12-STAGE EVIDENCE MAP
A competency map tied to live evidence, not a wall of skill badges. Strong means you can inspect the work. Partial means the thinking is visible but the original artifact is not. Needs evidence means no claim.
The portfolio itself is a working visual system: constrained palette, type scale, spacing rhythm, hierarchy and repeated visual grammar.
A coded system cannot prove how production files are structured in Figma.
Cases describe workflow mapping, mixed evidence and hypothesis framing. The research artifacts are not published yet.
The portfolio and evidence engine have clear, inspectable flows. Shipped-project flow artifacts are still missing.
Twenty live AI interaction patterns show motion, controls, transitions, feedback and recovery.
The site ships real tokens, shared React primitives, responsive rules, source history and a changelog.
Semantic controls, focus treatment, reduced motion and responsive layouts are implemented. Formal conformance is not claimed.
The live interface demonstrates action copy, source disclosure, uncertainty, approval, failure and recovery language.
The strongest body of proof: streaming, latency, tools, sources, reasoning, confidence, approval, escalation and human control.
Published case-study outcomes and evidence-led framing are present. The underlying analytics trail is not.
A production codebase proves shipping discipline, not collaboration with engineers or product partners. No team-collaboration claim is made.
Seven native cases cover B2B SaaS, healthcare, data, telemetry, adtech and AI-native practice. Five still need project-specific artifacts.
NATIVE IA PROOF
One first-screen choice, then progressive disclosure. A recruiter can reach proof without using the adaptive layer; the intelligent features speed the scan instead of becoming a gate.
Product depth first → five shipped-product cases → two AI-native explorations.
Search → filter → inspect source → copy an artifact.
Case framing → decisions → twenty live interface patterns.