WORKFLOW AUTOMATION

Automate any process, from trigger to result

Build automations on a visual canvas that wires triggers, logic, and actions into one reliable flow. Start on a webhook, a schedule, a database change, or an incoming email — then branch, loop, call APIs, run code, and let AI decide, with retries and error handling on every step.

Visual node canvasSix trigger typesRetries and error paths built in
Order workflow
orders-sync Saved
Run
+ Add Block ⌘K
startTrigger
GET · webhook
resourceQuery
products · REST
airunning
chat · claude
response
200 · OK
RunsBlocksConsole Success · 3.5s
startTrigger0.4s
resourceQuery1.2s
airunning…
responsequeued
6
Trigger types, from webhook to Firebase
15+
AI providers, with your own key
2
Code runtimes: JavaScript and Python

How it works

From idea to shipped, in three steps

01

Pick a trigger

Start a flow from a webhook, a cron schedule, a row inserted, updated, or deleted, a new Gmail message, a GitHub push or PR, or a Firebase record change — each with filters so you only fire on what matters.

02

Wire the logic

Drag nodes onto the canvas and connect them. Branch on conditions, loop over arrays in sequence or parallel, wait, pause for human approval, transform and validate data, then call APIs, send messages, run queries, or run your own code.

03

Test, then ship

Run the flow live with a streaming log that shows every step as it executes. When it behaves, turn on the trigger — then watch run history and the analytics dashboard across your whole workspace.

01

Triggers that start on real events

Every flow begins with a trigger, and each one is built to fire precisely on the systems you already run.

Webhook: generated endpoint URL, API-key security, optional public access, and respond-early so callers get an answer immediately

Schedule: cron with plain-language presets and timezone-aware timing

Data change: fire on rows inserted, updated, or deleted, narrowed by a filter

Gmail, GitHub, and Firebase: new email with rich filters, signed push and PR events, or record changes

02

Control flow for real-world logic

Processes are rarely a straight line, so the canvas gives you real control flow, and any flow can be packaged as a reusable sub-workflow.

Branch and parallel execution to fan out and rejoin work

Loop over arrays sequentially, in parallel, or in tuned batches

Wait and human approval steps to gate sensitive actions

Reusable sub-workflows so common logic is built once and shared

03

Actions, data, and AI in one flow

Between trigger and result, do the actual work — shape data, take action, and add AI, all with reliability controls on every step.

Data and logic: transform, filter, aggregate, merge/split arrays, JSON parse and validate, variables, key-value storage

Actions: run code in JavaScript or Python, HTTP request to any API, send email or SMS, manage files, return a response, run a saved query

AI block: chat, structured JSON, embeddings, and image generation with your own OpenAI, Anthropic, or other provider key

Reliability: per-step retries with backoff, per-step and per-run timeouts, and error handling that exits or continues down an error path

Capabilities

Everything in workflow automation

Generated webhook endpoints

Every webhook trigger gets a unique URL secured by an API key, optionally public, with respond-early to answer callers first.

Cron scheduling with timezones

Schedule flows with cron, human-readable presets, and full timezone control so recurring jobs run exactly when you expect.

Branch, loop, and parallel

Model real logic with conditional branches, sequential, parallel, or batched loops, waits, and human approval gates.

Run JavaScript or Python

Drop into code when a node is not enough — execute JavaScript or Python inline with full access to your run's data.

AI across 15+ providers

Add chat, structured JSON, embeddings, or image generation using your own key across more than 15 providers.

Retries, timeouts, error paths

Reliability is built in: per-step retries with backoff, per-step and per-run timeouts, and recovery paths.

Use cases

What teams build

Data-change pipelines

Fire on a row inserted or updated, transform and validate it, then sync the result to an API or notify a channel automatically.

Inbound request handling

Expose a secured webhook, respond early, then branch on the payload to run queries, call services, and return a result.

Scheduled reports and jobs

Run a cron flow on a timezone-aware schedule that pulls data with a saved query, formats it with AI, and emails the summary.

Wire your first automation today

Start from a template or a blank canvas, connect the systems you already use, and test every step with a live log.