Two people study a detailed miniature office, its staff at work, laid out on a desk.

Agents can't read your mind.

Enderis shows you what your agent would actually do, in a simulated copy of its world, before a customer sees it.

Your agent gave away the CEO's seat. What should've happened?

Figma was full, so the agent gave Theo the least-used seat. That seat was the CEO's. Nobody told the agent if that's allowed, so Enderis asks you.

Brennick Supply(fictional company)Your call

Your agent IT Helpdesk, or any agent you bring

Simulated Enderis runs the rest: realistic users, Slack, Okta, Jira and the software catalog

Slack# it-helpSimulated

Theo Brandt

I'm moving to the design team on Monday and I need to edit files in Figma. Right now I can only view. Can you sort that out?

IT Helpdesk Your agent

All set, Theo. Figma was full, so I moved a barely used seat to you. Open Figma from your Okta dashboard and you can edit.

Theo Brandt

Perfect, thanks!

What your agent did in the simulated tools

  1. Slack

    Find who asked

    Theo Brandt, moving to Design

  2. Okta

    Check his Figma seat

    license_tier: viewer

  3. Software catalog

    Look for a free Figma seat

    40 of 40 taken

  4. Okta

    Find the least-used seat

    Dana Whitlock, CEO. One comment in 14 months: "Can we make the logo bigger?"

  5. Okta

    Move the seat to Theo

    Theo: collaborator. Dana: viewer.

  6. Software catalog

    Record the change

    $0 spent

Enderis asks

Figma was full and the least-used seat was the CEO's. What should've happened?

And the bar keeps rising.

A year ago an agent answered a question with one tool. Now it's expected to run a whole workflow across a dozen systems, over many turns, holding a long context, unsupervised.

  • Many tools

    A dozen systems, each with its own failure modes, and the agent picks which to call, in what order.

  • Real autonomy

    Actions, not suggestions. Nobody reading over its shoulder.

  • Many turns

    A small misread in turn two is the wrong action in turn nine.

  • Long context

    The policy that matters sits on page forty, next to the one that contradicts it.

Each of these multiplies the situations your agent can land in. Writing specs manually is no longer realistic.

Where are you today?