Outcome board

What changed,what was built,what can be verified.

This page turns the work into evaluation evidence: the starting problem, the system response, the public artifacts, and the proof links that make the claim inspectable.

Outcome inspector

Pick a capability.See the proof route.

Each outcome is framed as a claim, the mechanism that makes it real, and the artifact someone can open to verify it.

Product UX
Claim

Usable surfaces for complex workflows.

SquadBrain turns recall into a replayable mobile loop; Lasting Ground turns scattered public context into a readable packet route.

2 surfacesPublic demos
Mobile + packetUX evidence
  1. 01Open the demo surface.
  2. 02Trace the state the user sees.
  3. 03Verify the linked implementation examples.

Evidence ledger

Outcome claims are only usefulwhen the proof path is one click away.

SquadBrain

From roster trivia to a tested competitive practice system.

Challenge: make memorization feel like a replayable mobile product instead of a static quiz.

Starting conditionStatic recall has weak replay value.Roster knowledge needs repetition, feedback, progress, and competition to stay engaging.
System builtPractice loop + match logic + validation boundary.Adaptive practice prioritizes cards; matchmaking balances competition; result validation protects rank movement.
Evidence visible25 tests, 98.3% line coverage, live demo, ADRs.Public examples show ranking, achievements, session state, roster normalization, matchmaking, adaptive practice, and result validation.

Lasting Ground

From scattered public context to a source-bounded packet system.

Challenge: organize fragmented public information into a readable packet without overstating what the sources support.

Starting conditionUseful context lives in too many places.Public layers, town pages, source registers, maps, and records can be hard to evaluate together.
System builtSource lanes + evidence scoring + packet composition.Authority, freshness, support, missing lanes, and blockers shape what the packet can safely say.
Evidence visible18 tests, 93.29% line coverage, sample PDF, ADRs.Public examples show validation, support-depth decisions, evidence scoring, cautious language, and output assembly.

Evaluation pattern

Good proof answersthree questions fast.

01What problem was being shaped?

The case study states the workflow problem, not just the technology used.

02What system handles it?

The operating model exposes states, rules, validation, review points, and delivery artifacts.

03Where can someone verify it?

The proof route links to demos, examples, tests, coverage, decision records, and sample outputs.

Portable review

Need the short version?

Open the three-page diligence packet for a compressed route through outcomes, model, lab, code, coverage, and artifacts.

View diligence packet · Open PDF

Why this matters

It shows range without asking anyone to trust vague claims.

Product sense
The work starts with a real user or operator problem, then turns it into a usable surface.

Systems thinking
The examples show how behavior is shaped with rules, states, scoring, validation, and review boundaries.

Delivery maturity
The artifacts make the work inspectable: live demos, public examples, tests, coverage, docs, ADRs, and sample outputs.