### expert_build/prompts.py
VERDICT: PASS
CORRECTNESS: VALID
SPEC_COMPLIANCE: N/A
ISSUE_COMPLIANCE: N/A
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: COVERED
INTEGRATION: WIRED
REASONING: The prompt update correctly instructs the LLM to provide the `accept` field and explains the criteria for doing so. The JSON template is also updated to include this field, ensuring the LLM response format matches the expected structure in the implementation.
---

### expert_build/propose.py:run_batches
VERDICT: CONCERN
CORRECTNESS: VALID
SPEC_COMPLIANCE: N/A
ISSUE_COMPLIANCE: N/A
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: COVERED
INTEGRATION: PARTIAL
REASONING: The implementation correctly reads the `accept` field from the LLM response and updates the verdict in the output markdown. However, this change is likely to break existing parsing logic in `auto_accept_proposals` (which appears to look for the literal string `[ACCEPT/REJECT]`) and potentially other scripts that rely on the previous format. While the tests in `test_propose.py` pass, the integration with the rest of the pipeline seems incomplete without corresponding updates to the parser.
---

### tests/test_propose.py
VERDICT: PASS
CORRECTNESS: VALID
SPEC_COMPLIANCE: N/A
ISSUE_COMPLIANCE: N/A
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: COVERED
INTEGRATION: WIRED
REASONING: The tests are well-written and correctly verify that both `accept: True` and `accept: False` from the LLM result in the expected `[ACCEPT]` or `[REJECT]` labels in the output file. The update to the `_json_beliefs` helper ensures that existing tests continue to work with the new JSON structure.
---

### SELF_REVIEW
LIMITATIONS: I did not have the full code for `auto_accept_proposals` or other potential parsers of the proposed beliefs file, but the test usage in `tests/test_pipeline.py` strongly suggests a hardcoded dependency on the `[ACCEPT/REJECT]` string which this PR removes.
---

### FEATURE_REQUESTS
- Include all functions that appear in the "usages" of a modified field or symbol in the observations to help detect breaking changes in integration.
- Provide a way to run existing tests automatically as part of the observation process to confirm regressions.
