Technology Lab
Tools chosen for depth and delivery.
We keep a deliberately small stack so we can go deep. Explore each layer to see what we reach for and why.
Interactive stack
Agents, interfaces, and infrastructure in one deliberate kit.
Interfaces and product platforms
Every choice here is defensible on three grounds: how fast a senior team can move in it, how well it holds up in year three, and how easily your own engineers can take it over.
Why this stack
Depth over inventory.
Frontends lean on React and TypeScript for typed interfaces that stay maintainable as products grow. Backends and agents use Python and FastAPI when latency, tooling, and model orchestration matter. Data lives in PostgreSQL and Supabase so operators get clear ownership, migrations, and auditability.
Automation layers often run through n8n or custom pipelines with human approval points. Model work uses OpenAI and Claude where they earn their place, with guardrails, evaluation loops, and observability so agentic systems remain trustworthy in production. The goal is not a longer tools list; it is a stack your team can run after we hand it over.
Want this stack on your next build?
Contact SRP AI Labs