AI articles and tutorials
In-depth explainers and tutorials on LLMs, AI agents, tools and the latest model releases.
- Why Running AI Agents Overnight Boosts Productivity (And How to Do It Right) — Learn how nightly AI agents automate tasks, boost productivity, and what developers need to set them up securely.
- Build an AI That Scores Leads and Writes Replies Automatically — Learn how to create an AI that ranks prospects and auto‑writes personalized replies, boosting outreach efficiency with LLMs and simple Python code.
- How a Tiny Blind Script Beats Frontier AI Models (And Why Metrics Lie) — A one‑megabyte script that never looks at the screen can match top AI models, but current benchmarks mask its fragility, costing millions in mis‑measured gaps.
- Browser Agents Need More Than AI Models — The Engineering Gap — Browser automation lags not because AI is weak but because the engineering harness is missing. Closing this gap unlocks reliable agents for real‑world tasks.
- How to Build a Browser Agent That Beats Captchas Using Chrome DevTools — Corey Gallon reveals how to create a trusted browser automation agent that mimics human clicks, bypasses captchas, and outperforms MCP servers.
- OpenWiki: Building Docs for AI Agents, Not Humans — OpenWiki is an open-source CLI that auto-generates documentation tailored for AI agents, improving their ability to understand and use codebases.
- App Llama: Turn Top App UI Designs into Code with AI — Discover how App Llama lets you copy UI patterns from leading apps and generate ready‑to‑use code via Claude or Codex.
- Control LLM Costs with LangSmith LLM Gateway – Simple Cost Management for Multi‑Model Workflows — Learn how LangSmith LLM Gateway lets you set and enforce cost limits across multiple models and agents, avoiding surprise AI spend spikes.
- Grok Bot Review: The First Ready‑to‑Use AI Agent You Can Install Today — Explore Grok Bot's consumer AI agents, $200 subscription value, shared‑computer security, and practical starter bots.
- Double DGX Spark Setup: Doubling AI Compute Power Explained — Explore how a dual NVIDIA DGX Spark configuration boosts AI compute, cuts training time, and reshapes LLM development.
- Stop Voice AI Scams: The Family Code Word Trick You Need Now — Learn a quick, free way to protect your family from voice cloning scams using a secret code word.
- OvisOCR2 + RAG: How Open-Source OCR Is Supercharged by LLMs — Discover how OvisOCR2 merges OCR with Retrieval-Augmented Generation to extract and query text from any document end-to-end, all in open-source Python.
- AI Agents Auto‑Optimize Their Harnesses: How Opus 5, GPT‑5.6 Sol and KIMI K3 Work — AI agents now optimize other agents' harness structures, using tools like Opus 5, GPT‑5.6 Sol and KIMI K3 to boost performance.
- Build Production AI Agents in 10 Minutes: Meta Agents, AgentSpec & LangGraph — Learn how meta agents automate forward‑deployed engineering, generate safe AgentSpecs, and build observable LangGraph agents in just 10 minutes.
- AI Agents Are Taking Over Your To‑Do List – Here’s How — This week's AI roundup reveals specialized agents that automate tasks like scheduling, coding, and content creation, turning complex workflows into simple, agent‑driven experiences.
- Scaling Continual Learning: Solving the ‘But Wait’ Problem with Self‑Distillation — Ronak Malde reveals how self‑distillation prevents AI models from collapsing into endless hedging while scaling continual learning across long tool‑call trajectories.
- Scrape the Whole Web Instantly with Firecrawl: AI-Ready Data on Autopilot — Discover how Firecrawl automates web crawling and monitoring, turning raw sites into clean, AI-ready data with 1,000 free monthly credits to start.
- Slash AI Costs: Turn Text Into Images to Save Tokens — Learn how converting text to images cuts token usage for LLMs, saving money on API calls while keeping context intact.
- Memory Harnesses: When Extra Context Actually Helps — Memory only matters when the task exceeds a model's context window; otherwise it just adds cost. A ranked recall ledger beats RAG and an oracle, and bad memory wastes tokens.
- Top New AI Models Compared: Glimmer, Nemotron 3.5, Grok 4.6 & More — Explore the latest open AI models — Glimmer, Nemotron 3.5, Grok 4.6, Solar Open2, A.X‑K2, and Motif 3 — and see how they stack up in performance.
- HTTP vs HTTPS Explained: The Simple Guide to Secure Web Traffic — Learn what HTTP and HTTPS really are, how encryption protects your data, and why every developer should care.
- How AutoScientist Is Democratizing Frontier Model Training — Sara Hooker reveals AutoScientist automates frontier model training, breaking the narrow AI talent funnel and proving scaling isn’t the only path to breakthroughs.
- Remotion vs Hyperframes: Which AI Video Tool Fits Your Workflow? — Remotion vs Hyperframes: a quick guide to AI‑powered video tools, comparing React‑based editing with open‑source MP4 rendering.
- Hyperagent: How AI Agents Find Customers and Build Websites Automatically — Learn how Hyperagent uses AI agents to prospect, create personalized sites, and automate outreach for businesses.
- Building Governed Agents: How to Control Cost, Data, and Compliance at Scale — Learn the fundamentals of AI agent governance, from security foundations to gateway infrastructure, and why it matters for scalable, compliant deployments.
- Designing AI Agents: Mastering Evals, Ceiling vs Floor, and Production-Ready Testing — Explore how to evaluate AI agents by focusing on critical issues, using ceiling-floor analysis, clustering, and code-mode testing for production reliability.
- Build a Social Media Agent with Managed Deep Agents – A Step‑by‑Step Guide — Learn how to create an AI‑powered social media assistant that watches Hacker News and Twitter, drafts post ideas, and notifies you on Slack using LangChain’s Managed Deep Agents.
- AI Video Automation: Let Hyperframes Code Your Motion Graphics Instantly — Discover how Hyperframes uses AI to auto‑generate MP4 videos from HTML/JS animations, handling captions and charts so creators can produce content on autopilot.
- Why AI Rollouts Fail: 3 Leadership Fixes Every Tech Leader Needs — Discover the three leadership moves that stop AI rollout resistance, protect jobs, and ensure real technical success.
- Why AI‑Generated Code Needs Zero‑Trust Verification to Avoid Hidden Debt — AI‑generated code can speed development, but without verification it creates hidden debt that grows over time. Learn how zero‑trust, multi‑layer checks stop that debt.