### expert_build/cli.py
VERDICT: PASS
CORRECTNESS: VALID
SPEC_COMPLIANCE: N/A
ISSUE_COMPLIANCE: N/A
BELIEF_COMPLIANCE: CONSISTENT
TEST_COVERAGE: COVERED
INTEGRATION: WIRED
REASONING: Correctly adds the `--parallel` CLI argument to the `summarize` command, allowing users to control the number of concurrent LLM calls.
---

### expert_build/summarize.py
VERDICT: PASS
CORRECTNESS: VALID
SPEC_COMPLIANCE: N/A
ISSUE_COMPLIANCE: N/A
BELIEF_COMPLIANCE: CONSISTENT
TEST_COVERAGE: COVERED
INTEGRATION: WIRED
REASONING: The refactoring into an async-based architecture for LLM calls is well-executed. Using `asyncio.Semaphore` provides proper concurrency control. The extraction of `_prepare_source` and `_write_entry` improves modularity and maintains the original document processing logic (truncation, frontmatter stripping, and provenance metadata). The use of `asyncio.run` within the synchronous `cmd_summarize` entry point is a safe pattern that enables internal parallelism while maintaining compatibility with existing synchronous callers like `expert_build/pipeline.py`.
---

### tests/test_summarize.py
VERDICT: PASS
CORRECTNESS: VALID
SPEC_COMPLIANCE: N/A
ISSUE_COMPLIANCE: N/A
BELIEF_COMPLIANCE: CONSISTENT
TEST_COVERAGE: COVERED
INTEGRATION: WIRED
REASONING: The test suite was correctly updated to handle the migration from `invoke_sync` to the async `invoke` by using `AsyncMock`. The new tests for parallel execution (`test_parallel_summarizes_multiple_files` and `test_parallel_default_is_sequential`) verify that the feature works as intended.
---

### SELF_REVIEW
LIMITATIONS: While `summarize.py` has been migrated to async, other components like `exam.py` and `propose.py` still use the synchronous `invoke_sync` wrapper. This partial migration is safe but leaves technical debt for future cleanup. I could not verify if the `pipeline` command should also have been updated to expose the `--parallel` flag, though `cmd_summarize` will correctly default to sequential mode if called without it.
---

### FEATURE_REQUESTS
- Include the implementation of `cmd_pipeline` in `expert_build/pipeline.py` during reviews of `cmd_summarize` to verify whether new features like parallelism should be bubbled up to the pipeline level.
