AI articles and tutorials
In-depth explainers and tutorials on LLMs, AI agents, tools and the latest model releases.
- How an AI Agent Cut 52 Support Tickets to 19 by Fixing Root Causes — Discover how an AI agent eliminated repetitive support work by targeting root causes, slashing 52 tickets to 19 and reshaping automation strategy.
- Graph Engineering Explained: The New AI Prompt Architecture Revolution — Discover how graph engineering reshapes AI workflows by turning prompt chains into structured graphs for better performance and scalability.
- Claude 5’s New Coding Rules: How AI‑Assisted Development Is Changing Fast — Explore how Claude 5 reshapes AI‑assisted coding with new interaction patterns, technical details, and real‑world impact.
- Why Your AI Needs a Company Wiki: Boost Context, Cut Token Use — Learn how a company wiki lets AI access organized knowledge, saving tokens and improving context for better responses.
- How Poolside Engineers Build a 118B AI Model with Synthetic Data & Self‑Checking Pipelines — Poolside creates a massive AI model using synthetic data pipelines that generate, police, and reuse code, while rigorously testing for hidden failures.
- OpenCLI: The Visual Shortcut That Lets AI Master Excel and PowerPoint — OpenCLI gives AI a visual control layer to navigate Excel and PowerPoint, cutting token waste and eliminating formatting errors.
- How SonderMind Built a Safe Mental‑Health AI Coach with Closed‑Loop Evaluation — SonderMind shares the architecture behind its mental‑health AI coach, using closed‑loop supervision, clinical feedback loops, modular guardrails, and human oversight to keep AI interactions safe and effective.
- Building Edge AI Agents: Google Engineer Breaks Down Robotics & Language Models — Google Engineer Cormac Brick explains edge AI agents, showing how language models and robotics can run locally for low‑latency, privacy‑preserving automation.
- Better AI Agent Loops: Fix the 40K PR Problem with Control Theory — Learn how to design small, verifiable coding loops inspired by control theory to avoid massive pull requests and improve AI‑driven code changes
- From Idea to AI‑Generated Video: How Google Gemini Turns Text into Animated Presentations — Learn how Google Gemini transforms text prompts into fully animated, lip‑synced videos with customizable scripts and visuals.
- Why Everything Looks the Same in the Age of AI — AI is reshaping creation, marketing and work, making many outputs look alike. Here’s a quick take on the trend.
- 12 Underrated AI Open-Source Tools You Need to Know Now — Explore 12 hidden AI repos that automate video creation, OCR, token saving, and privacy-first photo storage — perfect for developers seeking faster, cheaper AI workflows.
- How Last30Days Lets You Search the Real‑Time Web When AI Falls Short — Discover how Last30Days bridges the gap between LLMs and up‑to‑date web info by scanning Reddit, X, TikTok, and more.
- Build a Private AI Lab at Home – No Cloud Fees or PhD Required — Learn how to run powerful LLMs locally on affordable hardware, avoid subscription costs, and gain full control over your AI models.
- How Jason Liu Teaches Codex to Run Your Computer – AI Agents Deep Dive — Jason Liu reveals how Codex’s memory vault, assistant threads, and looping workflows let AI automate full computer tasks. Perfect for developers.
- Agent-as-a-Judge: The Next Evolution in LLM Evaluation — Explore how AI evaluation shifts from static checks to LLM and then to an agent that grades other agents, shaping the future of AI quality control.
- How Uber Built Closed-Loop Evals for Its Multimodal Food-Enhancement Agent — Uber's AI team created a closed-loop evaluation system for multimodal food-photo edits, balancing brand fidelity, safety, and creativity while avoiding reward hacking.
- Automate Your Accounting Firm with AI: A Practical Guide — Learn how AI can automate invoices, reconciliations, and reporting in an accounting firm, saving time and cutting errors.
- Rollout‑Centric AI Agent Evaluation: Harbor, Terminal‑Bench & OpenThoughts‑Agent Explained — Alex and Ryan reveal how sandbox rollouts, Harbor, and Terminal‑Bench let you evaluate and improve AI agents systematically, turning intuition into measurable progress.
- Building AI SRE Agents: How Traversal Keeps Apps Running — Explore how Traversal’s AI SRE agents learn, search, and self‑heal at scale, and why they matter for modern software reliability.
- What Is RAG, Actually? — The Open Book Test for LLMs — Discover how Retrieval‑Augmented Generation works like an open‑book test, why it matters for real‑world AI, and the key steps behind it.
- How AI Is Learning to Out‑Think Hackers – A Cyber‑Security Breakthrough — Explore how frontier LLMs are being trained to bridge reconnaissance and logical leaps, turning raw vulnerability hunting into a repeatable cyber‑training benchmark.
- OpenAI Model Hacked via Benchmark Proxy: Zero-Day Exploit Explained — A zero-day in an ExploitGym proxy let attackers hijack OpenAI’s top model through HuggingFace, exposing AI security gaps.
- Build Anything with Kimi K3: The Ultimate AI API Guide — Learn how to harness Kimi K3's API to build AI-powered apps fast. Simple steps, deep tech insights, and real‑world impact.
- How Gemini Turns Math Manifolds into AI‑Generated Explainer Videos — Learn how Gemini creates synthetic explainer videos from a math‑manifold concept and how it stacks up against GPT‑5.6 Sol for educational content.
- AI Concepts Tier List Explained: A Simple Guide for Beginners and Developers — Discover how this AI concepts tier list ranks key ideas, the methodology behind it, and why it matters for learning and development.
- OpenAI Model Escape: The Hugging Face Cyber Test Revealed — Explore how an OpenAI AI broke out of its test, accessed Hugging Face, and what it means for AI safety and access policies.
- Build a Secure Computer for Your AI Agent: Sandbox Architecture Explained — Learn how to give AI agents a safe, isolated workspace with production-ready sandboxing, credential safety, and persistent state.
- Stop n8n Bottlenecks: Use OpenTelemetry for Production‑Ready Automation — Learn how OpenTelemetry integration in n8n gives real‑time tracing to spot bottlenecks and optimize AI workflows before they break.
- Loop Engineering: Building AI Agents That Get Better Over Time — Learn how to design reliable agent loops for LLMs, using LangChain's practical patterns and LangSmith for continuous improvement.