Introducing Automation Workflows: Build Backend Logic Without Code

Beyond Frontend: Automating Backend Logic

GenMB has always excelled at generating beautiful, functional frontends from natural language. But modern apps need more than a pretty interface — they need backend logic that responds to events, processes data, and connects services together.

Today, we are launching Automation Workflows — a visual builder that lets you create backend logic without writing a single line of server-side code.

What Are Automation Workflows?

Automation Workflows give you a drag-and-drop canvas where you connect nodes to build backend processes. Each node performs a specific action — making an API call, sending an email, running conditional logic, or processing data with AI. Connect them together, and you have a fully functional backend workflow that runs on GenMB's managed infrastructure.

Think of it like a flowchart that actually executes. You design the logic visually, and GenMB handles the servers, scaling, and reliability.

Node Types and Capabilities

Workflows support six core node types, each designed for a specific category of backend work:

HTTP Node

Make API calls to any external service. Configure method (GET, POST, PUT, DELETE), headers, body, and authentication. Use data from previous nodes with template variables. Perfect for integrating third-party APIs, fetching data, or triggering external actions.

Email Node

Send transactional emails with dynamic content. Supports HTML templates, attachments, and variable interpolation from previous nodes. Use it for notifications, confirmations, alerts, or reports.

Conditional Node

Route workflow execution based on data values. Define conditions using comparisons (equals, contains, greater than, regex match) and branch your workflow into different paths. Essential for decision-making logic like "if order total > $100, apply discount."

Delay Node

Pause execution for a specified duration. Useful for rate limiting, waiting for external processes, or building drip sequences. Configure delays from seconds to days.

AI Node

Process data through a language model. Classify text, extract entities, summarize content, generate responses, or make decisions. The AI node receives data from previous nodes and outputs structured results. This is what makes GenMB workflows uniquely powerful — AI-native automation.

Data Transform Node

Reshape, filter, and map data between nodes. Extract fields, merge objects, convert formats, and prepare data for the next step. Handles the glue logic that connects different APIs and services.

Triggers: Webhooks and Schedules

Every workflow needs a trigger — the event that starts execution:

Webhook Triggers

Each workflow gets a unique URL. When an external service sends data to that URL, the workflow executes with the incoming payload. Use webhooks to receive form submissions, payment notifications, GitHub events, or any HTTP callback.

Example: A Stripe webhook fires when a customer completes payment. Your workflow receives the event, sends a confirmation email, updates your database, and notifies your team on Slack.

Scheduled Triggers

Run workflows on a recurring schedule using cron-like syntax. Daily reports, hourly data syncs, weekly cleanups — schedule anything that needs to run periodically.

Example: Every morning at 8 AM, your workflow fetches yesterday's sales data, generates an AI summary, and emails it to your team.

Building Your First Workflow

Here is a practical walkthrough to get started:

1. Create a new workflow from the Workflows tab in your app
2. Add a Webhook trigger — this gives you a unique URL
3. Add an AI node — configure it to classify incoming form submissions as "support", "sales", or "feedback"
4. Add a Conditional node — branch based on the AI classification
5. Add Email nodes on each branch — route support requests to your support team and sales inquiries to your sales team
6. Activate the workflow — it is now live and waiting for data

Point your contact form to the webhook URL, and every submission is automatically classified and routed.

Execution History and Debugging

Every workflow execution is logged with full detail:

• Input data — what triggered the workflow
• Node-by-node outputs — what each step produced
• Timing — how long each node took
• Errors — exactly where and why a failure occurred
• Status — success, failure, or partial completion

Click any execution to inspect the full trace. See exactly what data flowed through each node, making debugging straightforward. No more guessing why a backend process failed.

Real-World Workflow Examples

Form Processing Pipeline

Webhook receives submission → AI extracts key information → Conditional checks for spam → Email sends confirmation to user → HTTP posts to CRM.

Scheduled Report Generator

Scheduled trigger (daily 9 AM) → HTTP fetches analytics data → AI generates natural language summary → Data Transform formats email → Email sends to stakeholders.

AI Customer Support Routing

Webhook receives support ticket → AI classifies urgency and category → Conditional routes by priority → Email notifies appropriate team → HTTP creates ticket in tracking system.

Data Synchronization

Scheduled trigger (hourly) → HTTP fetches new records from source → Data Transform maps fields → HTTP posts to destination → Email alerts on failures.

Getting Started

Automation Workflows are available now for all GenMB users. Open any app, navigate to the Workflows tab, and create your first workflow. Start with a simple webhook-to-email flow to see how it works, then build up to more complex multi-node pipelines.

The visual builder makes it easy to experiment. Drag nodes, connect them, test with sample data, and iterate until your workflow does exactly what you need.

No servers. No DevOps. Just backend logic, built visually.