This week took LIFE from a codebase to a deployed product. We built all app screens, the safety pipeline, AI memory and content systems, connected production services, and got the server live on Railway with all smoke tests passing. We also built a 934-question golden test database from real practitioner communities across 4 languages to rigorously test Wisdom before alpha launch.
A multi-layer safety pipeline that checks every message in under 1ms, flags concerning content by severity (green/yellow/orange/red), and alerts the team via Discord. Includes the "I'm overwhelmed" panic button with instant team notification.
Wisdom now remembers past conversations, searches meditation content semantically, and assembles personalized context for each session — while respecting user privacy toggles.
Home (chat + Wisdom orb), Journey (practice path with expandable stages), Session (timer + progress), Settings (preferences + privacy), and Auth (sign-in/sign-up) — all functional with a persistent AI chat bar accessible from every tab.
All 97 meditation documents converted from Word to structured markdown, cleaned of artifacts and working notes, embedded for AI search, and seeded into the production database. Content spans the full Awareness and Awakening path.
Swapped mock services for real integrations: Google AI embeddings, Gemini summarization, Discord team alerting, and Anthropic Claude (Opus 4.6) as the AI backbone. Services auto-fallback to mocks when keys are absent.
Server running on Railway with Docker. CI/CD pipeline on GitHub Actions. All 6 production smoke tests passing (health, WebSocket, chat, MCP, database, row-level security). Deployment runbook and verification checklists written.
Built a comprehensive test database of 934 real questions from actual meditation practitioners, collected from Reddit, Dharma Overground, teacher archives (Tara Brach, Shinzen Young, Daniel Ingram), VCE safety research, and Neidan/Qigong communities. Critically, this also includes 204 questions from Chinese, Japanese, Korean, and Thai practitioner forums — translated into English — covering culturally-specific concerns like qi deviation, dantian breathing, and nimitta experiences. Questions are tagged by practice stage, topic, and safety severity level (499 green, 243 yellow, 137 orange, 55 red) for systematic AI testing.
The backend server is live on Railway with all 6 smoke tests passing. Database migrations and content seeding are complete. Real service adapters (Discord alerts, Google embeddings, Gemini summarization) are connected and running. The app is functionally complete for text-based alpha testing.