I'm Clarence Cheang Jing Loong. I run AI for revenue, then teach it. AI drives daily operations in my 7-figure Amazon FBA brand and my AI coaching practice. I turn those live systems into competency-based curricula working professionals can apply the same week.
Adult learners get the most from an instructor who still does the work daily and can map every concept to a real outcome. Three principles run through every session I design.
Learners hit the real problem first, then we conceptualise. The concept lands because they already felt the gap it fills.
Every activity maps to a stated learning outcome and an assessment signal. Learners leave with evidence they can do the thing, not notes about it.
Each session ends on a transfer task tied to the learner's own context, so the skill survives contact with Monday.
These run on a live P&L, not in a sandbox. They are the material I teach from. Two are public and you can try them now.
Multi-agent product-research and competitor-intelligence workflow: keyword strategy, PPC, and inventory forecasting, running across a live profitable e-commerce P&L.
See it at thefbabros.com10,000+ scenario runs modelling breakeven timelines, capital exposure, and inventory risk. A worked teaching tool for AI-assisted decision modelling.
Try the live simulatorMulti-agent systems, prompt engineering, and workflow design translated into teachable, assessable modules for working professionals.
Produces high-converting e-commerce assets and enables rapid A/B testing at scale.
Automated lead handling and conversational sales workflows.
A benchmarking framework that gives learners a measurable mental model for adoption decisions.
Invited to keynote and guest on industry stages, and trusted to train adult learners at a national WSQ provider.



Invited speaker on selling and AI-driven operations.
View presentation



Delivered training to adult learners with SIRS, a national WSQ/SSG continuing-education provider.
View presentationRuns a profitable Amazon FBA brand and an AI-integrated coaching business. Designs and facilitates proprietary GenAI curricula for cohorts of working professionals, owning content, delivery, and learner feedback. Builds multi-agent systems that replaced manual decision processes, and owns full P&L.
Managed large-scale infrastructure coordination, contract evaluation, and cross-team problem solving on national transport projects. Built the structured-thinking and stakeholder-communication discipline that now underpins lesson design and assessment.
Engineering foundation in systems thinking, modelling, and structured problem solving.
Generative AI, prompt engineering, AI workflow automation, and multi-agent systems, for adult learners and corporate cohorts. Physical, virtual, or blended.