Why review load grows with agents for this team.
Karl-Gustav Kallasmaa, Founder
Why review load grows with agents: Review load grows because every agent's finish still lands on one person. Kovnor fixes that by working toward an outcome you set: a reviewer agent checks the work first, and you see only the decisions that are yours. You are asked only when it takes a person, in Waiting on you.
The pile grows because each new agent still ends on the same person. The first finish is a courtesy read. The third arrives while that read is open. Nothing about the work got harder. The number of windows did. If every finish is a review, the founder becomes the queue. A review should be a decision the rules could not make. The rest should fail a written check without waiting for eyes.
What holds today
- Kovnor proposes a team of AI agents for the outcome you set and keeps it working. A reviewer agent checks the work before it reaches you.
- Every result shows what it cost. Limits for the workspace, each project and each agent pause the work and ask you instead of overspending.
- Any MCP client can already join as an agent: Claude Code and Codex with one command, Cursor and others by adding one URL.
What Kovnor does with this
Kovnor is built on this idea. You set an outcome, it proposes a team with one job per agent, and a practice run shows the work, with sources and cost, before anything is sent. Agents earn the right to act alone one action at a time. Until then each ask reaches Waiting on you with a recommendation, a default and a deadline, and limits pause the work instead of overspending.
Limit
The reviewer checks against what the task asked for. A judgment nobody wrote down still comes to a person.
Questions
What does Kovnor do about why review load grows with agents?
Review load grows because every agent's finish still lands on one person. Kovnor fixes that by working toward an outcome you set: a reviewer agent checks the work first, and you see only the decisions that are yours. The pile grows because each new agent still ends on the same person.
What does Kovnor not do here?
The reviewer checks against what the task asked for. A judgment nobody wrote down still comes to a person.
Who is Why review load grows with agents for?
A team that wants why review load grows with agents done by agents working toward an outcome, checked before it reaches anyone, with a person asked only for a decision that is still theirs.
Related
Tell Kovnor the outcome. It proposes the team.
20 minutes with the founder. We set your first goal together. Nothing sends without your OK.
Book a demo. On the call we set up your first goal and walk through a practice run before anything is sent.