Your AI helpers, each set up for a job.
An agent is a helper you set up once — its instructions, the tools it can use, and the AI it runs on. Build it a single time, then drop the same agent into any workflow or any conversation. Change it in one place and every use stays up to date.
Define once. Use everywhere.
Instead of writing the same instructions over and over across different jobs, you build an agent once and reuse it — so your team works from one shared, dependable set of helpers.
Set up for a job
Give an agent clear instructions and the tools it needs, and it handles that job whenever you ask.
Drops into anything
Use the same agent inside a workflow or in a plain conversation with the Assistant — it works the same way in both.
Pick its AI
Choose which AI each agent uses, and switch to a different one later without rebuilding it.
Build the building blocks once. Use them everywhere.
Your team's helpers, in one place.
Agents are kept in a shared library, so they are something the whole team can rely on — not a prompt one person pasted into a workflow and everyone else has to guess at.
- ✓One dependable version. Everyone uses the same agent, so the work comes out consistent.
- ✓Change it in one place. Update an agent once and every workflow that uses it follows along.
- ✓Promote what works. Turn a prompt you have been using in a workflow into a proper, reusable agent in a couple of clicks.
See Actana on your own work.
Book a demo and we'll walk through how it would work for your team — building it, putting it to work, and keeping an eye on it, using the AI you prefer and running where you choose.