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Kuala Lumpur, Malaysia

Government and partner whitepaper · 19 September 2026

The AI Builder School

A Malaysian pathway from beginner to AI builder and founder.

Prepared by KrackedDevs

Founding physical home
Xsolla Curine Academy, Kuala Lumpur

Read the proposition

Executive summary

Malaysia needs a visible pathway from AI access to useful output.

Malaysia already has digital scale, national AI policy and an expanding startup ecosystem. What remains difficult is the practical middle: helping people move from curiosity to repeated building, public proof and, for the strongest, company formation.

The AI Builder School is proposed as that pathway. It is a KrackedDevs institution with Xsolla Curine Academy as its founding physical home in Kuala Lumpur. It combines open weekly learning, shared real-world challenges, co-building, mentoring, public demonstrations and a selective Builder Fellowship.

100,000

capable AI builders, starting in Malaysia.

A direction of travel, not a dated delivery promise.

01 / The Malaysian opportunity

Economic momentum is real. Practical capability must follow.

Information and communications technology and e-commerce contributed RM451.3 billion, or 23.4% of Malaysia’s economy, in 2024.1 The National AI Action Plan 2026–2030 frames AI deployment across government, business and rakyat as a national priority.2

4.2m

workers highly exposed to generative AI

Exposure is not the same as job loss. People need practical, human-centred ways to redesign work and verify outputs.3

620k

employees expected to be significantly affected

A builder pathway should reach beyond programmers to people with sector knowledge.4

18th

Kuala Lumpur among emerging startup ecosystems

Malaysia has a growing environment in which useful prototypes can become ventures.6

Black-pencil illustration of a Malaysian neighbourhood where a local AI builder works alongside a business owner, surrounded by a warung, grocery shop, motorcycle workshop and homestay.
Illustrative vision The people closest to a local problem should have the opportunity to build its solution.

The case for action is not that every Malaysian must become a software engineer. It is that more Malaysians should be able to recognise a problem, use AI to make and test a solution, and understand the limits of what they have built.

02 / Vision, mission and definition

A national ambition expressed through useful work.

Vision

A Malaysia where people from every background build useful solutions with AI—independently or in teams—and where the strongest ideas can grow into companies that serve Malaysia and the world.

Mission

The AI Builder School turns beginners into proven AI builders through open learning, real challenges and repeated practice. We help the strongest builders continue independently or form teams, validate solutions and begin companies when that is the right path.

An AI builder understands a real problem, builds a useful solution with AI, tests it with people and takes responsibility for the result.

White-pencil portrait of a Malaysian teacher with a book and teaching diagrams.Teacher
White-pencil portrait of a Malaysian accountant working with a ledger and calculator.Accountant
White-pencil portrait of a Malaysian designer surrounded by interface sketches.Designer
White-pencil portrait of a Malaysian student carrying a notebook.Student
White-pencil portrait of a Malaysian business owner using a tablet.Business owner
AI builders can come from anywhere. Their experience helps them recognise problems that others may miss.
Problem understanding
Speaks to the people affected, identifies the real constraint and defines who the solution is for.
Building and automation
Creates a working workflow, tool or product using appropriate AI and software.
Testing and verification
Checks outputs, gathers user evidence, measures usefulness and corrects failure.
Protection and judgement
Respects privacy, security and consent; knows when human judgement must remain in control.
Explanation and ownership
Can explain decisions, contribution, limitations and the next step without overstating results.

03 / The builder pathway

Progress is earned through evidence.

A learner can enter with no prior coding experience, complete a defined challenge, publish proof, return for another theme and gradually take on harder work.

  1. 01

    Enter the ecosystem

  2. 02

    Learn the workflow

  3. 03

    Build a useful solution

  4. 04

    Publish proof

  5. 05

    Return and improve

  6. 06

    Choose solo or team

  7. 07

    Enter the fellowship

  8. 08

    Continue or launch

Beginner → Builder

Working demonstration

Explain the user, problem, test, limitation and next step.

Builder → Fellow

Repeated evidence

Show consistency, constructive practice and learning from users.

Fellow → Next stage

Validated direction

Continue solo, form a team, partner, work, find customers or incorporate.

The school may later develop investor access, company formation support or investment partnerships. This whitepaper makes no current promise of capital, equity investment or automatic company creation.

04 / The AI Hub

KL’s heartbeat for the AI Builder School.

The AI Hub is the school’s open centre: a place where people of every age, background and experience level are welcome. There is only one expectation—once they arrive, they begin building.

White-pencil bird’s-eye concept sketch of the AI Hub, with an auditorium, open co-building tables and classrooms.
Founding physical home A working concept for the AI Hub at Xsolla Curine Academy, Kuala Lumpur.

The weekly promise

Show up.
Build.
Reflect.
Return.

The goal is not a one-day event. It is a consistent practice that lets every visit begin where the last one ended.
  1. 01
    Register

    First-time builders share their basic details and create a starting point.

  2. 02
    Choose

    Pick a problem, personal idea or guided starter project worth building.

  3. 03
    Build

    Make something useful immediately, with support available when it is needed.

  4. 04
    Reflect

    Record what was built, learned and struggled with—and choose the next step.

  5. 05
    Return

    Tap in the following week, reopen the project and continue from the last point of progress.

Structured pathway

Classes

Join guided learning with shared themes, clear milestones and trainer support.

Open centre

The AI Hub

Choose what to build, work independently or with others, receive support, and return every week to keep going.

Shared learning

The Cave

Listen to talks, watch demonstrations and learn from builders, partners and practitioners.

A first-time builder registers once. Returning builders tap in, reopen their project and continue. Before leaving, every builder records what they learned and what they intend to do before the next session.

05 / Proof through projects

A finished session should leave evidence someone else can inspect.

Participation is not the same as proof. A project qualifies for publication only when the builder can demonstrate the work and explain its evidence.

01User
Who experiences the problem and whose context informed the work.
02Problem
A specific need or friction stated in plain language.
03Contribution
What the builder made or changed, including the role played by AI.
04Demonstration
A working prototype, workflow or output that can be inspected.
05Test
What was tried with a user or realistic scenario, and what happened.
06Limitation
What is incomplete, unreliable, unsafe or not yet validated.
07Next step
The smallest useful improvement, user test or deployment decision.

Publishing mechanism

  1. Submit using a standard evidence form.
  2. Review the minimum standard and claims.
  3. Publish qualifying work on the builder’s KrackedDevs profile with consent.
  4. Update the project over time to create a visible history of capability.

06 / The Builder Fellowship

Help consistent builders take the next step.

The proposed Builder Fellowship is the first selective layer above the open weekly school. Builders may work independently or in small teams to validate a meaningful problem and continue beyond a single prototype.

01Select

10–15 consistent builders

02Structure

Independent or team

03Validate

Real problem and users

04Demonstrate

Public evidence

05Decide

Continue, work or launch

07 / The first 90 days

Prove the operating model before expanding it.

The first 90 days are an operating test: can the school attract beginners, produce useful work, bring people back, support partners and identify a credible first group of fellows?

12

free Monday sessions

Programme lead

200

unique builders

Community lead

100

completed projects

Training and review lead

30+

repeat builders

Community lead

5

partner challenges

Partnerships lead

6

anchor institutions

Partnerships lead

10–15

fellowship builders

Programme and mentor panel

1

public showcase

Programme lead

These figures are programme targets approved for the first 90 days. They are not current achievements.

08 / Partnership model

Bring a problem worth solving and a person who understands it.

The school should not invent partner problems from a distance. Partners contribute context and a problem owner who can review assumptions and help builders test what they make.

Partners bring

Problems
People
Tools
Access

The school

Scopes
Teaches
Builds
Tests

Partners receive

Evidence
Talent
Lessons
Next steps

Builders should not receive sensitive data or deploy into live services without clear authorisation, safeguards and accountable human oversight.

09 / Sustainability, quality and scale

Keep open access while building a durable institution.

Mixed sustainability model

Free Monday access is the public front door. It can be supported by paid cohorts, corporate programmes, sponsored challenges and institutional partners. The immediate test is whether each activity improves access, teaching quality or routes to useful work.

Path to national scale

The Kuala Lumpur campus provides a place to standardise the model. Online lessons continue nationwide. Dedicated spaces in other states should follow only when attendance, completion, return and quality are repeatable.

Unsafe output

Human review, defined tests, disclosed limitations and no unsupported deployment claims.

Privacy misuse

Data minimisation, consent, secure handling and partner-approved access.

Inaccessible teaching

Beginner-first instruction, plain language, multiple entry levels and support.

Misleading claims

Evidence checklists, reviewer sign-off and clear prototype, test and deployment labels.

Trainer overload

One weekly theme, shared checkpoints, documented materials and a growing mentor pool.

Premature expansion

Do not replicate until Kuala Lumpur produces repeatable outcomes.

10 / Invitation and references

Build the first proof with us.

The AI Builder School invites government agencies, companies, universities and community organisations to help prove a practical Malaysian pathway from beginner to builder and from proven builder to founder.

Start a partnership conversation
  1. [1]

    Department of Statistics Malaysia. Malaysia Digital Economy 2025. 26 November 2025.

  2. [2]

    AI Malaysia Berhad. National AI Action Plan 2026–2030 Fact Sheet. Accessed 19 September 2026.

  3. [3]

    World Bank and ISIS Malaysia. Novel AI Technologies and the Future of Work in Malaysia. 2025.

  4. [4]

    Talent Corporation Malaysia Berhad. Impact Study of Artificial Intelligence, Digital and Green Economy on the Malaysian Workforce. Accessed 19 September 2026.

  5. [5]

    UNESCO. AI Competency Framework for Students. 2024; updated 23 January 2026.

  6. [6]

    Ministry of Science, Technology and Innovation. Kuala Lumpur Breaks into Global Top 20 Emerging Startup Ecosystems. 13 June 2025.

Evidence note. References 1–6 are current facts. The 90-day figures are programme targets. The Builder Fellowship and future state expansion are proposed designs. The 100,000-builder figure is a long-term ambition. No current investment or equity commitment is made.