14 tools
Check whether your GPU can run a given local LLM before downloading gigabytes. Compares your available VRAM against the model's requirements at each quantization level.
EyeSift is a free online platform that detects whether text content was written by humans or generated by artificial intelligence systems. The detector analyzes submitted text and provides instant feedback on the likelihood of AI generation, all without requiring any account creation, signup, or authentication. Users can simply paste or upload text directly for real-time assessment, making the tool immediately accessible for anyone needing to verify content authenticity and original source. Powered by machine learning algorithms, the detector evaluates writing patterns, linguistic characteristics, and stylistic markers that are typically produced by AI language models. The tool helps writers, educators, content managers, and publishers verify the authenticity of submissions, maintain academic integrity standards, and ensure consistent content quality across editorial and publication processes.
Calculate exactly how much GPU VRAM a local LLM needs at any quantization and context length. Enter a model and see its memory footprint before you download — no guesswork.
Find the cheapest GPU that can run the local LLM you want. Recommends hardware by required VRAM, quantization, and target context length.
Estimate and compare LLM API costs across providers by tokens, model, and request volume — and see the break-even point versus running the model on your own GPU.
Calculate the electricity cost of running a GPU for local AI inference. Enter wattage, hours, and your power rate to get the real cost per million tokens.
Pick the right GGUF quantization for your hardware. Compare Q4, Q5, Q6, Q8 and more on quality vs. VRAM so you fit the largest model your GPU can hold.
Work out how much VRAM a model's context window consumes and the maximum context length your GPU can handle for a given local LLM.
See which local LLM servers and gateways expose an OpenAI-compatible API, and which endpoints (chat, embeddings, tools) each one supports.
Generate ready-to-paste config for pointing Claude Code, Cursor, Aider, Cline, and other coding agents at your own local LLM via an OpenAI-compatible endpoint.
Check whether your device can run local AI models in the browser. Probes for WebGPU support and available memory before you commit to a download.
Browser-based tool designed to scan and analyze submitted text for observable Unicode artifacts and characteristic patterns commonly associated with Claude, ChatGPT, and other contemporary large language models. Systematically detects and identifies specific Unicode elements that may indicate AI-generated content, always accompanied by clear and comprehensive technical documentation that carefully explains the underlying detection methods and specific patterns. Explicitly recognizes and clearly documents the inherent limitations of text-only detection analysis, comprehensively detailing exactly what such evidence can and cannot definitively prove about AI generation or authorship. Serves as a useful educational resource for quick content screening, exploring and understanding AI detection techniques, and learning about Unicode artifact patterns, but users should clearly understand that detection results should never be treated as definitive proof of AI origin.
Edit existing photos or generate new images entirely by describing the desired result in plain language. Type your vision and the AI transforms it into visual output, whether modifying an existing photo or creating from scratch. No design experience, specialized skills, or prior training required to use this AI-powered editor. The streamlined browser interface operates without requiring account creation or login, allowing immediate access. The underlying AI engine interprets natural language descriptions to generate accurate visual results, whether making adjustments to existing images or creating completely new images from text descriptions. Useful for quick creative iteration, visual prototyping, and exploring AI image generation capabilities.
A free browser-based calculator designed to estimate the true cost of building and running an AI agent. It helps you understand the complete financial picture by breaking down costs across multiple dimensions: implementation scope, model usage, hosting infrastructure, monitoring systems, maintenance requirements, and human review processes. The calculator requires no signup and keeps all entered data local to your browser for privacy. By separating implementation costs from ongoing operational expenses, it provides clarity on both the initial build cost and first-year expenses, helping teams budget accurately for AI agent projects.
