I tightened it into a polished portfolio-style project entry and grounded it in your existing TeachMeAI documentation.

TeachMeAI

Problem

Corporate teams and professionals increasingly need practical AI literacy, but most training programs are either too generic, too expensive to update, or too rigid to match individual learning pace.

We identified a gap for a learning platform that could teach AI in a more personalized, measurable, and adaptive way. Learners needed guidance that matched their role, confidence level, and technical background, while administrators needed visibility into progress, weak spots, completion, and learning outcomes.

TeachMeAI started as a tool to help people learn AI in a structured, beginner-friendly way, especially non-technical professionals who wanted to understand and apply AI without being overwhelmed by jargon.

Solution

We built TeachMeAI, an adaptive AI learning platform that delivers role-personalized curricula through a conversational tutor experience.

The platform uses learner data from onboarding, assessments, and in-platform interactions to recommend relevant lessons, generate practice tasks, adjust difficulty, and provide targeted feedback. Content is structured into modular phases, lessons, micro-lessons, quizzes, and remediation loops, allowing learners to progress at their own pace while still following a clear learning path.

The system was designed to support personalized AI education at scale, with features such as:

Role-based onboarding and learner profiling
Conversational AI tutoring
Modular curriculum generation
Assessment-based progression
AI-generated lessons, quizzes, and practice activities
Evaluator workflows for content quality assurance
Learner analytics and progress tracking
Admin oversight for curriculum, assessments, and learner pathways

We also explored how TeachMeAI could support organizations through analytics dashboards, content management tools, and integrations with existing LMS or HR systems.

My Role

I led the product and AI workflow thinking behind TeachMeAI, from curriculum structure to content generation and evaluation systems.

My work included:

Designed the agentic workflow for the AI education content generator and evaluator
Designed the modular content framework for phases, lessons, micro-lessons, assessments, and remediation
Defined the AI inference pipeline for personalized learning delivery
Created the structure for learner profiling, onboarding, and adaptive lesson recommendations
Supported data annotation and quality assurance for AI-generated learning content
Defined the product roadmap, learning outcomes, and success metrics
Coordinated product, curriculum, design, and technical decisions around business goals
Evaluated product sustainability and made the decision to kill/pause the product due to market constraints and weak commercial viability at the time

Key Product Decisions

One of the most important decisions was designing TeachMeAI as more than a static course platform. The goal was to create a learning engine that could adapt to each user based on their role, confidence level, technical comfort, learning style, and progress.

Another key decision was to include an evaluator layer, so AI-generated lessons and assessments could be reviewed for quality, accuracy, clarity, and learner fit before being trusted at scale.

Eventually, I also made the decision to stop pushing the product further because the market and monetization constraints made it difficult to sustain at that stage. This was a strategic product call based on commercial reality, not just product enthusiasm.

Skills Demonstrated

AI Product Management
Agentic Workflow Design
AI Content Generation Systems
LLM Evaluation Design
Adaptive Learning Systems
Curriculum Architecture
Learning Experience Design
Product Strategy
Product Roadmapping
Data Annotation
Quality Assurance
User Onboarding Design
Learning Analytics
Success Metrics Definition
Cross-functional Coordination
Build/Kill Decision Making
Market Viability Assessment
AI Inference Pipeline Design
EdTech Product Development
Prompt Engineering
AI Automation Strategy

Adaptive learning cuts time to proficiency