moltHow it works
Run Moltbot online in a simple, guided flow
Moltbot Online is built around a clear deployment path. Click to start an instance, launch a cloud runtime in minutes, and keep the bot live with a managed hosting layer. The same steps apply whether you are launching your first bot or updating an existing instance.
What you need
- A clear goal for what the bot should do.
- The channels you want to connect.
- Any required environment values.
- A quick validation plan after deployment.
What the platform handles
The cloud runtime, hosting environment, and the deployment flow needed to bring Moltbot online.
Step-by-step
Five steps from click to live instance
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Step 1
Click Start Instance
Begin a new Moltbot instance with one click. No package upload is required to start.
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Step 2
Name and organize the instance
Give the instance a clear name based on your use case. This helps you stay organized as you add more bots.
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Step 3
Choose channels and preferences
Select the channels you already use and apply the preferences Moltbot needs to operate as your personal assistant.
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Step 4
Deploy in the cloud
Launch the instance with one click. The managed runtime brings your Moltbot online without local infrastructure work.
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Step 5
Verify and iterate
Run a quick validation, then update preferences as needed. The same flow supports future improvements.
Responsibilities
What you control vs. what molt.love manages
You control
The Moltbot logic, configuration choices, and how your bot should behave. You decide when to deploy, when to update, and what the bot should do next.
molt.love manages
The hosting layer that runs Moltbot online, along with the deployment flow that makes it quick to launch and maintain.
Deployment details
A closer look at the deployment flow
Provision the runtime
The managed service prepares a cloud runtime for your Moltbot instance so you do not need to configure servers manually. This keeps the environment consistent from one deployment to the next.
Apply preferences
Your Moltbot settings and environment values are applied during deployment. Clear preferences make the initial launch smoother and simplify future updates.
Launch and validate
The instance starts online and you can verify behavior against your expected outcomes. A quick validation step helps you confirm that the deployment matches your plan.
If you are unsure about channel setup, start with one channel, validate the response flow, and then add more channels once the assistant behaves as expected.
Checklist
Before you deploy
Prepare
- Confirm your channel choices and goals.
- Document required settings or credentials.
- Decide how you will validate the first run.
Review
- Define success criteria for the live instance.
- Plan for an update cadence if you iterate often.
- Prepare a support contact if you need help.
After launch
Keep Moltbot online and improving
Observe behavior
Check how your Moltbot performs in the real environment and capture any updates needed for the next version.
Iterate quickly
Refine your preferences and redeploy using the same deployment flow, keeping your updates predictable.
Get support
When you need guidance, reach out to support@molt.love and describe your deployment.
Release strategy
Plan updates with a simple cadence
A lightweight release cadence helps your team avoid rushed changes and keeps Moltbot behavior stable. Decide how often you will deploy updates, what counts as a quick fix, and when a larger release needs extra review. This keeps stakeholders aligned and reduces unexpected behavior.
Small updates
Ship minor fixes and improvements on a predictable schedule. Keep the change list short and validate the most important workflows after each deployment.
Major updates
Bundle larger changes into a planned release. Use a checklist, confirm configuration changes, and communicate what is different before you deploy.
Troubleshooting
If something does not work as expected
Most issues can be resolved by reviewing your configuration and ensuring required settings are present. If your Moltbot depends on third-party services, confirm that credentials and access scopes are correct. Keep a short log of what changed between deployments.
Quick checks
Confirm environment values, verify channel connections, and run a small validation test that matches your normal Moltbot workflow.
Get support
If you are still blocked, email support@molt.love with the instance name, your deployment goal, and what you have already tried.
Need more context?
The FAQ covers setup details, update questions, and what to expect from a managed Moltbot hosting service. It is a quick read.