Knowing how to deploy an AI agent on Ampere.sh takes about five minutes once you understand the process. No server configuration, no Docker, no environment management. This step-by-step guide walks you through getting from zero to a running agent – whether your goal is automating research, managing Slack notifications, tracking leads, or anything in between.
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What You’ll Need
Before starting:
- An email address (that’s it for the free tier – no credit card during beta)
- A clear idea of what you want your agent to do
- (Optional) Access credentials for any integrations you want to connect – Slack workspace, GitHub account, Gmail, etc.
The free beta tier gives you $10 in AI credits and enough compute (2 vCPU, 2GB RAM) to build and run real agents for lightweight tasks.
Step-by-Step: Deploy Your First AI Agent on Ampere.sh
Step 1: Create Your Ampere.sh Account
Go to ampere.sh and click the signup button. During the current beta, account creation requires only an email address – no payment information.
After confirming your email, you land in the Ampere.sh dashboard. This is where all agent configuration and monitoring happens.
What you see at first login:
– Agent deployment panel
– Credit balance display
– Integration connection panel
– Running agents list (empty until you deploy)
Step 2: Plan Your Agent’s Task
Before clicking “deploy,” spend two minutes defining what you want the agent to do. Ampere.sh’s guided setup works best when you can describe the agent’s task clearly.
Good agent task descriptions:
– “Monitor specific job boards every morning, filter for roles matching these keywords, and send a Slack DM with the results”
– “Check this competitor’s website twice a day and alert me when their pricing page changes”
– “Read new emails in my Gmail matching this subject line and summarize them into a Notion page each day”
What to define before configuring:
1. The trigger (when does the agent run? Schedule? Webhook? Continuously?)
2. The inputs (what does it need to access?)
3. The outputs (what does it produce? Message, document, record?)
4. The tools it needs (web browsing, email, Slack, etc.)
Step 3: Create a New Agent
In the Ampere.sh dashboard, click “New Agent” or the equivalent deploy button. You’ll enter the agent configuration flow.
Configuration fields:
Agent name: A descriptive name you’ll use to identify it in the dashboard. “Daily job search” or “Competitor price monitor” – something that describes the task, not just “Agent 1.”
Task description: Natural language description of what the agent should do. Be specific about conditions, outputs, and frequency. The more concrete your description, the better the agent interprets edge cases.
Trigger type:
– Schedule (runs at set times – daily at 8am, every hour, etc.)
– Continuous (monitors and acts when conditions are met)
– Manual (runs when you trigger it from the dashboard)
Model routing preference: Ampere.sh’s smart routing handles this automatically for most users. If you have a specific preference (always use the most capable model, or optimize for cost), this is where you set it.
Step 4: Connect Integrations
This step is conditional – only required if your agent needs to access external services.
Available integrations:
– Slack (read channels, send messages, DMs)
– GitHub (read/write repos, create issues, comment on PRs)
– Gmail (read, send, label emails)
– Notion (read/write pages and databases)
– Stripe (read transaction data, customer info)
For each integration, Ampere.sh provides an OAuth flow or API key connection. You authorize access once; the agent uses it for every subsequent run.
Browser access: If your agent needs to browse the web or scrape sites, browser automation is built in – no separate configuration required. The agent can navigate pages, extract data, and interact with web interfaces as part of its task execution.
Step 5: Configure Memory
By default, Ampere.sh agents have persistent memory enabled – they retain information across sessions. You can configure what the agent should remember:
- Task memory: Results and findings from previous runs (useful for tracking changes over time)
- Context memory: Background information you provide that stays relevant (client names, project details, preference lists)
- Learning memory: Patterns and corrections the agent accumulates over time
For most initial deployments, leaving memory at default settings works well. You can refine memory configuration after seeing how the agent performs.
Step 6: Review and Deploy
Before deploying, Ampere.sh shows a summary of your configuration:
– Agent task description
– Trigger type and schedule
– Connected integrations
– Memory settings
– Estimated credit usage per run
Review this summary. The estimated credit usage helps you understand how quickly you’ll consume your monthly allocation and whether you need to upgrade your plan.
Click Deploy. The agent starts immediately if it’s a continuous or manual trigger, or schedules for the next run time if you set a schedule.
Total time to this point: 3-5 minutes for most configurations.
Monitoring Your Running Agent
After deployment, your agent appears in the dashboard with:
- Status: Active, paused, or error
- Last run: Timestamp of the most recent execution
- Next run: For scheduled agents, when it runs next
- Credit consumption: Credits used per run and cumulative for the month
- Run log: Full log of each execution including what the agent did, what it found, and what it output
Click any agent to see its full execution history. The log shows every step the agent took, which is useful for debugging if the agent isn’t behaving as expected.
Troubleshooting Common Issues
Agent Isn’t Finding What I Expected
Check the task description specificity. “Check for sales” is less useful than “Check for promotional banners or discount codes on the homepage and product pages.” More specific descriptions produce more targeted behavior.
Integration Not Working
Integration issues usually come down to permissions. In the integration settings, check that the OAuth authorization included the scopes your agent needs. For Gmail, an agent that needs to send mail needs “send” scope, not just “read.”
Credits Running Out Faster Than Expected
Review the run log to see which tasks consume the most credits. If the agent is running more frequently than needed, adjust the schedule. If individual runs are expensive, the task description may be triggering unnecessary model calls – simplifying the description sometimes helps.
Agent Produces Wrong Outputs
Add examples to the task description. “Summarize in 3 bullet points like this: [example]” produces more consistent output than “summarize.” Concrete output examples reduce variability.
After Your First Agent: What to Build Next
Once you have a working agent, the pattern repeats for additional use cases. Common follow-on agents after a first successful deployment:
Content monitoring: Watch competitor blogs, news sources, or forums for mentions of specific topics and deliver a daily digest.
Lead enrichment: Take a list of companies or contacts, research each one using web browsing, and populate a Notion database with structured information.
Communication summarization: Process a specific Gmail label or Slack channel and produce a daily summary of key information.
Price and inventory tracking: Monitor product pages for price changes, availability updates, or new variants.
Each additional agent follows the same configuration pattern. As you accumulate agents, the dashboard becomes a central view of everything that’s running and producing for you.
→ Deploy Your First Agent Free on Ampere.sh
Frequently Asked Questions
Do I need to know how to code to use Ampere.sh?
No. The configuration interface uses natural language task descriptions. Non-technical users can build useful agents without any programming knowledge.
Can I pause or stop an agent after deploying?
Yes. From the dashboard, you can pause, stop, or delete any running agent. Pausing preserves the configuration and memory; the agent resumes from where it was when unpaused.
What if I want to change the agent’s task after deployment?
Edit the task description from the agent’s configuration panel. Changes take effect on the next run.
How do I know when my agent ran?
The run log in the dashboard shows every execution with timestamp and full output. You can also configure notifications to receive a Slack or email message when the agent completes a run.
What happens to my agent if I downgrade my plan?
If the downgraded plan has less compute than the agent requires, Ampere.sh will notify you. Most agents run comfortably on the Pro tier (4 vCPU, 16GB RAM) even for complex tasks.
