ALwrity/docs-site/docs/features/content-strategy/implementation-status.md

Content Strategy Implementation Status (Verified)

Last verified: May 26, 2026

This page reflects a static code review of the current implementation and supersedes older roadmap claims in internal notes.

What is implemented now

Backend service architecture

Implemented modular service structure under:

• backend/api/content_planning/services/content_strategy/core/
• backend/api/content_planning/services/content_strategy/ai_analysis/
• backend/api/content_planning/services/content_strategy/onboarding/
• backend/api/content_planning/services/content_strategy/performance/
• backend/api/content_planning/services/content_strategy/utils/

AI analysis module

Implemented:

• AI recommendation and analysis services
• Prompt engineering support
• Quality validation paths
• Multiple analysis modes and fallback handling

Key files:

• ai_analysis/ai_recommendations.py
• ai_analysis/prompt_engineering.py
• ai_analysis/quality_validation.py
• ai_analysis/strategy_analyzer.py

Onboarding integration

Implemented (not placeholder-only):

• Onboarding data aggregation/integration
• Field transformation from onboarding inputs to strategy fields
• Data quality assessment scaffolding and scoring paths

Key files:

• onboarding/data_integration.py
• onboarding/field_transformation.py
• onboarding/data_quality.py

Core strategy orchestration

Implemented:

• Main strategy service orchestration
• Constants and field mapping support
• API endpoint wiring in content strategy route modules

Key files:

• core/strategy_service.py
• core/constants.py
• core/field_mappings.py

Partially implemented / needs hardening

Performance layer

Files exist and are wired, but should be treated as hardening required for production-grade behavior:

• performance/caching.py
• performance/optimization.py
• performance/health_monitoring.py

Recommended hardening:

• Redis TTL policy verification
• cache invalidation consistency
• dependency health telemetry and alertability

Utility + transformation overlap

There is overlap risk between:

• onboarding/field_transformation.py
• utils/data_processors.py

Recommended hardening:

• define one canonical transformation path
• align confidence/data-quality contract across services

Not yet complete (from roadmap perspective)

• Advanced real-time analytics dashboards
• fully matured predictive insights / ML workflows
• enterprise collaboration workflows (versioning/approval patterns)

Documentation policy

For public docs-site pages:

1. Treat this page as implementation truth for status language.
2. Use "implemented", "partial", or "planned" only when mapped to concrete files.
3. Avoid stale milestone dates; use explicit verification dates.

For internal docs in docs/:

• keep architecture notes and historical plans,
• but avoid status claims that conflict with this verified page.