CMS_EXIT

About the role

We help transform fragile MVPs into scalable, reliable production systems. If any of these challenges sound familiar, you're in the right place:

• Unreliable deployments
• Messy login, payments, or email handling
• Slow, crash-prone, or randomly timing-out systems
• Sketchy, unscalable database design
• Fear of breaking production with updates
• Confusing and unpredictable cloud costs
• Security, auth, and GDPR compliance concerns
• Need for 24/7 operation for real, paying users

We transform your fragile MVP into a scalable ecosystem in 5 risk-free steps:

• Connect your prototype to a proper production setup — safely.
• Automate deploys and rollbacks so you can ship updates without stress.
• Copy data safely and test changes without risking your live users.
• Move you off the fragile setup and onto something scalable — without downtime.
• Instantly revert if anything goes wrong. You’re never trapped.

Responsibilities

• Connect agents to legacy APIs, turning old systems into data sources.
• Automate workflows, allowing AI agents to handle day-to-day tasks.
• Write new content to modern databases (e.g., Postgres, Supabase).
• Map, clean, and migrate legacy data using AI agents.
• Move durable content into Git-backed Markdown/MDX systems for versioning and review.
• Deploy multi-model orchestration pipelines grounded in business logic.
• Design and build branded AI-driven experiences (e.g., ChatGPT apps).

Approach

Innovative companies rarely do big-bang migrations. Instead, they strangle monoliths step-by-step:

• Connect agents to legacy systems, turning them into data sources rather than operational hubs.
• Let agents take over workflows, writing new data to modern, lightweight databases.
• Use AI to map, clean, and migrate legacy data at scale once the new system carries enough load.
• Turn legacy CMS platforms into passive data sources, building modern orchestration layers on top.
• Move durable content into Git-backed Markdown/MDX for versioning, search, and agent memory.

We deploy a multi-model orchestration pipeline built on .NET 10 and Azure, grounding AI in your business in a controlled, repeatable way. Tasks are routed to the right model (Groq, OpenAI, Gemini, or local Ollama) based on cost, latency, and capability. We replace brittle multi-database setups with native vector capabilities in platforms like Azure Cosmos DB, PostgreSQL, or SQL Server.

Projects

LovOne.ai is our public direct-to-consumer flagship product, powered by the same Context Engine architecture we deploy for enterprise clients. It’s a private memorial-room experience where people gather stories and photos, then engage in gentle AI conversations grounded only in shared content.

We design branded ChatGPT app experiences that turn AI conversations into discovery, guided choice, and qualified handoffs. Brands gain a new distribution surface before the channel gets crowded, moving customers from high-intent conversations into their own funnels.