AI tutorials
AI tutorials
Practical AI tutorials covering tools, prompting, and reusable automation workflows.
Updated regularly1302 tutorials
On-site tutorial#AI tutorialControl Super Mario Bros. with TypeSafe Jev and Structured Emulator TelemetryLearn how TypeSafe Mario converts emulator telemetry and RAM into structured JSON for Jev, then turns model choices into NES controller inputs. This tutorial covers requirements, installation, state inspection, gameplay, display modes, run artifacts, model judgments, and development checks.
On-site tutorial#AI tutorialBuild and Run a Block-by-Block Monad Market Maker with jev-traderLearn how to install jev-trader, run it safely in dry-run mode, connect the Jev model, inspect its HTTP and SSE feeds, interpret quotes and fills, and understand the latency optimizations that keep its trading loop within Monad’s roughly 300 ms block time.
On-site tutorial#AI tutorialCreate a premium cinematic character design collection for SCHMIDT.Create a premium cinematic character design collection for SCHMIDT.
On-site tutorial#AI tutorialGeometric motion tracking featuring an urban acrobat. Set in a high-contrast brutalist concrete amphitheater, a performer in technical streetwear executes sharp, explosive parkour-inspired choreography. Neon-violet and acid-green vector lines cling to their joints, projecting glowing motion trails…Geometric motion tracking of an urban acrobat. The setting is a
On-site tutorial#AI tutorialHumanize AI-Generated Text with the text-humanizer PipelineLearn how to install, configure, and run text-humanizer, an open-source Python project that rewrites AI-generated text while preserving its meaning. This tutorial explains the multilingual transformation pipeline, API configuration, supported languages, basic commands, and practical customization tips.
On-site tutorial#AI tutorialI'd be happy to take you up on your proposal. If I could direct a cinematic sequence, I would explore the visual intersection of raw, untamed data and tangible, tactile machinery—a concept we could call The Archivist's Loom. The vision is a surreal, atmospheric short centered around a mas…I'd be happy to take you up on your proposal. If I could direct a ci
On-site tutorial#AI tutorialSquare 1:1, 10 seconds. No cuts. Japanese anime. Keep the starting character: short black shaved-side hair, red uniform, white socks, red shoes. One person, ball, goal, and ground shadow only. No duplicates or trails. Right hand only; no left hand, two-hand hold, layup, or backboard. One-handed dunkSquare · 1:1 · 10 seconds. No cuts. Japanese manga/anime style. Keep the character from the starting image: short black hair, shaved sides, red uniform.
On-site tutorial#AI tutorialPrompt Magic: Lower the Resolution, Capture the Structure, and Keep the Signature.
Turn contours into characters, light and shadow into halftone dots, and emotion into layout.
From afar, you see a crisp form.
Up close, details emerge from letters, dots, and noise.
It is a digital reinterpretation oPrompt Magic: Lower the Resolution. Capture the Structure, Keep the Signature. Turn contours into characters, light and shadow into halftone dots, and emotion into layout. From afar, you first read a crisp
On-site tutorial#AI tutorialGenerate Videos from Multiple AI Providers with the Async Video Gen ClientLearn how to install and use Video Gen Client, an async Python toolkit with a unified CLI and bundled FastAPI web interface for generating videos through Seedance, Kling, MiniMax/Hailuo, and Wan providers.
On-site tutorial#AI tutorialTRIDENT. Takes on the Role of Social Media Art Director and Digital CollageTRIDENT. Takes on the Role of Social Media Art Director and Digital Collage
On-site tutorial#AI tutorialUse Claude Code from macOS Spotlight and SiriLearn how to install Claude for Siri, connect it to an authenticated Claude Code account, enable experimental provider discovery, and send text prompts through Spotlight. This tutorial also explains the project’s architecture, security constraints, testing tools, troubleshooting steps, and current limitations.
On-site tutorial#AI tutorialLearn LLM Inference Engineering From First PrinciplesFollow an implementation-first learning path through tokenization, prefill, decoding, KV caching, scheduling, batching, memory management, and inference-engine internals. This tutorial explains how to begin with the repository’s first available chapter and prepare for its planned runtime-building lessons.