mentorship_protocol.sh
$

AI Mentorship
Program

Not a course. Not a cohort. A direct, ongoing working relationship with someone who has been deploying AI at scale — and genuinely wants to help the right people do the same.

Learn More
SCROLL

7 People. One Year.

Built for people who are serious about AI — not just curious about it.

Most people are watching AI happen. A few are building with it. Fewer still understand what it's actually changing — in industries, in careers, in how we think.

Each year, I take on seven people for a focused, ongoing mentorship in AI. Not a structured curriculum. Not scheduled office hours. A real working relationship — with someone who has been in the room where this technology gets deployed at scale across Southeast Asia.

If you're building something, shifting your career, or trying to develop a sharper mental model of AI's real trajectory — this might be for you.

The cost is zero. What I ask in return: show up prepared, do the work between sessions, and pay it forward someday.

What This Looks Like

  • Monthly 1:1 video sessions — more if needed
  • Async feedback on work between sessions
  • Direct, unfiltered assessment of your thinking
  • Access to my network when it's genuinely useful
  • No fluff. No slides. No homework you didn't ask for.

Core Focus Areas

LLMs & Foundation ModelsAI Product DesignAI StrategyCareer NavigationApplied AI SystemsCritical AI Thinking

What We'll Explore Together

Large Language Models

How they actually work, where they break, and where they shine. Beyond the demos.

AI Product Design

Building tools people actually use — not prototypes that never ship.

AI Strategy

Thinking about AI at the organizational level — not just the model level.

Career Navigation

Finding your edge in a field that's rewriting job descriptions in real-time.

Critical AI Thinking

Separating signal from hype. Building conviction from evidence.

Applied AI Systems

How AI fits into real products, real infrastructure, real users.

Is This You?

Strong Signal

  • Engineers wanting to move up the AI stack
  • Product managers building AI-native features
  • Founders embedding AI into real products
  • Professionals navigating AI disruption in their field
  • Students serious about AI as a career path
  • Anyone building something — not just studying it

Weak Signal

  • People looking for a structured course or curriculum
  • Those wanting passive consumption without output
  • Anyone unwilling to work between sessions
  • People chasing credentials over understanding
  • Those expecting guaranteed job placement
  • Anyone not genuinely excited about the technology

People Like You

Real outcomes from people who came in curious and left building.

R.A.

Software Engineer → AI Product Lead

Series B fintech, Jakarta

"I came in knowing how to code. I left knowing how to think about what to build and why it matters."

Shipped an LLM-powered document processing pipeline in 4 months. Now leading a team of 6 building AI-native features.

LLMsProduct ThinkingTeam Leadership
S.M.

Product Manager → AI Strategy Lead

Regional logistics company, 3,000+ employees

"Edmund doesn't give you answers. He gives you better questions — and somehow that's more useful."

Built the internal case for AI adoption across 3 business units. Went from zero AI experience to running the company's first AI task force.

AI StrategyStakeholder Buy-inApplied AI
D.K.

CS Graduate → ML Engineer

Early-stage AI startup, Singapore

"The mentorship compressed what would've been 3 years of trial and error into 10 months of deliberate growth."

Navigated the jump from academic ML to production systems. Co-founded a startup 8 months after joining the program.

Career NavigationProduction MLEntrepreneurship

// Profiles anonymised with permission. Outcomes reflect individual results.

CANDIDATE_ASSESSMENT_PROTOCOL

The Assessment

Seven questions. No right answers. Just signal — about how you think, what you're building, and why this matters to you.

// INSTRUCTIONS
7 questions presented sequentially
Estimated time: 15–25 minutes
Take your time. Quality over speed.
Responses emailed directly to Edmund