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Human Ingenuity × Artificial Intelligence

Where HR & talent leaders learn AI by doing.

A warm, practical space for HR and talent people exploring how AI reshapes work - learning by doing, with human ingenuity firmly at the core.

Get the experiments - free See how it works
✓ Real experiments · Honest lessons · No hype
Watch: We had 15 min to redesign hiring with AI
A hands-on experiment from a Korn Ferry Academy session - learning by doing, in practice.
Illustration of Tong at her desk experimenting with AI, with 'Stay Human' and 'HI x AI experiments' notes around her
A personal note

Hi - I'm turning AI learning into real practice, and you're welcome along.

As an HR practitioner, I became curious about how AI is reshaping our work. Like many of us, I've taken the courses and studied the frameworks - and found the real gap was applying them in everyday work. So I began experimenting in practice: testing ideas, keeping what works, and sharing what I learn along the way.

No hype, no jargon - just honest experiments that turn good learning into real outcomes, with people kept firmly at the centre. If that resonates with you, I'd love to have you follow along.

Warmly, Tong
Designer, HI x AI experiments
ICF-trained ACLP SHRM-SCP IHRP-SP
The challenge

Everyone says "use AI" - but where do you actually start?

HR and talent professionals are told AI will change everything, yet practical, trustworthy guidance is scarce and scattered.

Too much hype, too little proof

Endless tools and hot takes, but few real proof-of-concept examples you can learn from or trust in an HR context.

Learning alone is slow

Experimenting in isolation means repeating mistakes others already solved. There's no easy place to compare notes.

Hard to find the right expertise

When you need a fractional expert or a vetted tool, you don't know where to look - or who to trust.

The human gets lost

Most AI conversations forget the point: better outcomes for people. We keep human ingenuity at the centre.

The idea

Explore AI through real experiments, and grow your capability as you go.

Learn from real experiments, try things for yourself, and grow your AI capability - without losing the human core.

Get the experiments - free
What we explore

Three themes that outlast any tool

Three areas we keep experimenting in - the things that stay valuable no matter how fast the technology changes.

1

Governance & trust

Keep AI decisions defensible. Clear decision rights and audit trails so trust compounds as AI scales - because one ungoverned decision can erase a year of it.

2

Capability & fluency

Helping people get genuinely comfortable with data and AI - through hands-on practice, not slides. Capability is what keeps paying long after any single tool is gone.

3

Outcome ownership

Organise around outcomes that survive the next reorg - human and machine working as one team, with clear accountability for results.

Learning moments

Try one when you're ready

Short, practical HI x AI experiments - find one, try it, share what happened. New moments added regularly.

Governance & trust

Write your AI decision-rights one-pager

Trust compounds - and a single ungoverned AI decision can erase a year of it.

Try this: before AI touches a hire, draft who decides, what AI may suggest vs decide, what's logged, and who can appeal.
Fuel: Mercer - the new HR bottlenecks
Capability

Run a 60-minute build clinic on yourself

Capability outlasts the tool. A reorg is one-time; capability keeps paying.

Try this: map where one of your top-5 people-decisions' data actually lives, and fix one broken pipe.
Fuel: McKinsey - everyone must become a technologist
Outcome ownership

Rewrite one HR task as an outcome

Sustainable models organise around outcomes that survive the next reorg.

Try this: turn "run onboarding" into "new hire productive in 30 days" - then split the human and machine steps and name who's accountable.
Fuel: Deloitte - reskill in parallel with the tech
Capability

Put a messy policy doc through NotebookLM

AI as a thinking partner for the documents no one actually reads.

Try this: drop one policy doc into NotebookLM and ask it three hard questions a new joiner might have.
Fuel: Google NotebookLM

More moments added regularly. Follow along →

How it works

The L.E.A.R.N. model

A simple path from first curiosity to confident, human-centred AI practice.

L

Learn from real moments

Real HI x AI experiments, webinars, and the latest news - distilled for HR and talent practitioners.

E

Experiment safely

Try proof-of-concept tools and templates in a supportive space where it's safe to test, fail, and iterate.

A

Access talent & tech

Down the line, perhaps fractional HI x AI experts and trusted tools - an idea I'm exploring, not a promise.

R

Reach the right people

If a community forms in time, a place to swap ideas and meet others exploring the same space.

N

Nurture continuous growth

Keep growing - for yourself and the people you serve - with human ingenuity always at the core.

→

Ready when you are

Start by following along, and we'll see where it grows - no rush, no hype.

What you'll find

Start with the moments - the rest can grow from here

Beginning simply and honestly: Learning Moments now, shared from time to time. A community and access to people and tools may grow later - only if they earn their place.

🧪

Learning Moments · HERE NOW

Short, practical HI x AI experiments to try - shared regularly, free to follow.

💬

A community · MAYBE

If more people join, a friendly space to swap notes and share what you tried.

🌿

Talent & tools · SOMEDAY

Down the road, perhaps access to fractional HI x AI experts and trusted tools.

Directions, not deadlines - built naturally, in the open.

Get HI x AI experiments - free

Get practical HI x AI experiments to try - shared regularly - and grow your AI capability, with human ingenuity at the core.

    Short, regular experiments by email. No spam, leave anytime.