Case Studies

Architecture, constraints, and execution decisions.

Each case study focuses on why the work mattered and how technical choices were made under real constraints.

myassist

MyAssist: Live Operational Window, Not a Sync Engine

Designed as a provider-canonical control layer that reasons across systems without data mirroring.

Problem: Most personal productivity tooling drifts from source systems and becomes fragile when data ownership is unclear.
Why It Matters: Operational assistants fail when their model of reality is stale. Daily execution depends on trustworthy context.
Product Scope: Unified assistant over Gmail, Google Calendar, and Todoist with OAuth integrations, contextual reasoning, and explicit action confirmation.

Provider systems remain canonical for mail, calendar, and tasks.
App stores only connection state, preferences, app memory, and lightweight metadata.
Live on-demand reads power daily context; writes go directly to provider APIs.
Assistant mode supports local model path with deterministic fallback behavior.

Needed to preserve UX reliability without introducing a heavy sync infrastructure.
Had to keep architecture ready for hosted runtime without rewriting boundaries.
Required strict separation from historical orchestration artifacts (dormant n8n flows).

Normalized daily context contract (`live`, `mock`, `cache`) with explicit source signaling.
Cross-system action services with idempotent metadata for safe repeated requests.
Schema segregation into `myassist.*` on shared Supabase for platform consistency.

Provider-canonical model documented and enforced.
Hosted-mode verification and schema-segregation readiness artifacts.
Fallback strategy designed for continuity when local model runtime is unavailable.

Current maturity level: Strategic near-term launch path with production-ready boundaries.

kinetix

Built as a cross-platform running system where data integrity and interpretable performance scoring matter more than novelty.

Problem: Most running tools optimize for passive tracking, not actionable coaching tied to form quality and execution context.
Why It Matters: Useful performance tooling must connect metrics, model outputs, and user feedback loops in real time.
Product Scope: watchOS tracking runtime, iOS management and voice coaching hub, and web/PWA analysis path.

Platform-specific AI paths: on-device constraints on watch, cloud coaching on iPhone, local model fallback on web.
KPS invariants defined as non-negotiable contract for score interpretation.
Watch/iPhone connectivity treated as a first-class reliability concern.

Hybrid intelligence stack blending rule-based biomechanics and adaptive model paths.
Preset and battery profile system to balance precision with battery longevity.
Crash recovery and persistence behavior designed into workout runtime.

Cross-platform architecture with explicit feature partitioning by device capability.
Documented invariant contracts for KPS behavior.
Operational troubleshooting playbooks for connectivity and installation stability.

Current maturity level: Advanced product prototype with strong systems-level depth.

bookiji

Built the scheduling core as a governance-first system before expanding toward universal booking.

Problem: Booking products break trust when state transitions, payments, and availability rules are inconsistent under real-world load.
Why It Matters: Scheduling is a high-consequence workflow where ambiguity causes revenue loss and operational friction.
Product Scope: Provider-first scheduling SaaS with onboarding, availability management, booking lifecycle, and payments infrastructure.

Schema-qualified multi-product database spine (`platform`, `bookiji`, `kinetix`, `chess`).
Deterministic booking logic separated from advisory AI behavior.
Migration sequencing and verification treated as release-critical discipline.
Observability and SLO-oriented operations integrated into delivery process.

Adopted `BOOKIJI_TABLES`-style schema constants to eliminate unqualified table access.
Enforced migration order with explicit pre-drop verification checklist.
Introduced idempotency and fallback patterns in calendar and webhook-adjacent flows.

Current maturity level: Production scheduling foundation with roadmap-ready architecture.