Automated content generation system running inputs through LLM chains for drafting, editing, and formatting. Human-in-the-loop review and version tracking built in.
3-stage LLM chain
70% reduction in drafting time
Full version diff audit trail
Content teams spend too much time on repetitive drafting and formatting. They need AI assistance that maintains brand voice while keeping humans in control of quality.
3-stage LLM chain: research → draft → edit/format
Brand voice fine-tuning with few-shot examples per client
Redis queue for async content processing jobs
Human-in-the-loop review interface with inline edit suggestions
Version tracking with diff visualization between drafts
FastAPI webhooks for CMS integration
Maintaining consistent brand voice across different content types - solved with dynamic few-shot example selection based on content category
Built diff-based version tracking that shows exactly what the AI changed between draft iterations
Designed the review interface to minimize friction - reviewers can accept/reject changes inline without context switching