AI Workflows for Researchers
Turn a stack of papers into structured findings. Fetch sources, summarize with an agent, and extract structured data — a pipeline you can inspect, rerun, and share.
- Fetch and summarize papers in one reproducible graph
- Structured extraction into tables you can query
- Local models for private data, cloud for scale — your call
One canvas
for the whole craft
Image, video, audio, and text on a single visual canvas, with the editing tools you already rely on sitting right next to the models. You direct the whole piece instead of generating parts of it.
Edit where you generate
Mask, retouch, extend, relight, upscale, layer, and composite. The editing tools you reach for live on the same canvas as the models.
Watch every step render
Results appear as each step finishes. Inspect any frame, swap a model, and re-run from that point on.
Your keys, provider prices
Bring your own keys for FAL, KIE, OpenAI, Anthropic, Gemini, Replicate, and the rest. The bill comes from the provider, not from us.
Image, video, audio, text
Flux, Seedance, Wan, ControlNet, Whisper, ElevenLabs, and Suno, all on one canvas under their real names. You always know which model you are running.
Frequently asked questions
Can I keep sensitive data private?
Yes. Run the summarization and extraction on local models so nothing leaves your machine, and add cloud providers only where you want them.
Is the pipeline reproducible?
The whole workflow is an explicit graph you can save, version, and rerun — every step is visible, not hidden behind a prompt.
Can it handle many papers at once?
The list and batch nodes fan out over as many sources as you feed in, running each through the same summarize-and-extract chain.
Build it on your own machine
Free, open source, and yours to run. Download Studio, open the template, and make it yours with your own keys.