From idea to running
in five stages
One platform for the whole journey. Trigger a workflow, build it visually, let AI do the hard parts, drop into code when you need to, and run it with full visibility. Scroll to see it.
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Start anywhere.
Webhooks, schedules, manual runs, or chained from another workflow. However the work shows up, Spojit catches it.
- Webhooks, no boilerplate
Each workflow gets its own signed URL. Spojit verifies signatures, parses the payload, and hands it to step one.
- Schedules that respect timezones
Cron, intervals, or specific times of day. Per-workspace timezone handling so 09:00 means 09:00 wherever you are.
- Chain runs together
Trigger one workflow from another. Pass state through, fan out, fan back in. Build pipelines, not silos.
Drag, prompt, or both.
Eight node types on a clean canvas. Drop them yourself, or describe what you want and Miraxa wires it up while you watch.
- Eight node types
Triggers, AI agents, branches, loops, parallel paths, transforms, human approval, and sub-workflows. Composes to anything.
- Branching and loops, visually
If/else, ForEach, While. Compound conditions, nesting up to ten deep, parallel branches that fan back in cleanly.
- Preview every step
Test mode runs the workflow with live data and shows you each step's input and output. Catch problems before production.
Agents that ship work.
Frontier models from Anthropic and Google. Drop an agent anywhere in a workflow. It plans, calls tools, observes, and adapts. Not a chatbot, a worker.
- Plan, act, observe
Multi-step reasoning that picks the right tool, runs it, reads the result, and decides what to do next.
- 50+ connectors with 500+ tools, agent-ready
Connectors for databases, e-commerce, messaging, shipping, and more. Agents call them like functions, no glue code.
- Knowledge base built in
Upload PDFs, sheets, and docs. Agents use semantic search to ground their work in your data at run time.
- postgres.query
- slack.send
- http.get
Drop in. Stay in flow.
Inline JavaScript or Python as a step. Full access to the previous step's output. Sandboxed execution, no infra to manage.
- JavaScript and Python
Run sandboxed code as a step. Manipulate payloads, call services, enforce custom rules exactly when the visual canvas isn't enough.
- Standard libraries included
Date handling, validation, encoding, regex, math, fetch. The boring stuff is already there.
- AI-assisted editing
Stuck on a regex? Ask the assistant to write the function. Refactor what's there. Inline error feedback as you type.
// Filter incoming orders by region
const targets = input.orders
.filter(o => o.region === 'NA')
.map(o => ({
id: o.id,
total: o.total,
})});
return { targets };Run with confidence.
Every run streams live. Retries are automatic. Failures don't lose state. Audit trail captures everything for the next time someone asks 'what happened?'.
- Watch every step, live
Pulsing nodes, flowing edges, status badges. See exactly what's running and what just finished, without refreshing.
- Retries are automatic
Transient failures get retried with exponential backoff. Rate limits handled. You don't write the recovery code.
- Durable execution
Server restart? Network blip? The workflow picks up exactly where it left off. No replay surprises, no lost state.
- doneNew order0ms · webhook received
- doneFilter12ms · 1 of 4 passed
- doneDraft email1.4s · Claude Sonnet 4.6
- retrySend via Resendretry 2/3 · 4s backoff
- queuedLog to Postgresqueued
Five stages.
One platform.
Start building. Your first AI workflow is ten minutes away.