What does my team actually walk away with?

Day 1 produces a shared prompting playbook, a small app built end-to-end with an AI app-builder, and an evaluation checklist — the AI foundations every team needs. Day 2 ships a working MVP from one of four capstone tracks: a RAG knowledge system with source citations, a fine-tuned model with an eval set, an agentic workflow with guardrails, or a WhatsApp Business API lead qualification engine.

Does Byte Forge support on-premise and private cloud AI deployment in Malaysia?

Yes. Byte Forge deploys AI solutions using local inference engines (Ollama, vLLM) and private cloud pipelines to ensure data stays within Malaysia under your control.

Does the workshop require any prior AI or machine-learning experience?

No. Day 1 starts from prompt-engineering basics and works through AI tools like Lovable, Genspark, and Cursor — accessible to anyone who writes for a living. Engineers build the Day 2 MVP; non-technical participants focus on prompting, evaluation, and the business decisions around each build.

Applied AI Engineering Consultancy — Malaysia

Your team doesn’t need more AI theory.
It needs to build with it.

Q: Do you only run workshops, or do you also build custom AI systems?

Byte Forge delivers hands-on applied AI workshops and custom engineering integrations for businesses in Malaysia. The 2-day workshop starts with AI foundations — prompting, iteration, and tool selection — then applies those skills to a chosen capstone build (RAG knowledge system, fine-tuned model, agentic workflow, or WhatsApp lead engine) using local inference engines (Ollama, vLLM) and private cloud pipelines that keep data under your control.

Byte Forge runs two-day applied AI workshops and builds custom AI systems — retrieval-augmented generation, fine-tuning, agentic workflows, and WhatsApp lead engines — for Malaysian teams who want working systems, not slideware.

WhatsApp Jonathan

Replies within working hours · No obligation · Scoping call is free

2-day hands-on format4 capstone tracksIn-house delivery, Klang ValleyEngineer-led, hands-on

The founder

Trained in the US. Battle-tested in Malaysia.

Jonathan's engineering foundation was built in the United States — rigorous computer science and first-principles systems thinking. His production scars were earned here: at a major Southeast Asian airline serving millions of travelers, he led the migration from legacy ETL to event-driven microservices, adapting US-trained discipline to Malaysian realities — spotty connectivity, Ringgit-scoped budgets, teams where one person wears three hats.

That's why Byte Forge doesn't build toy demos. We model token costs, design guardrails, map failure modes, and benchmark open-source models against enterprise APIs — because Jonathan has been the engineer who gets the 2 AM alert when the “simple” AI integration hallucinates in front of real customers.

Read the full story →

75%cost reduction from an event-driven migration at a major regional airline

6s → 2slatency improvement on production systems

10+ yrsshipping production systems across MY & US

Not an engineering team?

We also work with business owners. If you run a small or mid-sized company, there’s a business track built for you — see the SME page →

Every module ships a working build

Your team leaves with running code you own

Scoped to your systems & data

Pre-workshop scoping on real use cases

Delivered in-house across Klang Valley

Kuala Lumpur & Selangor — or remote

Two lenses, one workshop

Built for the people who sign off — and the people who build

The same two days looks different depending on who you are — and both roles leave with what they came for.

For Business Owners & Team Leads

Your team is small and everyone’s stretched — you need working systems, not another AI course.

No hype, no vendor deck. Your team builds against your actual workflows and data, so you can judge the result from working evidence — not slides.

Working prototypes built on your documents and channels by day two
A clear framework for when AI automation is worth it — and when it isn’t
Honest cost modelling in Ringgit — before you commit budget
Your data stays under your control, on-premise or Malaysia-region

For HR & L&D Leaders

Training with outcomes you can actually report

Every participant leaves with artifacts, not attendance. The workshop is structured so progress is visible, measurable, and tied to business use cases.

Concrete deliverables per participant: code, pipelines, and demos
Syllabus tailored to your industry’s workflows during scoping
Post-workshop report on team progress and recommended next steps
30-day follow-up channel so learning sticks after the room empties

Vetting an external trainer? Read Jonathan’s background →

What our clients’ teams stop doing manually

The work your team stops doing by hand

A before/after look at the manual work our clients’ teams hand back to AI after the two-day build.

Before Byte Forge

After Byte Forge

Staff spend hours on repetitive writing and data entry

Same output in 30% of the time using AI-powered tools

WhatsApp enquiries go unanswered for hours

Automated qualification and instant routing to sales

Customer data scattered across PDFs and spreadsheets

One AI system that answers from your documents, citing sources

Considering hiring 1–2 more admin staff

A working automation prototype built in two days

Syllabus preview

Two days. First learn to work with AI — then ship a real MVP.

Day 1 is the same for everyone: how to prompt, iterate, challenge, and pick the right AI tool. Day 2 applies those skills to a capstone build chosen during scoping.

Day 1AI Foundations — the skills every team needs

D1-AMDay 1 · Morning

Working with AI

What AI can (and can’t) do, prompting guides that actually move output quality, and a hands-on tour of the AI-powered tools that have changed the most: Lovable, Genspark, Cursor.

You build:a shared prompting playbook + a small app built end-to-end with an AI app-builder

D1-PMDay 1 · Afternoon

From prompt to working output

Iterative prompting, challenging the model when it sounds confident but is wrong, structured output, and a simple way to know when an AI output is good enough to ship.

You build:a refined multi-turn prompt that solves a real team problem

Day 2Capstone — pick one, build a real MVP

CT1Day 2 · Build

RAG Knowledge System

Ground AI answers in your own documents — policies, SOPs, product catalogues — with a retrieval pipeline that cites its sources.

You build:a working RAG pipeline over your real documents, with source citations

CT2Day 2 · Build

Fine-Tuned Model

When prompting hits its ceiling. A real fine-tuning run with an eval set that proves whether the tuned model actually beats the prompted baseline.

You build:a fine-tuned model plus an eval set that proves it beats the baseline

CT3Day 2 · Build

Agentic Workflow

Multi-step agents with tool use, guardrails, and human-in-the-loop checkpoints — designed the way you’d design any production system.

You build:a working agent that plans, calls tools, and knows when to escalate

CT4Day 2 · Build

WhatsApp Lead Engine

Turn inbound WhatsApp enquiries into qualified leads automatically — capture, qualify, route, and hand off to sales with a full audit trail.

You build:an end-to-end lead qualification flow on the WhatsApp channel

The Byte Forge method

Why teams choose us over another AI webinar

We run workshops the way we run engineering engagements — scoped, hands-on, and accountable for what ships.

Build, don’t watch

Every module ends with a working artifact your team built with their own hands. If it doesn’t run, it doesn’t count — that’s the rule in the room.

Your data, your use cases

We scope before we teach. Your documents, your workflows, your customers — every exercise is assembled around your business.

Production mindset from hour one

Guardrails, evaluation sets, cost modelling, failure modes. We teach the parts most courses skip — the parts that decide whether AI survives contact with reality.

Accountable after the room empties

Thirty days of follow-up support, handover documentation, and a written roadmap. And if you want it built for real, our integration team picks up where the workshop ends.

Engagement options

Straightforward pricing, scoped in writing

Three ways to work with Byte Forge. Every engagement is confirmed with a written quote after a scoping call — no surprises.

Open enrolment

Individual Seat

Join a scheduled public workshop cohort

RM 1,900/ pax

Full 2-day workshop — Day 1 foundations + Day 2 capstone
Workshop materials & starter code
Certificate of completion
30-day post-workshop Q&A channel

Reserve a Seat

Most engagements start here

In-house delivery

Team Workshop

Delivered at your premises or remote, scoped to your systems

RM 14,800/ team · up to 15 pax

Everything in Individual Seat
Pre-workshop scoping on your data & use cases
Day 2 capstone chosen during scoping
Post-workshop progress report for L&D
Roadmap session with your in-house team

Scope via WhatsApp

Workshop + build

Custom Integration

Workshop, then we build the real system with you

Customscoped quote

Everything in Team Workshop
Production RAG, fine-tuning, or agent build-out
WhatsApp lead engine deployment
Handover documentation & knowledge transfer
Optional monthly retainer

Request a Quote

// indicative pricing — final quote follows the scoping call, in writing

Do you only run workshops, or do you also build custom AI systems?

Yes — the 2-day workshop is the entry point, and for teams that want a production system handed to them, Byte Forge also takes on custom AI integrations: RAG knowledge systems, fine-tuned models, agentic workflows, and WhatsApp lead engines, scoped and built on the client’s data. WhatsApp Jonathan to map your situation to the right engagement.

Ready to make AI actually work in your business?

Message Jonathan on WhatsApp — tell him your team size and what you’re trying to automate, and he’ll map it to the right track. Not sure which workshop fits? Just ask — no technical jargon, no obligation.