What Actually Happens Inside an AI Agent?
A simple mental model for understanding the loop behind modern AI agents.
01
AI Fundamentals
Understanding the building blocks behind modern AI systems — from LLMs and embeddings to inference and evaluation.
AI Engineer · Tech Lead
Building AI systemsthat work beyond the demo.
I'm Snehal Agrawal — a Tech Lead and AI Engineer working at the intersection of AI systems, distributed architecture, and product engineering.
01What I'm exploring
From AI fundamentals toproduction architecture.
This is a collection of ideas, patterns, experiments, and lessons from building AI systems in the real world.
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02
AI Applications
Designing useful LLM-powered applications that solve real problems instead of stopping at the demo.
03
AI Agents
Exploring agents, tools, workflows, memory, orchestration, and the engineering patterns behind agentic systems.
04
Production AI
Reliability, evaluation, observability, performance, cost, security, and everything that matters after the prototype.
05
AI Architecture
The engineering decisions, trade-offs, and system designs behind scalable production AI.
02Latest thinking
Recent articles
The goal
Build systems that are useful, reliable, and explainable.
AI is moving fast. Good engineering still matters.