The Content Engine that
Learns and Improves
Welcome to the AutoResearch Loop. Any system with a measurable output, a changeable prompt, and a feedback signal can improve itself automatically.
1. Collect Metrics
Gather real-world engagement data from published content, integrating directly with WordPress and Outstand.so, tracking impressions, views, and human approval rates.
2. Score Content
Assign a deterministic quality score to every published piece using binary evaluation criteria — creating machine-readable scoring and eliminating subjectivity.
3. Correlate Signals
Cross-reference eval scores with real performance data to identify validated patterns and false positives, filtering out the noise to see what exactly resonates with your audience.
4. Mutate Prompts
Apply correlation insights to the 7 agent prompts per business. The system iteratively updates its own instructions, retaining winning structures while avoiding low-performing patterns.
5. Log History
Maintain a complete, queryable research log. Every prompt mutation is recorded, tracked, and can be reverted — ensuring safe, transparent, auditable improvement cycles.