01 / LOCAL
Private AI,
close to home.
Testing capable local models on consumer hardware, with privacy, control and offline use in mind.
PERSONAL TECHNOLOGY LAB / 2026
Building what
comes next.
I’m Samuel Chen—a hands-on technology explorer turning AI, software and emerging tools into practical, observable systems.
01AI · TECHNOLOGY
· AUTOMATION
SCROLL TO EXPLORE
· AUTOMATION
/ 01
THE SHORT VERSION
New technology is only interesting when it becomes useful.
I test ideas beyond the demo: local AI, agents, automation, software, networking and energy technology. The aim is always the same—understand the system, build thoughtfully, measure the result, then improve it.
/ 02
CURRENT QUESTS
Inside the AI lab
Experiments in practical capability—not hype.
Private AI,
02 / AGENTS
Automation with
a human view.
Exploring coding agents, computer use and multi-step workflows that stay visible and controllable.
03 / SYSTEMS
Useful tools need
solid foundations.
Designing and troubleshooting the networks, services and data flows that make a system dependable.
/ 03
A NEW CHAPTER
Technology in practice
Learning new technology by bringing it into real workflows.
Visual workflow systems
Exploring how visual planning can make complex work easier to understand, coordinate and review.
My professional focus includes clearer phase planning, milestone visibility, structured feedback and responsible automation. Public information stays intentionally high-level so workplace systems and implementation details remain confidential.
This section describes professional capabilities only. Employer systems, names, data, screenshots, architecture and source code are not published.
VISUAL WORKFLOWFICTIONAL CONCEPT
MTWTF
DISCOVERRESEARCH
DESIGNPROTOTYPE
BUILDWORKSPACE↕
REVIEWTEAM CHECK
04 PHASES IN MOTION
AI-assisted control centre
Modernising established web applications with a visual phase-management control centre. An embedded SDK can capture comments in context, structure them as feedback and return them to a human-reviewed AI development loop.
OBSERVE→COMMENT→AI ITERATE→TEAM REVIEW↻
The goal: continuous improvement with visible decisions, shared context and team collaboration.
Connected workflow foundations
Exploring how modern interfaces can exchange validated information with established business systems while preserving clear permissions, traceability and human approval.
01VISUAL WORKSPACEClear interaction
⇄
02CONTROLLED FLOWValidate + approve
⇄
03BUSINESS SYSTEMSProtected records
Technical architecture, credentials, schemas and operational records stay outside the public site.
/ 04
PLAY · PRESERVE · UNDERSTAND
The technology that shaped play
Retro gaming is part nostalgia, part engineering history.
Games are software, hardware and culture worth preserving.
I enjoy retro gaming not only for the experience, but for what older systems teach us about constraints, design and creative engineering.
Game preservation
Keeping the history, context and experience of important games accessible for the future.
Emulation
Understanding how software recreates classic systems, timing and behaviour on modern hardware.
FPGA
Exploring hardware-level recreation and the pursuit of accurate, responsive preservation.
Design under constraint
Learning from the inventive graphics, sound and interaction created with very limited resources.
/ 05 — ABOUT
Curious by default.
Practical by design.
My work spans software and hardware: AI agents and local language models, visual workflow tools, responsible automation, system integration, infrastructure, EVs and home energy.
I enjoy understanding what is underneath the interface—then bringing new technology into the workspace in a way that is useful, observable and open to human feedback.
That curiosity extends to retro games, emulation and FPGA systems: technology where preservation and precise engineering meet.
Experiment→Understand→Build→Measure→Improve
THE NEXT CONVERSATION
Let’s connect.
Follow the work, explore the projects, or simply say hello.