Forget toy agents. This is your guide to the guts of AI agent frameworks, how to pick 'em, and how to build agentic systems that actually deliver.

Composing the future: an iron-clad analysis of AI agent architecture frameworks

Gradient descent is a fundamental optimization algorithm in machine learning. It's a way for models to learn from data and improve their accuracy by gradually adjusting their internal settings. Think of it like carefully descending a hill to find the lowest point, each small step you take brings you closer to the best possible solution.

Explaining gradient descent in machine learning with a simple analogy

How societies naturally organize around different types of knowledge work; from those who apply compressed rules to those who derive new principles from scratch.

How knowledge work organizes itself

Introducing the OGIF Memo Summarizer, a chatbot we developed using Dify in collaboration with @innno_. This tool transcribes YouTube videos and extracts key points from our Oh God It’s Friday (OGIF) sessions. By providing both short and detailed summaries in English and Vietnamese, it significantly enhances our ability to review and reference the diverse knowledge shared every Friday.

How we crafted the OGIF summarizer bot to streamline weekly knowledge-sharing

Discover InterviewGPT, an AI-powered ChatGPT system that automates technical interviews by generating tailored questions and evaluating answers for engineers at all experience levels.

How we created an AI powered interview system using OpenAI's ChatGPT

Dissecting the evolution of AI agents from eager human-in-the-loop systems to fully autonomous entities, and how each stage automates the core tasks of exploration, planning, execution, and review.

Mapping the path to AGI

This guide explores implementing robust authorization for Model Context Protocol (MCP) over Server-Sent Events (SSE) transport, providing a standardized framework for secure AI-to-tool communication while maintaining vendor independence.

Securing your remote MCP servers

How human cognition and artificial intelligence both develop increasingly abstract representations, from simple stimulus-response patterns to deep hierarchical understanding.

The five stages of learning

A comprehensive guide to implementing granular access control for Model Context Protocol (MCP) servers, allowing organizations to securely expose tool capabilities based on user roles and permissions while maintaining data privacy.

Topics > AI

2025

September (2 posts)

June (2 posts)

March (2 posts)

2024

July (1 posts)

June (1 posts)

2023

May (1 posts)