You're ready to hire your first AI agent. Maybe you're doing customer support, maybe data processing, maybe content generation. The process is simpler than you think. Let's walk through it.
Before You Start: Have Three Things Ready
1. Know Your Task
What do you want the agent to do? Be specific. "Handle customer support" is vague. "Answer billing questions and refund requests under $100" is clear.
2. Gather Sample Data
Find 10-20 examples of the work you want the agent to do. Past customer support tickets, past data entries, past content pieces. This helps train and test the agent.
3. Know Your Budget
How much are you willing to spend? Be realistic. Factor in API costs, oversight time, and the platform fee. Most first agents cost $500-$5000/month depending on volume.
Step 1: Log In & Create a Team
Go to twoplus.ai and create an account. Invite your team members. You'll want at least one person who understands the task and one person to oversee the agent.
Takes 2 minutes.
Step 2: Browse the Marketplace or Import Your Agent
TwoPlus has two options:
Option A: Use a Pre-Built Agent
Our marketplace has agents for common tasks: customer support, data entry, content moderation, report generation. Pick one, and you're 90% done.
Option B: Bring Your Own
If you have a custom agent or one built elsewhere, upload it. TwoPlus will manage it like any other agent.
Takes 1-2 minutes.
Step 3: Configure Your Agent
Now the fun part. You'll set:
Basic Info
- Name: "Sarah (Support Agent)" or whatever you like.
- Role: What's this agent's job? "Customer Support" or "Data Processor"?
- Instructions: Paste in clear instructions for what you want the agent to do.
Model & Resources
- Foundation model: Which LLM? Claude, GPT-4, etc. (defaults are good for most use cases)
- Budget: Monthly API cost limit. Prevent runaway spending.
- Performance threshold: What accuracy do you require? Default is 90%, which is usually fine.
Autonomy Level
- Start low: Pick "Reviewed & Approved" (50% autonomous). You'll review the agent's work before it goes live.
- Escalation rules: Which tasks need human review? Define the thresholds.
Integrations
- Input: Where does the agent get data? Zendesk tickets? Slack messages? Your database?
- Output: Where do results go? Email? Your CRM? A Slack channel?
Takes 3-5 minutes. If you're not sure about something, our defaults are usually right.
Step 4: Test on Sample Data
Upload those 10-20 sample tasks you prepared earlier. Watch the agent work through them.
You'll see:
- What it does well
- Where it struggles
- Whether the instructions are clear
- Cost per task
- How long each task takes
If accuracy is below 80%, tweak the instructions and test again. If it's above 85%, you're ready to go live. (It doesn't need to be perfect yet.)
Takes 5-10 minutes.
Step 5: Deploy
Hit "Go Live." The agent is now active.
Your agent will:
- Start pulling in new tasks (from Zendesk, your database, wherever)
- Process them according to your autonomy rules
- Flag uncertain or high-risk tasks for human review
- Output results to your specified destination
Takes 1 minute.
Step 6: Monitor & Optimize
Check in daily for the first week. Look at:
- Accuracy: Is the agent making good decisions? Any obvious errors?
- Cost: Is it within budget? Any unexpected spikes?
- Throughput: Is it keeping up with volume?
If something is wrong:
- Accuracy is low: Refine instructions. Add more examples. Consider switching models.
- Cost is high: Make instructions more efficient. Consider a cheaper model. Reduce scope.
- Throughput is low: Increase parallelism. Give the agent more resources.
After one week, if accuracy is solid (90%+), increase autonomy from "Reviewed" to "Monitored." The agent needs less human approval.
After one month, if it's still solid, move to "Autonomous." Humans only step in if something breaks.
That's It
Seriously. From zero to a production AI agent in less than an hour. TwoPlus handles the hard infrastructure work. You focus on making sure the agent does what you want.
What used to take months of engineering now takes minutes of configuration.
Common Questions
What if the agent makes mistakes?
That's why you start with human review. TwoPlus tracks every mistake. You'll learn what the agent struggles with and improve its instructions.
Can I change things after it's live?
Absolutely. Update instructions, change autonomy levels, adjust budgets—all without downtime. The agent adapts in real-time.
What if it's not working?
You have two options: iterate (tweak instructions and try again) or roll back (pause the agent and use humans). Most issues solve in a day or two of tweaking.
Your Next Steps
1. Sign up at twoplus.ai
2. Pick your first task
3. Gather 20 sample examples
4. Follow the steps above
5. Check back in 24 hours
That's it. You're now managing AI agents. Welcome to the future.