Before
- Manual research
- Manual brief
- Manual generation
- Manual variants
- Manual review
- Manual publishing
- Little operational memory between cycles
Building PERGA's AI Content Factory
How PERGA is building a repeatable system for research, creative production, human review and content distribution.
The problem
Content production doesn't fail because there are too few AI tools. It fails because every new piece of content starts the process again.
- Research is repeated
- Briefs are rewritten
- Brand context is reconstructed
- Formats are adapted manually
- Reviews happen across disconnected channels
- Publishing becomes another separate workflow
From manual to system.
The system
- Market signals
- Research
- Brand knowledge
- Content brief
- AI production
- Human review
- Variants
- Distribution
- Performance feedback
- Content memory
The objective is not to remove people from creative production. It is to remove the unnecessary repetition around them.
What PERGA is building
- A research layer that gathers relevant signals
- A brand context layer that keeps production aligned
- A structured brief workflow
- AI-assisted production across multiple formats
- Human review before critical outputs move forward
- Reusable transformation workflows
- Distribution automation
- Performance feedback that informs future production
What we're learning
- AI can dramatically reduce repetitive production work
- It does not remove the need for taste, context or judgment
- The highest leverage comes from connecting tools into a repeatable system
- The workflow matters more than any single model