The first useful task
Can a normal user describe the job without learning a private language?
AI at work
Before you hire an AI agent, give it one boring job.
The pitch is usually a highlight reel. The useful test is smaller: can this thing finish a repeated task, use the right sources, stop for approval, and leave enough evidence for you to check its work?
The field test
Five things a demo tends to skip.
A slick result is nice. It is not the same as a dependable workflow.
Source discipline
Does the agent use the files and systems you named, or fill gaps with guesses?
Approval boundaries
Can it draft freely while stopping before sending, deleting, spending, or publishing?
Failure reporting
When something breaks, does it say what happened and what remains unfinished?
The real bill
Count setup, credits, retries, cleanup, and supervision. Subscription price is only one line.
Start here
Two useful pieces. No filler library.
We are building this desk slowly enough to keep it honest.
Field guide
How to test an AI agent before you trust it
A practical test plan built around one real task, with evidence and stop conditions.
Read the guide →Free worksheet
Is this task ready for an AI agent?
Six questions that expose vague jobs, missing source material, and risky permissions before setup.
Open the worksheet →Evaluation notebook
Viktor is on the list. It has not earned a recommendation yet.
Viktor is interesting because it works through Slack and Microsoft Teams and connects to business tools. We are evaluating the setup path, approval controls, output evidence, credit use, and failure behavior. There is currently no affiliate link on this page.
If that changes, the relationship will be disclosed beside the link. The evaluation standard will not change with it.