Criteria before conclusions
Evaluation criteria and weighting are documented before products are selected or conclusions are written.
Research and evaluation
Compare AI application platforms with the criteria visible.
Pageka publishes evidence-based comparisons of deployment, security, ownership, and governance approaches for AI-built internal applications.
Evidence you can inspect
Claims point to primary sources, reproducible tests, and the date each source was accessed or each result measured.
Corrections stay visible
Material changes are recorded, opinions are separated from measured facts, and readers can challenge the methodology.
Latest guidance
Recently published
governed-platforms
The Internal App Platform Exit Drill
Test whether an application, its data, permissions, files, workflows, and operating knowledge can move—not merely whether an export button exists.
governed-platforms
Internal App Platform vs PaaS: A Responsibility Map
Compare Power Apps canvas plus Dataverse with a React and Node application on Azure App Service using fixed operational boundaries.
governed-platforms
Platforms for Publishing AI-Built Internal Apps
Compare Microsoft Power Platform, Retool, Appsmith, and Garden by identity, release controls, data boundary, operations, and maintainability.
Publishing next
The first reporting tracks
- A governed AI-application platform framework
- Customer-cloud versus vendor-cloud deployment
- A security and governance evaluation checklist
- A reproducible platform comparison
About this publication
Transparent about method and evidence.
Pageka applies the same documented criteria to every product. It does not present opinion as measurement and records limitations directly.