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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.

Sentiasa Percuma Mudah digunakan Keputusan segera Peribadi dan selamat

Gunakan AI Workflow Builder

Pembina Aliran Kerja AI

Reka aliran kerja AI berbilang langkah secara visual. Tambah langkah, pilih model daripada katalog langsung, bercabang dan gabungkan, kemudian eksport sebagai JSON atau Markdown. Hanya untuk pereka — ia tidak pernah menjalankan aliran kerja tersebut.

Diyagram aliran

Wakil visual aliran kerja. Klik nod untuk melompat ke penyuntingnya.
Tambah satu langkah untuk mula membina diagram.

Langkah-langkah aliran kerja

Atur semula dengan anak panah, duplikat, atau keluarkan. Cabangkan dengan cip langkah seterusnya.
Tiada langkah lagi. Klik Tambah langkah atau pilih templat.

Pembolehubah merentasi aliran kerja

Setiap penanda tempat {{variable}} dikesan. Sediakan nilai untuk larian pratonton.
Tiada pembolehubah dikesan. Gunakan {{name}} dalam mana-mana templat prompt.

Jalankan pratonton

Menyelesaikan setiap permintaan dengan nilai anda. Hanya pereka — tiada model dipanggil.
Petunjuk yang diselesaikan muncul di sini.

Eksport JSON

Baca Kandungan

Pelajari cara alat ini berfungsi dan bila hendak menggunakannya.

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

Soalan Lazim

Jawapan ringkas untuk soalan yang ditanya pengguna sebelum mempercayai keputusan.

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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