Setting up AI agents
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Getting Started with AI Reply Agents in Instantly
Cold email campaigns at scale create a familiar challenge. Leads come in, responses accumulate, and suddenly inbox management consumes hours of every day. The constant cycle of checking messages, crafting replies, and following up with prospects becomes the bottleneck that limits growth. Every missed reply represents a potentially missed deal.
AI reply agents solve this problem by handling the heavy lifting of conversation management. Rather than manually responding to every inquiry, objection, and expression of interest, you train an agent to handle these interactions automatically. The result is consistent, timely responses that keep conversations moving while freeing your attention for higher-value activities.
The Inbox Time Trap
Consider how much time you currently spend jumping between tools, inboxes, and reminder systems. Each message requires reading, processing, crafting a response, and often setting a reminder for follow-up. Multiply this by dozens or hundreds of daily responses and the burden becomes obvious.
This manual approach also introduces inconsistency. Rushed responses may miss important points. Delayed replies may lose momentum. Some messages inevitably fall through the cracks entirely. Human capacity simply cannot match the pace of scaled cold outreach.
Reply agents address every dimension of this challenge. They respond faster than any human could, often within minutes of receiving a reply. They maintain consistent quality regardless of volume. They never forget to follow up or miss a response buried in a crowded inbox.
How Reply Agents Work
An AI reply agent monitors your campaign responses and handles them according to rules you establish. When a prospect replies, the agent reads the message, determines the appropriate response category, and either responds automatically or queues a suggested response for your review.
The agent can handle various response types. Interested prospects receive next steps and scheduling options. Objections get addressed with relevant rebuttals. Questions trigger appropriate answers. Negative responses receive polite closures. Each interaction type follows guidance you provide during setup.
Beyond response generation, reply agents update lead stages and CRM status as conversations progress. This automation ensures your systems always reflect current reality without requiring manual data entry.
Two Operating Modes
Instantly offers two primary modes for reply agents, each suited to different comfort levels and use cases.
Human in the loop mode provides AI assistance while maintaining human oversight. The agent drafts smart, personalized replies based on incoming messages, but you review and approve each response before it sends. This mode works well when you are first testing AI responses or when conversations require nuanced handling that you prefer to verify.
Autopilot mode removes the review step, letting the agent respond independently. It handles everything from initial responses to follow-ups to CRM updates without requiring your intervention. This mode maximizes efficiency and works well once you have trained the agent thoroughly and trust its judgment.
Most teams start with human in the loop to build confidence, then transition to autopilot as they verify the agent performs as expected.
Basic Configuration Settings
Setting up your first reply agent involves several configuration decisions. The interface guides you through each step, but understanding the options helps you make informed choices.
Follow-up handling determines whether the agent manages ongoing conversation threads or focuses only on initial responses. Enabling follow-ups typically makes sense for most campaigns.
Automatic email handling addresses responses like out-of-office messages. Disabling this setting is common practice since responding to auto-replies rarely advances conversations. However, some teams enable it when running low-volume campaigns where the additional activity benefits deliverability.
Objection handling configures whether the agent responds to negative replies. When enabled, the agent politely closes conversations with declining prospects rather than leaving threads unresolved. It skips only the most hostile responses that warrant no reply.
Campaign and Account Selection
Reply agents can operate across all your campaigns or focus on specific segments. Tags provide the mechanism for this targeting. By tagging campaigns or accounts, you can assign different agents to different contexts.
This flexibility enables sophisticated configurations. You might use one agent for one product line with specific features and talking points, while a different agent handles another product with distinct characteristics. Sales team campaigns might use different agents than account management campaigns.
Matching agents to contexts ensures the guidance, tone, and information each agent uses remains relevant to the conversations it handles.
The Foundation for Training
The initial setup creates the structural foundation for your reply agent. The critical next step involves training the agent through detailed guidance that shapes how it actually responds to different situations.
This guidance process requires thinking through the patterns in your typical conversations. What questions do prospects commonly ask? What objections do they raise? What information should always be included? What should never be said?
Translating this knowledge into clear instructions enables the agent to represent your company effectively. The setup work you invest in guidance directly determines the quality of automated responses your prospects receive.
Video transcript
How much time do you waste checking your inbox, chasing replies and worrying if you forgot to follow-up with a lead? If you're running cold email at scale, this is usually the bottleneck. You spend hours jumping back and forth between tools, inboxes and reminders and let's be honest, missing one reply can mean missing a deal. That's why we're going to set up an AI reply agent inside instantly.
This agent reads and replies to every single response you get, faster and often better than a human would. It can loop you in when needed, you can train it to follow your playbook and the agent can even update your CRM for you as the deal progresses. Instead of living in your inbox, you let the agent handle the heavy lifting while you focus on closing conversations that matter. In this mini course, I'll walk you step by step through setting up your own reply agent so you never have to check your inbox one hundred times a day again, and you can scale Outreach without adding manual workload.
Let's jump in and build your first AI reply agent.
This is the exact screen that you'll see the moment you're setting up your first AI agent. And from here you want to go to the add new button to set up your first agent. It will ask you to name the agent, we can come up with a name that is descriptive, or in our case we're going to name it a test agent.
This is where you can choose between the two different AI agent modes. There's the human in the loop mode and the autopilot mode. They both do exactly what it says in the box. The human in the loop mode will write smart, personalized replies for you, and you'll review them first.
Most people get started with AI agents where they get the suggestions, so the work is done for them, you don't have to manually write all these emails, but in some cases maybe there are things that you're not one hundred percent comfortable with going out in your name, or you're saying listen, this is where I need to add a little bit more guidance so that I can answer your question the right way, ask the right follow-up questions, or send the right materials to this person. It will do exactly that, it will suggest those replies for you and then you're the human in the loop. The Autopilot or fully autonomous mode again does exactly what it says.
It will automatically reply to all the replies to your call emails, so you don't have to think about anything or worry about leads dropping off. And it will also update lead stages and CRM standards for you, which is another huge time saver and really helps you in getting all the leads in the right place at the right time. And it works twenty fourseven with no manual review, no input needed, and that is the mode that we're going to select for this tutorial.
Next up there are a few basic settings that I will ask you to confirm. Should the agent handle follow ups? That's fairly straightforward, and then there's whether or not the agent should respond to automatic emails and those are, for example, out of office emails. It's common practice to turn it off, however in some cases you may think I want to leave that on because I'm sending emails at very low capacity, I want to mimic that email conversation a little bit because in the end it will positively impact your deliverability, sending reputations, to have that going on. But again, it will take up sending capacity, so usually it's best practice just to leave that off.
And then whether or not they should handle objections, declines, or negative replies. If you hover the little icon right here, it will give you a bit more context on that. It will not reply to the most negative of replies. So someone's having a really bad day, they're telling you to go take a hike, it will ignore that one.
But for some cases it may make sense to reply to objections if someone says we're already using a competitor, for example, or if someone simply says listen, thank you very much, but it isn't for me. It is good practice to reply to that and say, Sure, thank you very much for your time and have a nice day. That is exactly what this option will do. When we hit Continue, it will ask us to select the campaigns and the accounts that we want to work with.
How you can set that up is you can add different tags to your campaigns and your accounts, and then you can select that here. You could, for example, say for product number one that we have, we want to set up reply agent number one, because that product set has different features, different SOPs that we use internally, what have you. And therefore product number two is just a completely different agent. That is one use case.
Another use case could be you wanted to manage the accounts from your sales team, but not from your account executive team, or from your team or what have you. A lot of different use cases for that and tags is how you manage that, and this is where you set that up. After you continue, you get into the guidance part of the AI agent. This requires a little bit more of a deep dive, so I'm going to save that for the next video.
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