In this article, you will learn how the seven layers of a production AI agent stack fit together, from the foundation model down to deployment infrastructure.
Author Archive | Shittu Olumide
Agentic Workflow vs. Autonomous Agent: What’s the Difference?
In this article, you will learn how to distinguish agentic workflows from autonomous agents by focusing on who owns control flow — a human writing code in advance, or a model reasoning at runtime.
Building Browser-Using AI Agents in Python
In this article, you will learn how to build AI agents that can browse and interact with real websites using Playwright, browser-use, and LangGraph.
Multimodal Browser AI with Transformers.js for Images and Speech
In this article, you will learn how to build multimodal AI capabilities — image classification, image captioning, and speech transcription — that run entirely in the browser using Transformers.js, with no server, no API key, and no data leaving the user’s device.
The Practitioner’s Guide to AgentOps
In this article, you will learn what AgentOps is, how it differs from traditional LLM monitoring, and how to build a production-ready observability stack for autonomous AI agents.
Building Semantic Search with Transformers.js and Sentence Embeddings
In this article, you will learn how sentence embeddings work and how to build a fully client-side semantic search engine using Transformers.js, with no server, no API key, and no backend infrastructure required.
The Roadmap for Mastering LLMOps in 2026
In this article, you will learn how to build production-grade LLM systems by following a structured six-step LLMOps roadmap covering observability, evaluation, cost control, and agent orchestration. Topics we will cover include: How LLMOps differs from traditional MLOps, and what foundational skills you need before touching any LLMOps tooling. How to instrument LLM calls with […]
Agentic Programming: A Roadmap
In this article, you will learn what agentic programming is, how production-grade AI agents are built from the ground up, and what it takes to go from zero experience to shipping a real agent in production.
Prompt Engineering for Agentic AI
In this article, you will learn how prompt engineering changes fundamentally when applied to agentic AI systems, and what principles and patterns enable reliable agent behavior at scale.
Building AI Agents with Local Small Language Models
In this article, you will learn how to build a fully functional AI agent that runs entirely on your own machine using small language models, with no internet connection and no API costs required. Topics we will cover include: What AI agents and small language models are, and why running them locally is a practical […]