Most first agents fail for the same three reasons: the job was too vague, the agent got too much power too early, and nobody read its output. All three are avoidable.
- ›Choosing a first job that will succeed
- ›Writing instructions that actually constrain behavior
- ›The dry-run discipline
- ›Earning autonomy over weeks, not minutes
Choose the right first job
A good first agent job has three properties:
It recurs. Weekly or daily. One-off work is not worth automating.
Its inputs are already in your system. An agent cannot reason about data it cannot see.
Failure is cheap. A wrong draft wastes a minute. A wrong invoice wastes a relationship.
Good first jobs: summarize what changed in the pipeline this week; flag tasks that have been in review more than three days; draft follow-ups for candidates who have gone quiet; produce a Monday briefing from last week's activity.
Bad first jobs: "manage our sales process", "handle customer emails", anything touching money.
Write the brief like a job description
The instructions are where agents succeed or fail. Write what you would tell a competent new hire on their first day:
- ›Role: what this agent is responsible for.
- ›Scope: what data to look at, and what to ignore.
- ›Definition of good: what a successful output looks like.
- ›Boundaries: what never to touch.
Vague briefs produce vague agents. "Help with sales" gets you generic output; "review deals in the negotiation stage with no activity in 7 days, and for each draft a two-sentence internal note on what is likely blocking it" gets you something useful.
Grant the minimum tools
Read access to the modules the job needs. No write access on the first pass. An agent that can only read and draft cannot do damage while you are learning what it does.
Dry run until it is boring
Run the agent against real data with nothing written. Read the output critically:
- ›Did it scope correctly, or wander?
- ›Did it invent structure you do not have?
- ›Is the tone right for the audience?
- ›Would you have acted on this?
Edit the brief, run again. When two consecutive dry runs are good, enable the schedule.
Warning: Do not skip the dry run because the first output looked fine. First outputs on clean examples often look fine; the second run over messier data is where the brief's gaps show.
Earn autonomy over weeks
Weeks one and two, the agent proposes and you approve everything. When you find yourself approving the same proposals unchanged, that is the signal to delegate that specific verb, not general authority. See AI autonomy levels explained.
Move down as readily as up. If proposals start accumulating unread, the agent is producing more than your team consumes, and the fix is a narrower scope or a slower cadence.
FAQ
How long until an agent is actually useful?
A well-chosen agent produces useful output on day one and becomes reliable in two to three weeks of brief refinement.
What if the agent produces nothing useful?
Usually the job was wrong, not the technology. Vague scope and missing data are the two causes; check both before rewriting the brief a fifth time.
Should we build or install from a marketplace?
Install first. Templates encode a working structure, and adapting one teaches you more about briefs than starting blank.
Brainis includes an agent marketplace, a builder with dry runs, and governed autonomy with full undo. See pricing.
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