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Shreyas NaphadOct 164 min read
Every AI Engineer Must Understand Embeddings
Explaining embeddings in 5 minutes
Empirq's Pick
Two sentences with different words can mean the same thing. A short, clear intro to how embeddings turn meaning into vectors you can compare with cosine similarity.
CM
Chidozie ManagwuFounding writerAug 219 min read
Why Most Split-Payment Systems Fail at the Business Layer
Most payment systems are designed for checkout.
CM
Chidozie ManagwuFounding writerAug 1110 min read
Engineering a 90%+ Margin Event Marketplace: Why We Bet on Telegram Mini Apps, PHP, and Lean AI
If your event marketplace is mostly software, not operations, you can push gross margins above 90% by combining Telegram Mini Apps for zero-friction distribution, PHP for a lean backend, and AI only where it directly improves conversion, moderation, or discovery.
AA
Adejoke AFounding writerSep 304 min read
Your Data Engineering Job Title Doesn’t Tell Me What You Do
Why the same title can mean completely different jobs depending on where you work
CM
Chidozie ManagwuFounding writerSep 288 min read
Building with Claude: The Production Lesson Is Bigger Than Prompting
Most discussions about building with Claude begin with prompt engineering.
Chidiebere NjokuFounding writerAug 317 min read
Your AI Is Only as Good as Your Data Pipeline
The AI revolution over the past few years has been dominated by massive foundation models, trillion-parameter counts, and futuristic chat interfaces. Yet inside engineering teams…
CM
Chidozie ManagwuFounding writerAug 2511 min read
Designing a Split-Payment Referral System in Django: A Full Implementation Guide
Split-payment systems are deceptively hard.
AA
Adejoke AFounding writerAug 1911 min read
Why AI Projects Fail Before Model Training Begins
AI success depends less on the model you choose and more on the data foundations, governance, and business context you build before training starts.
Chidiebere NjokuFounding writerAug 35 min read
How to Stop LLM Hallucinations: A Hands-On Engineering Guide
In production systems, "hallucination" is a catch-all term for when Large Language Models (LLMs) generate plausible-sounding but incorrect or unintended output.
CM
Chidozie ManagwuFounding writerJul 248 min read
How I Design Event-Driven AI Systems for Production
A deep dive into state, retries, idempotency, observability, and reliable workflow design for modern AI products.
Inside AI SystemsJul 238 min read
Multi-Head Attention To Flash Attention
What actually changes when you go from manual attention to a fused kernel
