Visual workflow editor
Drag blocks, connect them, done. What you see above are those very blocks.
DALLi connects AI models into visual workflows: generate, review, publish — every day, fully automatic.

The pictures are real, and so are the figures. Everything on this line comes from one real run, c1ba0978: the schedule, both character sheets and all three clips. Amounts marked actual are what that run was billed, in USD. Amounts marked ≈ are estimates, computed by the product's own estimator from the real price list, exactly as for a signed-in user. Each block shows one figure at a time: the actual replaces the estimate as soon as the run has been billed. Any block can hold until a person says yes — these two runs had none. The clips were rendered in 1080p and are shown here re-encoded at 720p, without their sound. The blocks are the product's own, so a few of their hover labels are still German. Your own runs are billed through your own provider accounts.
01 · The workflow comes together
A workflow you build once and then simply let run.
// How a day runs
You decide when it starts — every afternoon at 15:00, or whenever suits you.
A language model writes against a fixed output schema. No free text that fits nobody later.
The result lands on the block itself — and so does what it actually cost.
Before the expensive step, the run stops. You see what was made, and you approve it.
Publishing gets its own checkpoint — nothing goes public without a human yes.
The next afternoon the same line starts over.
// What is inside
Drag blocks, connect them, done. What you see above are those very blocks.
Several providers, one pipeline. You pick the model per block.
Every result stays findable — together with the run it came from.
Any block can be set to stop and ask — before it runs, after it runs, or both.
What a run cost is shown per block — not as a monthly lump sum.
YouTube — Instagram and TikTok to follow.
Or describe it in one sentence — the agent drafts the workflow, and you check it before you save it.
// Example scenario
EXAMPLE SCENARIO. To illustrate the flow — not measured values.
The schedule fires and the script is written against a fixed schema.
The picture is made, then the video is rendered.
You see the result and approve it.
// Accountable
Every run shows which block did what — and what it cost.
Every row is measured — the billed cost of run c1ba0978, whose files you saw above.
| Block | Model | Amount (USD) |
|---|---|---|
| Sheet Her | GPT‑Image‑1 | 0.1670 |
| Sheet Him | GPT‑Image‑1 | 0.1670 |
| Video V1 — Five More Minutes | Kling 3.0 Omni | 1.4000 |
| Video V2 — Deal | Kling 3.0 Omni | 1.4000 |
| Video V3 — The Kiss | Kling 3.0 Omni | 1.4000 |
// Questions
An editor where you connect AI blocks into a line, and an engine that runs that line on a schedule.
Yes. You supply your own provider keys; the cost runs through your accounts and appears per run in the record.
Yes — any block can be configured to hold the run and wait for a decision. You approve or reject; rejecting ends the run. Wiring it into the daily series is a goal of the beta.
The YouTube connection works. Automatic upload at the end of the line is a goal of the beta; today it is not end-to-end yet.
DALLi is in private beta. Write to [email protected] and we will get in touch — a form that signs you in immediately is deliberately not there yet.
DALLi is in private beta. We hand out access personally.
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