# kaal:position:2026-09-12-004

**Affirmed position.** Cao proposes evaluation frameworks that agents can use for self-correction. Kaal's position is that unstaked monitoring does not solve the verification problem, because AI that monitors AI inherits the flaws of the agents it oversees. A red status is therefore not a verdict. It opens a review, with the evidence attached, by reviewers who have something at stake.

**Status.** affirmed  **Published.** 2026-09-12

**Holds when.**

- Cao's paper is a position paper citing benchmark evidence, not an empirical test of these claims.
- The position is Kaal's own argument in the essay Prompts Don't Govern Agents. Reputation Does.
- The position does not validate Cao's figures, benchmark methodology, or reported benchmark results.
- The position is limited to AI evaluation, red-status review, and reviewer incentives.

**Current debate.** Zhenfeng Cao, Agentic Software: How AI Agents Are Restructuring the Software Paradigm (arXiv:2606.05608v2, 2026): https://arxiv.org/abs/2606.05608

**Extends.** kaal:claim:5245185-027: https://wulfkaal.github.io/claims/5245185-027

**Scholarly basis.** Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185

**Source PDF sha256.** `4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2`

**Topics.** ai-and-agents, compliance

**Provenance.** Affirmed in kaalvis:2026-09-12:prompts-reputation-essay-six-v1 at https://wulfkaal.com/2026/09/12/prompts-dont-govern-agents-reputation-does/.

**Record type.** This is a dated commentary position that extends a scholarly corpus claim. It is not a verbatim claim extracted from the paper.

**Canonical form.** This markdown file is the canonical hashed representation of the position.