# Phase 165.3 Summary

Status: materially complete in working tree

## Goal

Make AITP usable by a physics researcher who has never seen it before by
 replacing machine-first CLI/operator surfaces with bounded human-first entry
 points, help surfaces, steering, and failure output.

## Shipped Slices

- `165.3-01` / `999.60`
  - compact human-readable `aitp status`
  - compact human-readable `aitp next`
  - `aitp status --full` renders the persisted dashboard note
- `165.3-02` / `999.61`
  - `aitp hello` onboarding wrapper
  - production-backed install check + demo topic creation + status return
- `165.3-03` / `999.63`
  - progressive-disclosure command guide via `aitp help`
  - grouped full inventory via `aitp help --all`
- `165.3-04` / `999.62`
  - checkpoint-surface jargon cleanup
  - CI anti-jargon gate for targeted operator-facing support files
- `165.3-05` / `999.64`
  - natural-language topic steering via `aitp steer-topic --text ...`
- `165.3-06` / `999.70`
  - human-friendly subprocess failure messages
  - no Python traceback at the user-facing CLI boundary for handled runtime
    errors

## User-Facing Outcome

`165.3` now gives AITP a coherent front-door HCI layer:

- first contact is bounded and readable instead of a raw machine dump
- users have a discoverable command surface instead of a flat 60+ command wall
- steering can be expressed in normal language and still lands in durable
  artifacts
- common install/runtime subprocess failures now surface suggested fixes rather
  than interpreter tracebacks

## Verification Snapshot

- `python -m pytest research/knowledge-hub/tests/test_aitp_cli.py -q`
- `python -m pytest research/knowledge-hub/tests/test_subprocess_error_contracts.py -q`
- `python -m pytest research/knowledge-hub/tests/test_aitp_cli_e2e.py -q -k "help_cli_human_paths or steer_topic_text_cli_json_path_materializes_direction or hello_cli_json_path_creates_demo_topic_and_status or first_run_bootstrap_loop_status_cli_flow or sync_l1_graph_export_to_theoretical_physics_brain_cli_json_path"`
- `python -m pytest research/knowledge-hub/tests/test_runtime_scripts.py -q`
- `python -m pytest research/knowledge-hub/tests/test_aitp_service.py -q -k "execution_lane_confirmation_checkpoint_created_before_dispatch or pending_human_promotion_gate_creates_operator_checkpoint or contradiction_checkpoint_uses_plain_language or steer_topic_from_text_materializes_parsed_steering or materialize_steering_preserves_manual_innovation_direction_text or run_topic_loop_materializes_steering_artifacts_from_human_request or migrate_local_install_moves_workspace_legacy_and_records_pip_actions or migrate_local_install_reports_runtime_convergence_before_and_after or install_agent_writes_bootstrap_assets"`

## Residual Risk

- one unrelated pre-existing dirty-worktree failure remains outside this phase:
  - `test_materialize_runtime_protocol_bundle_writes_expected_artifacts`
  - schema cause: `progressive-disclosure-runtime-bundle.schema.json` currently
    lacks `$defs/l1_concept_graph`

## Next Logical Step

The roadmap can now move from HCI foundation into:

- `165.4`: Agent Governance — Mechanical Verification + Schema Isolation
