GetLLMs tools
One place for practical AI model, API, icon, and coding-agent review utilities.
Only usable tools are listed here, so every card leads to a working page.
Core tools
Start here when you need to choose, compare, or verify an AI workflow.
AI Model API Directory
Filter model APIs by provider, modality, pricing, context window, and capability flags.
You need a shortlist of callable models with comparable technical fields.
Compare AI Models
Compare selected model APIs side by side by cost, context, modalities, and technical limits.
You already have candidate models and need a direct technical comparison.
Mobile Coding Agent Review Checklist
Decide whether a coding-agent pull request is safe to review from a phone or needs desktop verification.
You need a fast risk read, required checks, and a review prompt before approving an agent PR.
AI Coding Agent Monitor Comparator
Compare coding-agent monitor tools by supported agents, token usage, permissions, local servers, platform, price, and openness.
You need to choose between monitor or multiplexer tools before adopting an agent-heavy workflow.
Smart Requirements Matching
Match project requirements to model API candidates by task, modality, cost, context, reasoning, tool calling, and open-weights constraints.
Use when you know the task and constraints but not the best candidate model APIs yet.
Supporting tools
Utilities for preparing assets and working faster across AI product surfaces.
AI Model Icon Finder
Search AI model, provider, product, and website icons by name or domain.
You need an icon placeholder or local asset for an AI model, provider, product, or website.
v0 / Framer Design System Prompt Generator
Generate or check prompts that package GitHub, npm, Storybook, Figma, screenshots, ZIPs, tokens, and brand constraints for v0, Framer, or coding agents.
You need a compact prompt, file checklist, QA checklist, and gap report before asking an AI builder to recreate a design system.
Agent Evaluation Tool Finder
Find eval tools and required evidence fields for coding, browser, RAG, and workflow agents.
You need to map an agent type to traces, benchmark, simulator, or human-review infrastructure.