An AI-powered system that ensures brand voice consistency using structured GPT-4 prompts and training data. Built with an agent-first architecture that blends LLM automation with human review to eliminate bottlenecks without sacrificing tone integrity.
Brand Voice Trainer ensures messaging consistency by analyzing content against a founder’s tone and narrative style. It streamlines content QA and empowers teams to write with clarity and alignment - especially useful in fast-paced, high-volume environments.
Podcast asset production was tedious and manual, requiring multiple rounds of review and formatting each week.
Built an AI-driven workflow that parses transcripts, extracts key takeaways, suggests clips, titles, captions, and thumbnail prompts, with a human QA layer before publishing.
- Saved 4+ hours/week in manual asset creation
- Streamlined collaboration between editors and marketing
- Maintained consistent branding across episodes
- Analyzes drafts for tone and phrasing alignment
- Provides actionable feedback and rewrite suggestions
- Trained on custom brand voice briefs and narrative samples
- Accelerates review cycles without diluting personality
- GPT-4 (Core prompt engine for tone analysis and rewrite generation)
- Claude (Used for prompt testing, refinement, and QA comparison)
- JSON (Structured format for persona, voice principles, and examples)
- Google Docs / Notion (Source documentation and collaborative editing)
Prompt Engineering:
- Uses a 10-step voice alignment framework
- Evaluates clarity, tone, authenticity, and founder match
- Offers inline edits + strategic rewrite options
Training Data:
- Brand voice brief (3–4 pages)
- Founder-authored posts and storytelling samples
- Generic examples labeled for filtering and correction
Workflow Integration:
Creator → Draft → Brand Voice Trainer → Self-Edit → Publish
- ⏱️ 60% reduction in content review time
- 🧠 Increased copywriter autonomy and consistency
- 📝 Protected founder voice even under resource constraints
- 🚀 Zero delays in content publishing after rollout
- ✅ Voice Training + Prompt Architecture Complete
- 🟡 Prompt Refinement Ongoing
- 🔴 Automation/UI Layer: Next phase (n8n or Replit)
- PromoFlow AI – Podcast asset automation
- Content Repurposer AI – Short-form clip generation
Ros Talbot — AI Workflow Architect | Creative Project Manager
Building systems that enhance creative output through automation + authenticity.