● Systems for automated work — 001

Workflows you can see, draw, and trust.

Ask in plain words. An agent writes the pipeline, draws it on the canvas, and runs it — video, dubbing, faceswap, business automation. Drag to change anything; watch every run live.

1 0 1 0 1 0 1 0 1 1 0 1 0 1 0 I/O ENTRY TEXT → VIDEO minimax-h3 · z-image-turbo VOICE → DUB whisperx · kokoro BRIEF → WORKFLOW agent → pipeline.json DATA → REPORT summarize · chart · send
01 — Method

Three moves. That's the whole product.

A

Describe it

Type what you want — "dub this in Spanish", "swap his face and have him sniff the fish". The agent writes the pipeline and lays it out on the canvas.

B

Shape it

Drag steps around, swap models, test one node at a time. Every change is versioned — undo anything.

C

Let it run

On a schedule or on demand. Failures retry themselves; you see cost, duration, and output for every run.

02 — The agent

Say what you want.
The agent writes the pipeline.

Fig. 1 — request → pipeline.json → canvas
RequestAgent · wrote 6 steps in 0.8s

Change what he says — instead of “Why is the fish so expensive?” make it “Why does the fish smell so good?” Swap his face for Nadia from our character studio, then have him sniff the fish until his head explodes.

pipeline.jsonEditable
{
  "name": "fish-smells-good",
  "input": "clip_014.mp4",
  "steps": [
    { "id": 1, "op": "transcribe",
      "model": "whisperx",
      "find": "Why is the fish so expensive" },
    { "id": 2, "op": "revoice", "model": "f5-tts",
      "voice": "clone:speaker_1",
      "text": "Why does the fish smell so good" },
    { "id": 3, "op": "lipsync",
      "model": "latentsync", "audio": "$2.audio" },
    { "id": 4, "op": "faceswap",
      "model": "facefusion",
      "face": "studio://nadia" },
    { "id": 5, "op": "extend", "model": "wan-2.2",
      "prompt": "sniffs the fish, head explodes" },
    { "id": 6, "op": "export",
      "upscale": "real-esrgan", "fps": 60 }
  ]
}
● valid · schema v1 · 6 steps
CanvasAuto-laid out
01 Transcribe whisperx
Find "Why is the fish so expensive?"
02 Revoice f5-tts · cloned voice
"Why does the fish smell so good?"
03 Lipsync latentsync
Match his mouth to the new line
04 Faceswap facefusion + codeformer
Face → Nadia (character studio)
05 Extend wan 2.2 i2v · 6s
Sniffs the fish, head explodes
06 Export real-esrgan + rife
4K · 60 fps
6 steps · est. 4m 10s · ≈ $0.38

The same power is one API call: POST /v1/pipelines/design turns a plain-language request into a valid pipeline your systems (or agents) can run — see the pipelines guide.

03 — The canvas

One pipeline, drawn in plan view.

Fig. 2 — "launch film, three languages" workflow
Trigger●
Brief uploaded
Scriptrun▌
qwen3.8 · shot list
Stillsque
z-image-turbo · ×6
Voiceque
kokoro · EN ES JP
Scoreque
acestep · 30s bed
Videoque
minimax-h3 · i2v
Publishwait
All channels
+ Drop node
● Run #214 — script in progress
7 steps · est. 5m 40s · ≈ $0.62 · 100% zoom
Every model shown is live today.
04 — Capabilities

Media, workflows, agents.

Production-grade media pipelines plus general business automation, all as canvas nodes. Full model catalog →

Text & image to video minimax-h3
Image generation & edit z-image · qwen-image
Speech & cloned voice kokoro · qwen3-asr
Transcribe & diarize whisperx · pyannote
Segment & track sam 2
Music & soundbeds acestep
05 — Observability

Nothing runs in the dark.

Step-level traces, auto-retries, and a replay button when something needs you.

98.4%
success, last 30 days
2m41s
avg run duration
$0.12
avg cost per run
06 — Begin

Draw your first workflow
in the next five minutes.

Start free →
Trial credit included. No card.