSE
WE ALL ARE AGENT OF CHANGE
Life should feels like a mission with purpose.
A mission is not just a list of tasks, but a goal that ignites motivation & gives direction to every step you take.
Without purpose, we often end up feeling lost.
LIKE AN AGENT IN A ESPIONAGE MOVIES
WE ALL ARE AGENT OF CHANGE
The term “agent” carries the meaning of action, intent, and assignment. In espionage movies, an agent is always driven by something greater than themselves; most often, a purpose.
BUILT FOR THOSE WHO FEEL THE PULL
WE ALL ARE AGENT OF CHANGE
AgentX.ID is built for those who feel a calling to act, to solve problems, not just to be spectators—so that we can all wake up every morning with a sense of mission and purpose.
START WITH YOUR EXPERTISE
WE ALL ARE AGENT OF CHANGE
We can all become “Agents of Change,” equipped with problem-solving mindsets and the skills and expertise we possess.
STARTUP MENTALITY
WE ALL ARE AGENT OF CHANGE
Borrowing the startup principle of starting from a “problem” and creating its solution, we can adopt the same mindset in positioning ourselves.
HELP OTHERS W/ SIMILAR PROBLEMS
WE ALL ARE AGENT OF CHANGE
Combine the problem with your expertise, knowledge, skills, and experiences.
Think the best way to solve it.
Identify your target market; those individuals or companies who face the same challenge and would truly benefit from the solution you create.
Make it actionable and clear.
START NOW !
WE ALL ARE AGENT OF CHANGE
Don’t waste time. Evaluate yourself. Start with the expertise, the skills you have that can create real impact while also generating income.
Focus on what you can do now to make a difference; turn it into value.
HOW TO BE A LEGEND.
FROM KNOWLEDGE TO SKILL TO EXPERTISE TO MASTERY TO LEGEND
CHAPTER INDEX
IT TAKES TIMES TO BE A LEGEND, BUT HOW TOWARDS THE RIGHT DIRECTION
First, Go through & Learn the steps & stages.
Images are: "Miyamoto Musashi" from "The Samurai Trilogy" & "The Age of Samurai" (Netflix)
KNOWLEDGE
Basic awareness or understanding of facts, concepts, and ideas. Typically theoretical, acquired through reading, lectures, or observation. Jadi baru pemahaman konsep gagasan. Lebih ke Teori.
EXAMPLE OF KNOWLEDGE
NOVICE AT AWARENESS STAGE
Take the world of coffee and coffee shops as an example – for instance, knowing the difference between Arabica and Robusta and how tools like a French press and V60 are used.
SKILL
Skill is the practical use of knowledge in a specific field, built through practice and repetition, shown by doing tasks smoothly and consistently.
EXAMPLE OF SKILL
SKILLED AT APPLICATION STAGE
A barista who is skilled at preparing espresso and cappuccino, and creating simple latte art such as a heart (or other basic designs), while keeping the taste consistently good.
EXPERTISE
Expertise is advanced proficiency gained from years of using skills, adding knowledge, and deep understanding, leading to consistently superior results.
EXAMPLE OF EXPERTISE
EXPERT AT PROFICIENCY STAGE
In the coffee world, a barista develops deep understanding of the coffee industry, mentors junior baristas, and regularly competes in regional professional barista championships.
SPECIALIZATION
A specialist deliberately focuses on one or a few aspects of their field, deepening expertise to reach a high level of specialization.
EXAMPLE OF SPECIALIZATION
SPECIALIST AT DEEPENING STAGE
A barista who specifically deepens their expertise in roasting single-origin beans, sensory evaluation, or a particular brewing technique, for example specializing in manual brewing methods.
MASTERY
Outstanding capability built over years, combining deep intuitive understanding with exceptional skill, enabling consistently extraordinary performance.
EXAMPLE OF MASTERY
MASTER AT EXCELLENCE STAGE
Becoming a judge at national or international barista competitions, recognized as an authority in coffee taste. Similarly, sushi chefs in Japan train for years to reach mastery.
THOUGHT LEADERSHIP
Actively sharing, influencing through teaching, mentoring, publishing influential works, shaping industry-wide practices." At this level, they educate and share new perspectives
EXAMPLE OF THOUGHT LEADERSHIP
THOUGHT LEADER AT INFLUENCE STAGE
Writing popular books about coffee, actively delivering international trainings and workshops, and serving as a key speaker at major global coffee events.
INNOVATION
Transcending mastery to create new methods, original ideas, or paradigm shifts; involves inventing, innovating, & fundamentally advancing the field.
EXAMPLE OF INNOVATION
INNOVATOR AT INNOVATION STAGE
Creating new brewing methods like the Aeropress or Origami Dripper, offering fresh perspectives on coffee extraction and connecting them to sustainability, technology, and new business models.
LEGACY
Leaving a lasting Positive impact, becoming synonymous with the field itself, and influencing multiple generations beyond your lifetime. They give back contribution to the industry
EXAMPLE OF LEGACY
LEGEND AT VISION & LEGACY STAGE
Achmad “Adhi” Taroepratjeka (Indonesia), James Hoffmann (England), and Tetsu Kasuya (Japan), whose names and influence continue to inspire new generations of baristas all around the world. What else?
SUMMARY
FROM KNOWLEDGE TO LEGACY
Knowledge > Skill > Expertise > Mastery > Thought Leadership > Innovation > Legacy.
This framework illustrates a person’s journey from basic knowledge to creating real impact in their field.
TAKE A HARD LOOK AT YOURSELF
WHAT LEVEL ARE YOU IN YOUR INDUSTRY?
Nothing is instant.
But you can start now and keep growing from here.