- Introduced support for catalog exercise hints in various functions, including `_build_stage_ai_context`, `try_suggest_ai_stage_step`, and `build_gap_fill_goal_text`, improving the contextual information available for AI suggestions.
- Added a new function `catalog_exercise_hints_block` to consolidate hints retrieval from the catalog context.
- Updated the `PlanningIntentContext` to include catalog exercise hints, ensuring they are part of the API output.
- Implemented tests to verify the inclusion of catalog exercise hints in goal text generation and rematch logic.
- Incremented version numbers and updated changelog to reflect these enhancements.
- Introduced multistage path quality assurance (QA) functionality to improve exercise relevance and feedback through structured tiers and optimization hints.
- Updated stage specifications to include `start_state` and `target_state` for better contextualization in roadmap matching.
- Enhanced semantic brief construction with technique sibling exclusions to refine exercise selection based on primary topics.
- Improved path retrieval logic to incorporate new parameters for nuanced matching against learning goals.
- Incremented application version to reflect these updates.
- Introduced `intent_context` and `semantic_brief` parameters in `try_llm_stage_specs` to improve context handling for stage specifications.
- Updated `build_goal_analysis` to extract explicit exclusions from goal queries, enhancing constraint management.
- Enhanced `roadmap_context_from_override` to enrich semantic briefs with path constraints and finalize stage specifications with intent context.
- Incremented application version to reflect these updates.
