How to Build an AI Agent From Scratch (With Working Code) 🤖
The article offers a step‑by‑step tutorial for building a fully functional AI agent in Python, from a blank file to a system that can query the web, synthesize answers, handle errors, and report its own operating cost. It breaks down the universal core loop that powers frameworks like LangChain and CrewAI, and introduces a one‑line design formula that converts vague ideas into concrete specs. The guide also outlines five reusable workflow patterns that often replace full‑blown agents, and dives into practical concerns such as token‑window limits and per‑query dollar costs.
The Definitive Guide to Perplexity Computer 🖥️
Perplexity launched Perplexity Computer, a cloud‑based AI agent that orchestrates 19 frontier models from a single prompt. The $200‑per‑month service includes 10,000 credits and promises 15‑20 hours of monthly productivity savings for founders and investors. Within weeks of its Feb 25, 2026...
Skill Graphs: The Architecture That Solves the AI Agent Context Window Problem 🤖
Skill graphs are introduced as a solution to the AI agent context window problem, where larger monolithic skill files degrade model reasoning. A 2025 Chroma study of 18 frontier models, including GPT‑4.1 and Claude Sonnet 4, showed performance drops as input...
120+ AI Use Cases From Leading Startups & Internet Companies 🚀🧠
The episode spotlights a curated database of over 120 production AI use cases spanning fintech, healthcare, security, dev tools, creative software, and more, detailing what each startup builds, how AI is embedded, and the business impact. It highlights concrete examples...
