TMK Research Lab

A professional research portfolio concept focused on difficult web-research questions, verifiable evidence, transparent source trails, validation notes and clearly documented limitations.

Online information is easy to find but hard to verify; AI answers often lack auditable sources, and important claims need primary-source confirmation.

A structured research portfolio that designs difficult questions, verifies sources, cross-checks evidence and records findings with transparent limitations.

• Researchers and fact-checkers
• Journalists and investigators
• AI evaluators and benchmark builders
• Policy and public-record analysts

• Start from the specific business or user problem, not the feature list.
• Keep the first version small enough to test with real users quickly.
• Mobile-first, because most users arrive on a smartphone.

• Research-question design
• Source verification
• Evidence trails
• Cross-source validation
• Clear findings and limitations
• AI-browsing benchmark research concepts

• Rapid prototyping with modern no-code and AI-assisted development tools
• Iterative design of the core workflow before adding secondary features
• Structured data model designed around the main user journey

• Adoption depends on how simple the first experience feels.
• Solving one workflow properly beats launching many half-built features.

• AI research workflows
• Browser automation concepts
• Rapid prototyping
• Technical documentation