CHATGPT_CHANNEL

About the role

We help transform fragile MVPs into scalable, production-ready ecosystems. 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
• Unscalable database design
• Fear of breaking production with updates
• Confusing and unpredictable cloud costs
• Security, auth, and GDPR compliance concerns
• Need for 24/7 uptime for real, paying users

We connect your prototype to a proper production setup safely, automate deploys and rollbacks, transfer data without risking live users, move you off fragile setups without downtime, and ensure instant revert capabilities if anything goes wrong.

Responsibilities

• Transform fragile MVPs into scalable ecosystems through a structured, risk-free process
• Automate deploys and rollbacks to enable stress-free updates
• Safely migrate data and test changes without impacting live users
• Move systems off fragile setups onto scalable infrastructure without downtime
• Ensure instant revert capabilities for any issues
• Strangle legacy monoliths by moving workflows out incrementally
• Connect agents to legacy APIs, turning old systems into data sources
• Let agents take over workflows, writing new content to modern databases
• Use AI to map, clean, and migrate legacy data at scale
• Build agent-driven stacks using AI orchestration, integrations, and secure workflows
• Deploy multi-model orchestration pipelines grounded in business logic
• Replace brittle multi-database setups with native vector capabilities
• Design and build branded AI experiences (e.g., ChatGPT apps) for discovery and guided choice
• Move durable content into Git-backed Markdown/MDX systems for versioning and collaboration

How we work

Innovative companies avoid big-bang migrations. Instead, they:

• Strangle monoliths step-by-step, moving workflows out first
• Connect agents to legacy APIs, turning old systems into data sources
• Let agents handle workflows, writing new content to modern databases
• Use AI to map, clean, and migrate legacy data at scale
• Turn legacy systems into passive data sources while building modern orchestration layers
• Move durable content into Git-backed Markdown/MDX for versioning and agent memory

Technologies we use

• Multi-model orchestration pipeline built on .NET 10 and Azure
• Model-agnostic routing (Groq, OpenAI, Gemini, local Ollama)
• Native vector capabilities in Azure Cosmos DB, PostgreSQL, or SQL Server
• Git-backed Markdown/MDX for content and agent memory
• Modern databases like Postgres or Supabase

Our work in action

LovOne.ai is our public direct-to-consumer flagship product, powered by the same Context Engine architecture we deploy for enterprise clients. It offers a private memorial-room experience where users gather stories and photos, then engage in gentle AI conversations grounded 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 in high-intent conversations, shifting discovery from links and search results into interactive experiences.