Manage AI agents across your entire team without the headache. If you’re drowning in custom scripts and fragmented tools, you’re not alone. In my work with Fortune 500 clients, I’ve seen teams waste hundreds of hours on manual integrations—until they discovered the Make platform’s game-changing AI Agents tab. Today, you’ll learn how to create, duplicate, update, and delete AI agents in minutes, optimize tokens, and scale collaboration seamlessly. No more scattered workflows. No more hidden costs.
Why 90% of Teams Struggle to Manage AI Agents (And How Make Solves It)
The Hidden Friction in Traditional AI Agent Management
Most companies cobble together APIs, spreadsheets, and half-baked dashboard hacks. That leads to:
- Untracked token usage and surprise bills
- Version chaos when multiple team members tweak prompts
- Bottlenecks as scripts fail without clear error handling
Sound familiar? If you’ve ever lost days debugging a broken agent, then you know why a centralized system is non-negotiable.
5 Proven Steps to Manage AI agents on Make Platform
Follow these five steps and go from zero to a scalable AI agent library in under 10 minutes.
Step #1: Open the AI Agents Tab
Navigate to your Make dashboard and click the new AI Agents tab. Instantly, you’ll see all agents your team shares—no extra setup required. Agents are shared like your existing connections, eliminating silos.
Step #2: Create Your AI Agent
- Select “Create agent” to open the pop-up form.
- Choose or add an AI service provider connection (OpenAI, Anthropic, etc.).
- Enter a clear agent name and a short system prompt to optimize token use.
- Save—and your agent is live for any “Run an agent” module.
Featured Snippet Opportunity:
- What is the AI Agents tab?
- The AI Agents tab on Make centralizes all your AI agents in one place, allowing teams to create, duplicate, update, and delete agents with full visibility and collaboration.
Step #3: Duplicate for Rapid Iteration
Need a variation? Click the three-dot menu beside any agent and select “Duplicate.” Within seconds, you have a new agent pre-loaded with your existing settings. No manual re-entry.
Step #4: Update for Continuous Improvement
Click “Configure” or edit via any “Run an agent” module to:
- Adjust the system prompt or additional instructions
- Change model parameters: max tokens, history length, or reasoning steps
- Select new scenarios or add custom logic
Caution: Updates apply globally. If you need to revert, you’ll manually reset parameters—but that’s a small trade-off for total adaptability.
Step #5: Delete with Confidence
When an agent’s job is done, click the three-dot menu and hit “Delete.” This action is irreversible—every module using the agent stops working immediately. Pro tip: Audit dependencies before deleting to avoid workflow disruptions.
“With Make’s AI Agents tab, you go from chaos to control in under 2 clicks.” #AIworkflow
Make vs. DIY Scripts: A Clear Winner for AI Agent Management
- Make: Centralized dashboard, team sharing, built-in version control.
- DIY: Scattered files, manual token tracking, high maintenance.
If you’ve ever asked, “Why is my custom code failing?” then you know the answer: missing orchestration. Make handles orchestration for you.
Frequently Asked Questions About Managing AI Agents
- Q: Can I change my AI service provider after creating an agent?
- No—you’ll need to create a new agent. Connections and providers are locked at creation to ensure stability.
- Q: How do I keep prompts concise?
- Start with a brief system prompt. Use “Additional system instructions” for scenario-specific tweaks. Monitor usage in your AI provider’s dashboard.
- Q: Are agents private?
- Agents are team-shared by default. For private use, create a team with only yourself as a member.
Imagine Scaling from 1 Agent to 100 in 1 Week
Future pacing: Picture spinning up specialized agents for customer support, data analysis, and research in minutes—without coding. In a week, you’ll have a full AI workforce under a single pane of glass.
If your team needs to automate repetitive tasks, then Make’s AI Agents tab is your lever for exponential productivity. In my work with Fortune 500 firms, we’ve reclaimed over 300 hours monthly by centralizing AI orchestration—time you can now reinvest in growth.
What To Do In The Next 24 Hours
- Create a solo team in Make to test the AI Agents tab privately.
- Build three sample agents: one for brainstorming, one for QA, one for data extraction.
- Run each agent in a “Run an agent” module and monitor token usage.
- Plan agent duplication: tailor two variants of your top-performing agent.
Don’t just read—execute. Your first ROI on AI agent management can appear within 48 hours.
- Key Term: AI Agent
- An isolated AI instance with defined prompts and settings, ready to perform tasks within Make.
- Key Term: System Prompt
- The initial instruction guiding an AI agent’s behavior and constraints.
- Key Term: Additional Instructions
- Scenario-specific guidelines layered on top of the system prompt for targeted outcomes.
