Describe what you want to automate in plain English. Dugong hands your instructions to an AI agent — it reads them, reasons through each step, and calls your apps directly. No builder. No blocks. No code.
Traditional automation tools make you draw a diagram. Dugong just reads what you write and does the work.
Write your trigger and steps the way you'd explain it to a colleague. Say "if the deal is over $10k, notify the CSM." Name any app. No special syntax — just plain language.
Your description is passed to an AI agent. It understands the intent, decides what to do at each step, handles conditions, and figures out what to pass between apps — live, at runtime.
The agent executes each step by making direct tool calls to Slack, Gmail, Salesforce, Notion, and more — in the right order, with the right data — no human involved.
A real workflow — written in plain English on the left, executed by the AI agent on the right.
Every team has repetitive processes that eat hours every week. Just write them down.
The moment a form lands, the agent enriches the contact, scores the lead, routes it to the right rep, and creates the Salesforce deal — all before your rep has opened their laptop.
Try this workflow →Dugong isn't a visual builder with an "AI" button bolted on. The AI is the engine — it reads, reasons, and acts.
Your description is the workflow. No canvas, no blocks, no config panels. The agent reads what you wrote and figures out the rest.
Write "if the deal is over $10k" or "unless they've already been contacted" — the agent understands the condition and branches accordingly, every run.
If a tool call fails, the agent doesn't just crash — it retries, tries an alternative approach, or flags the issue with full context. No silent breakages.
Mention Gmail, Slack, Salesforce, or Notion — the agent knows how to call them. No manual API setup. No OAuth headaches. Just name it.
Each step isn't isolated. The agent carries context from what it learned in previous steps — so it can personalise, adapt, and make sensible decisions throughout.
Every tool call, every decision, every piece of data — logged in plain language so you always know exactly what the agent did and why.
The difference isn't features — it's whether you're configuring a tool or just telling it what to do.
| Capability | Traditional automation tools | Dugong |
|---|---|---|
| Creating a workflow | Drag blocks, wire connections, configure each one | Write it in plain English — the agent handles the rest |
| Conditional logic | Add filter nodes, set field rules manually | Write "if" — the agent reasons and branches live |
| Connecting apps | OAuth per app, manual field mapping per step | Mention the app name — already wired |
| When something breaks | Silent fail — you find out from a user complaint | Agent retries, adapts, and explains what happened |
| Handling edge cases | You have to anticipate and build every path upfront | Agent reasons through unexpected situations on the fly |
| Time to first workflow | 30–90 minutes of setup and testing | Under 5 minutes — just write it and run it |
Just write the app name in your steps. The agent handles auth, API calls, and data mapping automatically.
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Join 4,000+ teams who shipped their first automation in under five minutes — just by writing it down.
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