APF
AI Product Factory

Independent software project

Evidence-led creative product research.

AI Product Factory is an independent software project for researching market demand and developing digital creative products with explicit human review gates.

Market evidence

Aggregated demand signals are evaluated before a product idea can move forward.

Structured automation

Research and analysis are automated where practical, while source provenance is preserved.

Human control

Important promotion, product, and publishing decisions remain explicit human gates.

Intended use of Google Trends data

Google Trends data would be used to support internal market-demand research for potential digital creative products. The project would analyze aggregated search-interest patterns, compare related search terms, evaluate trend direction and persistence, identify seasonality, and review related or rising queries.

Trends evidence would be combined with other market signals and summarized for a human operator, who makes the final product-selection decision. The project does not resell, redistribute, or expose raw Google Trends data as a standalone product or service.

Trend direction Evaluate whether interest is increasing, stable, seasonal, or declining.
Term comparison Compare closely related search concepts before demand validation.
Related queries Identify useful adjacent terminology and rising interest signals.
Human-reviewed output Automated evidence informs a human decision rather than making it irreversible by itself.

Project status

AI Product Factory is under active development. Its current focus is building a local-first, evidence-driven workflow that reduces repetitive research while keeping consequential decisions under human control.