Explore 17 AI experiences from one visual hub.
Test chat, image, video, and document AI across nine model ecosystems, then compare, evaluate, and score compatible models before you write integration code.
Use provider-aware controls, reusable profiles, complete session archives, cost estimates, and a multi-model benchmark with per-participant evaluation and scoring in one workspace.
Move from a first prompt to a repeatable, scored comparison.
Benchmark, evaluate, and score models
Send one prompt to two or three compatible playgrounds, including different models from the same family, inspect the results side by side, and optionally give each participant a verdict, score, and detailed explanation.
Save profiles or full sessions
Reuse settings as JSON profiles, optionally with machine-encrypted credentials, or archive non-secret settings, outputs, and generated media in a restorable ZIP session.
Measure every run
Track elapsed time, estimated Foundry cost when available, generated character counts, and returned usage or reasoning metadata.
Use provider-native features
Explore reasoning, verbosity, prompt caching, web search, WebIQ, X MCP, file and image inputs, generation controls, and OCR where supported.
Choose a focused playground or compare and score models across the same task.
Every playground exposes the controls and outputs that matter for its provider and modality.
Stream responses, inspect reasoning and usage, attach images, and try provider-specific grounding tools.
Generate and iterate with provider-specific size, quality, fidelity, safety, format, and image-input controls.
Create, edit, extend, or steer video and synchronized audio with text, image, keyframe, reference, and video inputs.
Run Mistral OCR or Cohere Vision Parse and inspect rendered Markdown, structured blocks, raw JSON, and page-level results.
Load two or three supported playgrounds, reuse one prompt, compare their outputs in parallel, and optionally evaluate and score each participant.
Explore nine model ecosystems without losing your workflow.
Azure OpenAI and Direct from Azure or Foundry-compatible experiences keep provider-specific endpoint patterns, model controls, and output details visible while preserving a familiar playground workflow.
Explore, measure, and carry the useful work forward.
Choose an experience
Start with conversation, image generation, video creation, document understanding, or the multi-model benchmark.
Configure and run
Tune provider-specific settings, prompts, tools, inputs, and optional files while watching timing, cost, and metadata.
Compare, score, and continue
Benchmark compatible models, optionally evaluate each participant with a verdict, score, and detailed explanation, then save a reusable profile or complete session without persisting secure settings.