AI Agent Platform
No drag-and-drop diagrams. No technical scripts. Just explain what you need — correct it when it's wrong — and watch your AI team get better every time.
Free to start · No credit card required
What's inside
Select any module to learn more
How it works
You already know how to teach people. Praixia works the same way — describe the role, correct the mistakes, let it run.
Describe the role in plain language — what this agent does, how it should think, and what a good result looks like. If you can explain it to a person, you can train an agent to do it.
Let it run on real work. When it misses the mark, tell it what went wrong — in plain language. No settings to dig through. Your feedback becomes part of how it works, immediately.
Connect a webhook. From then on, every time work arrives, your agent picks it up and handles it start to finish — without waiting, without forgetting, without calling in sick.
What makes it different
Not how software expects you to configure it.
No code. No drag-and-drop. Write instructions the way you'd write a standard operating procedure — and your agent follows them.
When the agent gets something wrong, tell it what happened and what to do instead. Your feedback takes effect on the very next run.
Every correction is carried forward. The more you teach it, the better it performs — compounding, the same way experience does in a person.
MCP (Model Context Protocol) is an open standard that gives agents secure, structured access to external systems. Your agents don't just think — they act.
Every pipeline gets a unique webhook. Connect it to any system — the moment something needs doing, your agent is already on it.
Some jobs need more than one person. Assign multiple agents to collaborate on a task. They discuss internally and deliver one clean result.
Get started
Start with one agent. Give it a role. Correct it once. See what it becomes.
Free to start · No credit card required