Making AI tools easier to evaluate.
A structured discovery product for comparing AI tools through use cases, pricing, editorial information, and moderated reviews.
Capabilities are grounded in the project repository. The product identity, domains, and repository links remain private.
People evaluating AI tools for a task and looking for clear pricing and capability information.
Developed a WordPress-based catalog with structured pricing, editorial fields, taxonomies, review moderation, and search-readable product information.
AI products change rapidly, and descriptions often make it difficult to distinguish use cases, billing units, free plans, and paid tiers.
Model tools by category, use case, platform, and pricing structure.
Separate editorial information from user ratings and provide review moderation.
Support structured content import and machine-readable catalog markup.
Make pricing comparable
Represent pricing models, tiers, billing units, and trial availability as structured data.
Separate sources of opinion
Distinguish editorial reviews from community ratings so visitors can understand the source of a recommendation.
Design for discovery
Use category and use-case navigation with structured markup to make the catalog easier to find and understand.
A broader catalog increases coverage but creates a larger freshness burden. Pricing and capability information require continuing verification.
Evaluation priorities include pricing completeness, content freshness, review quality, and successful tool discovery. No traffic, conversion, or revenue results are claimed.
The product signals behind the result.
- Information architecture
- Content product management
- Data modeling
- Discovery experience
- Hands-on building
“A discovery product earns trust by making comparisons clear and keeping the underlying information current.”