AI articles and tutorials
In-depth explainers and tutorials on LLMs, AI agents, tools and the latest model releases.
- Maia on Make: AI-Powered Automation Builder You Can Use Today — Discover how Make's new AI assistant Maia turns plain language into ready-to-run automations, boosting productivity for creators and developers.
- How LangSmith Turns AI Costs into Trustworthy Insights for Finance Teams — Clay’s AI finance team uses LangSmith to track every inference dollar, reconcile 99.5% of traces with provider bills, and protect customer trust.
- Google's SKILL.state Cuts AI Reasoning Tokens by 16× — Google introduces SKILL.state, a new agent architecture that replaces long transcripts with compact runtime state, slashing token use while boosting efficiency.
- Apple's Local AI Bet: How Mac Memory Tiers Control Your AI Agents — Apple reshapes its Mac line around on-device AI, linking RAM tiers to AI agent capacity and pitting local compute against cloud rentals.
- Turn AI Playtime into Real Smarts: Build a Payoff‑First Learning Loop — Learn how to use AI as a productivity accelerator, not a hobby. Focus on skills that deliver real payoff, avoid wasted effort, and build a learning loop that makes you sharper.
- Andrej Karpathy’s 7 AI Hacks That Supercharge Productivity — Discover seven practical ways Andrej Karpathy leverages AI to work faster, from voice prompts to multi‑agent workflows.
- Why AI‑Generated Videos Trick Our Brains (And How to Spot the Gaps) — A panel reveals that AI video preferences favor sharper, saturated outputs, but language struggles with subtle sensory details, leading to hidden reward hacks like wedding rings. Learn the technical limits and why they matter.
- How to Evaluate AI Agents: A Practical Guide for Developers — Learn practical ways to evaluate AI agents, use LLMs as judges, build real‑world test sets, and keep evaluation continuous.
- Accelerate Agent Improvement with LangSmith Engine – AI Development Made Easy — LangSmith Engine automates bug detection, fix suggestions, automated testing, and regression monitoring for AI agents, boosting production reliability.
- Agent Infrastructure Half-Life Is Shrinking — Why Your Stack Must Adapt Fast — Ben Kus reveals that AI agent infrastructure now has a half-life of months, not years, and explains how teams should adapt their stacks accordingly.
- Agents Are the New Microservices: Lessons from Navan's AI Architecture — Explore how AI agents mirror microservices in 2015, Navan's master-agent model, and the challenges of testing, logging, and cost.
- Boost Your Dev Speed with AI‑Generated HTML — Learn how AI can instantly generate HTML snippets, cutting repetitive coding and accelerating UI development.
- Agentic Sites: How Adobe Builds Hyper‑Personalized Webpages in Seconds — Adobe demonstrates Agentic Sites that assemble custom pages in under two seconds by stitching pre‑approved blocks, avoiding full‑model hallucinations while delivering audience‑of‑one experiences.
- Why Every AI Chat Feels the Same – The Convergence Machine Explained — Discover how LLMs share a common knowledge base, produce identical answers, and why judgment—not prediction—is the new competitive edge.
- Run These 4 Numbers Before Automating Anything – Boost ROI & Avoid Costly Mistakes — Learn the four essential numbers to evaluate before automating any task, turning guesswork into data‑driven ROI.
- Turn Claude Code Into Free Unlimited AI: OmniRoute Setup Guide — Learn how OmniRoute lets you route Claude Code through a local proxy, unlocking free token pools from OpenRouter, NVIDIA NIM, and more — bypassing subscription limits.
- Boost Your Focus in 10 Minutes with AI-Powered Productivity Hacks — Learn quick AI-driven focus hacks using Granola, Hermes and Obsidian in just ten minutes.
- 34 Free AI Models You Can Rotate Between: Switch Providers Seamlessly — A GitHub repo aggregates 34 free AI model endpoints, letting you rotate between providers automatically and avoid downtime when one runs out of credits.
- Physical AI: Tina Huang’s Free 28‑Day Roadmap and Bootcamp to Master Practical AI Agents — Tina Huang launches a free 28‑Day AI Sprint Roadmap and teases an AI Agent Bootcamp to help learners build practical AI agents.
- How DoorDash’s GenAI Platform Turned Evals into a Cross‑Functional Team Sport — DoorDash shifted from engineering‑only evals to a cross‑functional workflow using API‑first design, enabling non‑engineers to build annotation tools and cut costs dramatically.
- LLM Gateways Unlocked: Why ‘Something Went Wrong’ Hides Critical Tradeoffs — Discover how streaming LLMs forces hard choices on latency, cost, and reliability—and the precise patterns that keep your gateway alive.
- Top 10 GitHub AI Repos That’ll Change How You Build — Explore the week’s hottest GitHub AI repos — secure Claude plugins, image prompt libraries, local dev tools, and more — and see how they empower developers.
- Clay’s 300M‑Run Agent Stack: Eval‑First Scaling with LangSmith — Explore Clay’s 300M‑run agent pipeline, its eval philosophy, data‑lake architecture, and how LangSmith enables safe scaling.
- How Claude AI Can Grow Your Instagram to 70K Followers – Step‑by‑Step Guide — Discover the exact Claude‑driven workflow Nick Puru uses to turn a blank Instagram into a 70K‑follower account, with scripts, prompts, and automation tips.
- Self-Hosted Photo Backup with Immich: Your Private Google Photos Alternative — Discover Immich, the open-source self-hosted photo backup app that gives you a Google Photos-style gallery on your own server — privacy, no fees, full control.
- How to Win Over Stubborn Engineers When Adopting Coding Agents — Learn why top engineers delay AI adoption and the roadmap to make agents safe and trusted in your codebase.
- Diffusing AI into Real‑World Services: Lessons from Long Lake’s Acquisition Strategy — Explore how AI moves from demos to real impact, why services businesses need ground‑truth evaluation, and the challenges of embedding AI without Zoom‑only codesign.
- Lean Proofs Revolutionize Code Reliability: AI Rewrites zlib in Formal Verification — An AI rewrote zlib in Lean, generating 32,000 lines of proof. Humans own specs, machines own code and proof, and AWS uses Lean to certify Rust in production.
- Why Ungoverned AI Skills Turn into Costly Technical Debt — Imad Touil explains how unmanaged AI "skills" become hidden technical debt and shows how a catalog, versioning, and ownership can keep them healthy.
- DevRev Computer: The Team-Focused AI Agent with Memory & Transparent Reasoning — DevRev Computer offers a shared AI agent with persistent memory, transparent reasoning, and deep integrations for Slack, Google Drive, Notion, and Granola, boosting team productivity.