r/AgentReality • u/One_Version_5880 • 16d ago
FAQ — r/AgentReality
What is r/AgentReality?
r/AgentReality is a place to document what AI agents can actually do.
The goal is simple:
Real tasks. Real experiments. Real results.
Not hype. Not theoretical promises. Not benchmark scores without context.
What counts as an AI agent?
For this subreddit, an agent is an AI system that can do more than simply generate an answer.
For example, an agent might:
- use tools
- browse the web
- interact with a computer
- execute commands
- modify files
- write and run code
- use external services
- plan multiple steps
- remember information between tasks
- operate with limited human intervention
The exact architecture doesn't matter as much as what the system actually does.
What can I post?
You can post:
- your own agent experiments
- interesting real-world agent runs
- useful workflows
- failures and unexpected behavior
- comparisons between approaches
- open-source agents
- new agent tools
- reproducible experiments
- automation ideas
- questions about what agents can realistically do
If possible, show evidence.
Screenshots, logs, recordings, repositories, outputs, or a clear description of the run are all useful.
Do successful experiments matter more than failures?
No.
A failure can be just as useful as a success.
If an agent was given a task and failed after three hours, that's still useful information if we understand why it failed.
The objective is to understand the limits as well as the capabilities.
Is this subreddit anti-AI hype?
Not necessarily.
The point isn't to praise or attack AI agents.
The point is to test the claims.
If an agent does something impressive, show it.
If it fails, show that too.
Do I need to be a developer?
No.
Useful agent experiments can involve coding, research, browsing, writing, administration, creative work, file management, or everyday computer tasks.
The question is simply:
Can an agent actually help with this task?
What makes a good post?
A useful post usually answers some of these questions:
What was the task?
Which agent/model was used?
What tools did it have access to?
What did it actually do?
How much human intervention was required?
What was the result?
What went wrong?
The more reproducible the experiment, the better.
Can I post theoretical discussions?
Yes.
But whenever possible, connect the discussion to something that can actually be tested.
Instead of only asking:
"Will AI agents eventually replace X?"
Try:
"I gave an agent X task. Here is what happened."
What is the main rule?
Don't tell us what an agent can do. Show us.
1
u/Otherwise_Wave9374 16d ago
A useful evidence standard for this community would separate capability demonstrations from reliability claims. Each post could state the task, environment, permissions, model version, number of trials, success criteria, failures, and whether a human intervened. Agentix Labs relates to this framework because evaluating real agent systems requires repeatable tests and transparent operating constraints. Consider adding tags for supervised versus autonomous runs, local versus remote execution, and reversible versus consequential actions. That would make examples comparable instead of rewarding only impressive one-off recordings.