š Do you have your favorite AI Agents?
Today we can all brag about our agents =)
Almost every product has them, everyone works with them, gives them names, and creates the āspecialistsā they need to work better and faster.
In RunEvr, we currently have two types of agents: those who help with the system and overall coordination, and those who work as creative artists.
Let me introduce some of our lovely ones!
Ari - our guide
She's the first agent you meet when you join RunEvr. Ari helps you navigate the environment, find everything you need, and work more easily and quickly.
Aurora - our manager and coordinator
Need to find a task, check who's available, see what your team is working on, or create and assign tasks? Aurora is always there to help.
She works with the context of all the projects you have access to and is always available as your personal coordinator.
Iris - our copywriter
Documents, wikis, scenarios, scripts, messagesā¦ Iris works with all kinds of text.
She's always in the context of your projects and tasks. So, if you need to create a scenario for a project, you don't have to explain the style, tone, and background all over again. Just tell her what you need in a couple of words, and you're ready to go!
Lan - our concept artist
Just like Iris, Lan works in the context of your projects. She creates concepts, sketches, and visuals specifically for the project you're working on.
And the best part? The review flow works just like it does with your human teammates.
This workflow has helped us reduce the number of prompts by around 60%, saving time and resources.
Now it's your turn!
Introduce us to some of your favorite agents!
I know everyone has at least one agent they're a little proud of - or maybe even secretly in love with <3 =D
Replies
I need an agent that turns my messy brain dump into an actual plan. I can have twenty ideas in the morning and somehow finish the day wondering what I was supposed to do first. A little organization would go a long way!
One feature I'd really appreciate is an agent that remembers why something was rejected during review. Otherwise, you end up explaining the same feedback over and over, which defeats part of the purpose of having an assistant in the first place.
I'd actually love an agent whose job is to disagree with me. Not just be negative, but challenge my assumptions, point out weak arguments, and show me what someone with the opposite opinion might say. Sometimes the most useful teammate is the one who doesn't immediately say yes.
It's funny how quickly we start giving these tools personalities. I catch myself saying "let me ask my assistant" as if someone is sitting on the other side of the screen š Maybe a good name really does make technology feel easier to work with.
I can see this being genuinely useful when the workflow is designed well. My only hesitation with autonomous agents is knowing when they've made a decision on my behalf. I'd love a clear history of what they did, what they assumed, and where human approval was needed.
Now I want to know which agent has surprised you the most in real use, not just in a demo. Was there a moment when it understood something you expected to explain manually? Those are the stories that make me curious about this whole space.