AI can what?

PURPOSE, EVIDENCE & CHOICE

Choose resources for your goal

Start with your use case, then distinguish software examples, interactive environments, static data and generation benchmarks.

These guides explain which questions different resources answer, how to compare them and what to check before using them. They are routes through the catalog, not rankings or certification of complete runtime behavior.

Find AI-built software

Find games, websites and native apps with first-party AI-development statements, then distinguish code, demos and limited interaction evidence.

Test a browser agent

Compare browser-agent resources by interaction setting, scoring and setup: self-hosted sites, live-web evaluation, recorded trajectories and shared frameworks.

Test computer & phone use

Choose desktop VMs, Android/iOS research apps or static GUI datasets while keeping target OS, host requirements, scoring and access limits separate.

Evaluate software generation

Compare webpage reconstruction and game-development benchmarks by supplied inputs, generated artifact, tested behavior and released evaluation materials.

Test coding agents

Compare repository repair, application development, terminal tasks and generated training environments by what the agent changes and how outcomes are checked.

Test data workflows

Compare data engineering, code-executing analysis and ML experiment resources while separating final-answer checks from workflow and environment validation.