Changelog

We ship improvements continuously. This page tracks every significant update to the UltimateIntel platform including new features, performance improvements, bug fixes, and infrastructure changes. Our team follows a continuous deployment model where changes ship as soon as they pass automated testing and review.

Development Timeline Our development follows a phased approach designed to deliver core value quickly while building toward the full vision of autonomous business intelligence.

Phase 1: Foundation (Completed) Core platform infrastructure including multi-tenant architecture with row-level security, JWT authentication with plan-tiered rate limiting, and the API gateway. All 16 microservices deployed on Google Cloud Run with auto-scaling and health monitoring. PostgreSQL database with Drizzle ORM for type-safe data access. Structured logging with Pino and GCP severity mapping.

Phase 2: Connectivity (Completed) Available adapters support source-specific authentication, mapping and incremental sync. The connector catalog includes entries whose ingestion or analytical coverage may be incomplete. Check availability in the app and review source permissions and supported metrics; no catalog-wide integration count is promised.

Phase 3: Intelligence (Completed) Natural-language query engine with complexity routing. Evidence-tiered explanation engine covering pattern correlation and temporal analysis. Timing and correlation do not establish causation. Anomaly detection and morning briefs use the available synced metric history.

Phase 4: Operations (In Progress) Autonomous action execution with human approval workflow. Custom connector synthesis from API documentation. MCP server for AI agent access. GDPR compliance engine with automated DSAR processing and crypto-shredding. Credit-based billing system with Stripe integration.

Architecture Decisions Key technical decisions made during development include choosing Hono over Express for lighter cold starts on Cloud Run, Drizzle ORM over Prisma for native RLS support and smaller bundle size, and node-postgres (pg) as the PostgreSQL driver for its mature ecosystem and stable Drizzle adapter. We use Zod v3 for schema validation across all services and Vitest for testing. The full technology stack is documented in our methodology page.

Versioning and Release Process We follow semantic versioning for our API and platform releases. Breaking changes are communicated at least 90 days in advance. Non-breaking improvements and bug fixes are deployed continuously without version bumps. Our release process includes automated testing across all 16 microservices, staged rollouts starting with internal environments, canary deployments to a subset of production traffic, and full rollout after verification. Rollback capability is maintained for every deployment.

Feedback and Feature Requests Customers can submit feature requests and feedback through the support form. Every submission is reviewed by our product team and prioritized based on user impact, alignment with our roadmap, and implementation complexity. We publish a quarterly product update summarizing what shipped, what is in progress, and what is planned next.