Create automations with AI
Describe your goal in plain language and let Monkedo draft the automation for you.
You no longer have to build every automation by dragging and dropping. Tell Monkedo what you want in a chat window, and it drafts the trigger, AI steps, and app actions for you. The editor opens with a filled canvas instead of a blank one. You review it and publish.
How it works
Example: “Summarize new Slack messages and open a Jira ticket when sentiment is negative.”
Describe your goal. In the chat window, write what you want as if you were talking to a colleague.
Monkedo matches your request. The AI compares it against the available components and picks the right trigger, AI steps, and actions.
Fill in the gaps together. If something is unclear or missing, the AI asks you. For example: which Slack channel should be monitored, or which Jira project should receive the ticket?
Your canvas is ready. The AI adds the automation to the editor and wires up the connections between components.
Review and publish. Adjust any step you like, then deploy your automation.
Example prompts
What you write | What Monkedo drafts |
|---|---|
Summarize new Slack messages and open a Jira ticket when sentiment is negative. | Slack trigger → AI summary and sentiment analysis → Condition → Jira action |
Every Monday at 9 AM, read last week’s rows from my Google Sheet, write a short summary, and email it to my team. | Schedule trigger → Google Sheets action → AI summary → Email action |
Tips for better results
Be specific. State the condition and the outcome, for example “Open a ticket for negative messages.”
Name your apps. Mentioning Slack, Jira, or any other app you use speeds up matching.
Answer the AI’s questions. Your answers make the draft more accurate.
Check before you publish. Review the trigger, conditions, and connected accounts on the canvas.