Dive into an interactive world of models, hardware estimators, and visual guides. Discover what runs offline, test your hardware limits, and navigate with total clarity.
Zero-latency, client-side calculators and decision matrix tools for modern AI workflows.
Find the optimal foundation model for autonomous AI agents. Compare 15+ models across coding loops (SWE-bench), tool calling (BFCL), compounding loop token economics, and prompt caching discounts for Vercel AI SDK & PydanticAI.
Calculate, compare, and forecast API token expenditures across 50+ frontier models from OpenAI, Anthropic, DeepSeek, Meta, Google, and NVIDIA. Features live pricing for GPT-6 Astra, Claude Sonnet 5, Llama 4 Maverick, DeepSeek V4.1, and Nemotron 3.
Calculate exact GPU VRAM requirements, KV-cache context scaling, and token generation speed (tok/s) for DeepSeek-R1 (671B), Nemotron 3 Super, Llama 4, and Qwen. Includes 1-click Ollama & vLLM launch commands.
Build production-ready system prompts with few-shot examples, negative constraints, and strict JSON Schema output enforcement. Features live BPE token estimation and 1-click export for OpenAI, Anthropic, and Vercel AI SDK.
Compare 45+ frontier LLMs on an interactive 2D intelligence vs. price value matrix. Calculate blended token costs, identify Pareto efficiency sweet spots, and benchmark intelligence-per-dollar across OpenAI, Anthropic, DeepSeek, and Meta.
Test if your PC, Mac, or workstation can run open-weights models (Gemma 4, DeepSeek V4.1, Llama 4 Maverick, Qwen 3) locally. Calculates exact GPU VRAM fit, system RAM offload layers, and token generation speed.
Benchmark and calculate true end-to-end production costs across AI video, image, and voice models (Runway Gen-4.5, Kling 3.0, FLUX 1.1 Pro, ElevenLabs v3). Accounts for creative re-roll rejection rates, 4K rendering, and enterprise copyright clearance.
Calculate exact GPU VRAM, System RAM, and NVMe disk space required to clone and run any GitHub repository or Hugging Face model checkpoint. Features instant PC auto-detection and 2026 foundation model presets.
Calculate API cost reductions (up to 94%) and sub-100ms turn speedups by splitting autonomous agents into System 1 typed decision engines (TypeSafe AI Jev) and System 2 frontier reasoning LLMs. Models loop prevention circuit breakers and production workflows.
Curated picks based on developer adoption, community growth, and search demand - refreshed as the ecosystem evolves.
Local LLM Runtime
The default way developers run open models locally - one command, any OS.
Inference Server
Production serving standard with PagedAttention - best GPU throughput per dollar.
Inference Engine
GGUF quantization keeps pushing consumer-hardware inference forward.
In-House Tool
Compare intelligence per dollar across every major provider - updated weekly.
In-House Tool
Estimate real API bills before you commit to a provider.
In-House Tool
Know if QLoRA fine-tuning fits on your GPU before you start.
Explore technical guides and architectural benchmarks organized by domain.
Autonomous agents, decision engines (System 1/2), tool routing, and agent runtime frameworks like Jev, Hermes, and Grok.
LLM guides, prompt engineering, model fine-tuning, and inference optimization tutorials.
CI/CD pipelines, container orchestration, infrastructure as code, and cloud cost optimization.
Frontend frameworks, performance optimization, web standards, and browser APIs.
SQL tuning, NoSQL patterns, vector databases, and data modeling best practices.
In-depth, peer-reviewed engineering articles on AI, DevOps, web performance, and databases.
Why conversational prompting fails on large codebases, and how to use version-controlled spec.md files to anchor AI coding agents to strict architectural contracts.
A practical walkthrough for non-developers: how to turn conversational prompts into live interactive web interfaces in minutes using Claude Artifacts and Vercel v0.
Why rapid AI prompting creates fragile spaghetti code at scale, and the architectural principles needed to keep your vibe-coded application stable, secure, and maintainable.
An honest, zero-jargon breakdown of vibe coding in 2026: how anyone can ship functional web apps using natural language, what tools to use, and where the limits lie.
Master the battle-tested Role-Context-Task-Constraint (RCTC) framework. Includes copy-pasteable prompt recipes and real-world failure patterns for beginners.
A clear, real-world mental model for beginners: how AI models predict tokens, why context windows matter, and how to eliminate hallucinations without technical jargon.