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AI Workflow Builder

Design a multi-step AI workflow visually. Each step has a name, a prompt template with {{variable}} placeholders, a target model, and a temperature. Branch steps into parallel arms, merge them back, reorder them, and export the workflow as versioned JSON or readable Markdown. This is a planner/designer - it does not execute the workflow.

Selalu Gratis Mudah digunakan Hasil seketika Pribadi dan aman

Gunakan AI Workflow Builder

Pembuat Alur Kerja AI

Rancang alur kerja AI bertahap secara visual. Tambahkan langkah, pilih model dari katalog langsung, buat percabangan dan gabungkan, lalu ekspor dalam format JSON atau Markdown. Hanya untuk perancang — alur kerja ini tidak pernah dijalankan.

Diagram alur

Representasi visual alur kerja. Klik sebuah simpul untuk membuka editornya.
Tambahkan langkah untuk mulai membuat diagram.

Langkah-langkah alur kerja

Atur ulang urutannya menggunakan panah, duplikat, atau hapus. Buat cabang menggunakan ikon langkah berikutnya.
Belum ada langkah. Klik "Tambahkan langkah" atau pilih templat.

Variabel di seluruh alur kerja

Setiap {{variabel}} penanda tempat telah terdeteksi. Masukkan nilai-nilai untuk proses pratinjau.
Tidak ada variabel yang terdeteksi. Gunakan {{name}} dalam templat prompt apa pun.

Uji coba awal

Menangani setiap prompt sesuai dengan nilai-nilai Anda. Khusus untuk desainer — tidak ada model yang dipanggil.
Prompt yang telah diselesaikan ditampilkan di sini.

Ekspor JSON

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How to Use This Tool

Build a workflow from step cards, watch the flow diagram redraw as you edit, and export the finished design. Everything runs in your browser; nothing is executed and nothing is sent to a server.

1. Add steps

Click Add step to create a new step. Give it a unique name, write the prompt template, and use {{variable}} placeholders for runtime inputs. Reorder steps with the arrows or drag them, duplicate a step, or remove it with the trash icon. Changes autosave to your browser storage.

2. Pick a model

Open the model picker to search the live models.dev catalog, grouped by provider. Featured chips give one-click access to popular models. Models that do not support temperature disable the slider automatically. If the catalog is unreachable, a small offline list is used instead.

3. Branch and merge

Use the Next steps picker on a step to route it to one or more following steps. Multiple successors create branches; steps with multiple incoming edges are merge points. The flow diagram draws arrows, branch arms, and merges automatically, and flags cycles.

4. Review with a preview run

Fill the Variables across workflow values once, then run the preview. Every step resolves its prompt with your values (including {{stepName.output}} references to earlier steps), and the linter reports unknown variables, unclosed braces, duplicate names, and cycles.

5. Export

Export the workflow as versioned JSON ({ version, exportedAt, title, steps }) and import it back later, or copy it as Markdown for pasting into a team doc. JSON import accepts either a bare array of steps or the wrapped object shape.

Features

  • Branching DAG with merge points, not just a linear chain
  • Live SVG flow diagram that redraws as you edit; click a node to jump to its editor
  • Live model catalog from models.dev with search, provider grouping, and featured chips
  • Per-step temperature slider (0-2) that disables for models with fixed sampling
  • Variables detected per step with {{name}} regex; step-output references via {{stepName.output}}
  • Preview run that resolves every prompt with your variable values and lints the workflow
  • Per-step and total token estimates
  • Versioned JSON export plus readable Markdown export
  • Startup templates (linear chain, classifier branch, summarizer chain)
  • Validation with inline errors and undo/redo
  • Autosave to localStorage under awb-workflow

Pertanyaan yang Sering Diajukan

Jawaban singkat atas pertanyaan-pertanyaan yang diajukan pengguna sebelum mempercayai hasilnya.

No. It is a planner and designer only. It never calls an LLM API or runs the steps. Export the JSON and execute it in your own pipeline.

No. Everything runs in your browser. The only network request is the models.dev catalog, fetched to build the model picker; your workflow is never uploaded.

From the public models.dev dataset (https://models.dev/models.json), cached in your browser for 24 hours. If it cannot be reached, a bundled offline list is used instead.

Any {{name}} in a prompt template is an input variable. You provide its value in the Variables panel for the preview. A {{stepName.output}} reference pulls the output of an earlier step, resolved by step name.

Import accepts either a bare array of step objects or the wrapped { version, exportedAt, title, steps } shape, as long as each step has at least a name and prompt.

In your browser localStorage under the key awb-workflow, saved automatically as you type. Clear your browser data or hit Clear to reset.

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