Adding Systems To An Agent

Stuck? Confused? Aime’s Help Agent is here to sort you out. In fact, it would have been a little strange if we hadn’t used Aime itself to compile and deliver its own help topics - and that’s exactly what we’ve done...

Some tasks involve processing a lot of data - pulling information from multiple systems, cross-referencing and merging figures, or performing calculations on datasets. Aime’s Data tab lets you see exactly what data your Agent is sourcing and processing.

Whenever an Agent receives a task, an Architect process breaks it down into sub-tasks that can be handled by Worker and Emissary processes. Aime’s Tasks view shows you the specific sub-tasks your Agent executed while working.

Keeping things transparent is what Aime is all about. If you want to know exactly what your Agent is doing, what steps it’s taking, and the decisions it’s making, Aime’s Stream gives you a top-down view.

One of Aime’s core features is transparency and auditability. Gone are the days of wondering how an AI platform reached a decision, or what steps it took to complete your task. With Aime, you can see everything - right down to the prompt level.

Fancy getting really technical with Aime? Want to see what’s happening under the hood? Aime’s Debug Mode gives you a wealth of information about your current conversation...

Not every Agent is going to work flawlessly straight out of the box. Sometimes you’ll need to tweak the prompts, tenets, purposes, or goals to make sure your Agent performs exactly as you want. That’s where Aime’s feedback functionality comes in...

Just as you wouldn’t expect a colleague to do everything in your business, Aime’s Agents are designed to be as specialist as they need to be. You might create Agents focused on HR tasks, or Data Analysis, for example. Then call on those skills when they’re needed for other tasks. This is where Summoning comes in...

Model Context Protocol (MCP) is a powerful way for AI-enabled platforms to communicate with each other. With Aime, you can set up Personal or Workspace MCP connections to get your Agents talking to other systems. This video takes you through setting up your own Personal MCP connection.

Aime’s interface is designed to be simple, uncluttered, and easy to navigate. This video takes you through the main UI, explaining each feature as we go.

Agents are designed to be portable, so we’ve made it simple to move them around. Find out how to copy and move configuration between Agents and instances, and how to manage the duplication and editing of Workflows.

The Librarian manages the files and documents you want to make available to your Agent. This video shows you how to make key documents available to your Agents, so they can use them as trusted sources of information.

Perhaps the most powerful aspect of Aime is the ability to create Agents and Workflows without any development knowledge. Aime is designed to be taught and coached by users, not engineers. In this video we build a workflow with our Agent by simply by talking it through.

Managing, copying, and updating workflows should be easy and that’s exactly how we’ve built it in Aime. Find out how to edit, export and tweak your workflows so they work exactly as you need them to.

Workflows are the key to helping your Agents understand and perform business processes. They’re central to Aime - and we’ve made it quick and easy to set them up.

For Agents to be truly effective, they need to learn and grow over time. That’s where Aime’s Memory comes in. We’ve built a simple way to capture memories in context, while you’re using an Agent.

How about some really deep configuration? This video takes you through the most advanced configuration you can perform using Aime's transparent architecture.

Sometimes, you want an Agent to lead a conversation or drive a process. Automation lets you tell your Agent to take the lead. This video takes you through setting up your Agent to spring into action as soon as it is activated.

AI Agents are amazing. But let’s face it - the last thing you want is a group of autonomous AIs running wild across your systems with no support, oversight, or security. That’s where Aime’s Sentinels come in...

One of the first things you’ll want to do in Aime is create a new Agent. This video takes you through setting up a Colleague Agent - a type of Agent that acts like a teammate. You’ll define their role, set responsibilities, and guide them on how to do their job.

Aime’s Agents offer powerful configuration options beyond the basics. In this video, we’ll define three key things for a Colleague Agent - Tenets, Purpose, and Goals.

We all need a little guidance from time to time - and Aime’s Agents are no exception. This video explains guidance - one of the most powerful tools you have to shape your Agent’s behaviour.

Whenever you create a new Agent, initially you’re the only person who can access it. This video will take you through the process of giving others users access to your Agents.