How it works

From idea to automation in minutes

Describe the process in plain language. Neudash documents the intended workflow, writes the code, connects the required systems, and runs it in a managed environment.

Neudash flow showing a prompt becoming a documented automation.

A prompt becomes a documented, running workflow.

Neudash records what the workflow should do, then uses that record when it builds, updates, or repairs it.

That is the difference between a one-off answer and an automation that can keep running when the environment around it changes.

At a glance

What this product is for

Neudash turns a plain-language request into a running business workflow by documenting the intended process, generating the code, connecting the required systems, and running the workflow in a managed environment. When APIs, tokens, or data formats change, Neudash can use that documentation to repair routine failures and restore the workflow to the intended behavior.

Best for

Teams that can describe the rules, exceptions, and systems involved in the process they want automated.

Why teams switch

Neudash documents the intended process, generates the code, connects the required tools, and repairs routine failures against that documented source of truth.

Features

What happens from request to production.

The flow starts with the business rule, turns into documented code, and keeps enough context to recover when dependencies shift.

Describe the process

Explain the business rule in plain language instead of wiring up nodes by hand.

Neudash documents and builds it

The documented workflow becomes the source of truth for build, updates, and repair.

The workflow runs and can recover

It runs automatically, and routine failures can be repaired against the documented intent.

Plain English stays useful after launch

The workflow still starts from the business rule, even when the logic grows more specific over time.

Runs 24/7

Processes run on schedules, events, or on demand without needing a separate operator to babysit them.

Self-healing

When tokens expire or APIs change, Neudash uses the process documentation to repair the workflow.

Reviewable change history

See what the workflow did, what changed, and why the fix was applied.

Source of truth

The workflow starts with documentation.

When the process changes, the documentation updates first and the code follows.

When a routine failure happens, Neudash compares the error to the documented behavior and rewrites the workflow against that intended path.

Neudash interface showing the documented workflow and generated process steps.

Security

Connects to your systems, then runs in a managed environment.

Use built-in connections where Neudash provides them. For everything else, workflows can call REST APIs, receive webhooks, or use your own OAuth credentials while keeping execution isolated and reviewable.

Built-ins where Neudash already has them

Built-ins include Gmail, Google Sheets, Google Drive, Google Calendar, and Outlook.

REST APIs and webhooks for the rest

Workflows can call REST APIs, receive webhooks, and reach tools that sit outside a fixed connector marketplace.

Bring your own OAuth credentials

Use scoped app credentials for providers beyond the built-in list while keeping secrets outside process code.

Secure by default

Isolated execution

Processes run in isolated sandboxes in a managed environment.

Credentials stay encrypted

Credentials stay encrypted outside process code and surface only when the workflow needs them.

History stays reviewable

Run history shows what happened, when it ran, and whether it succeeded.

FAQ

How does Neudash turn a prompt into a running workflow?

You describe the business process in plain language. Neudash writes documentation that captures the intended outcome, generates the workflow code, connects the required tools, and deploys the workflow so it can run on schedules, triggers, or events.

Does AI run every step of the workflow?

No. Neudash uses AI to design, document, and repair the process. The resulting workflow runs as code, and AI inside the workflow is used only where the task benefits from reasoning, extraction, classification, or drafting.

What happens when an API, token, or data format changes?

When a run fails because a token expired, a schema changed, or a response format shifted, Neudash rereads the process documentation, updates the code, and reruns checks so the workflow can return to the intended behavior.

What systems can a Neudash workflow connect to?

Public built-ins include Gmail, Google Sheets, Google Drive, Google Calendar, and Outlook. Beyond that, teams commonly connect tools like Mailchimp, Facebook Lead Ads, Microsoft Teams, Zoom, Ringover, Airtable, Notion, Asana, Dropbox, Calendly, and Typeform over APIs, webhooks, and scoped app credentials, so workflows are not limited to a fixed connector marketplace.

If you want to see the model in action, describe one real process.