01
Product experience
Interfaces people can complete work in
Responsive product interfaces, dashboards, account flows, and operational tools shaped around the critical user journey.
- Next.js
- React
- TypeScript
- Tailwind CSS
Technology capabilities
A production stack selected for the workload.
We combine product engineering, AI integration, controlled data access, and repeatable delivery. The requirements decide the tools, not the other way around.
System architecture map
Five layers from user action to production operation.
A dependable product needs more than a frontend and an API. Access rules, AI evaluation, failure handling, deployment, and ownership have to connect across the system.
Next.js
React
Node.js
FastAPI
OpenAI
Anthropic
PostgreSQL
Supabase
Vercel
Docker
Recognizable tools, connected by explicit product boundaries
02
Application and APIs
Business rules and integration boundaries
Service layers that enforce product rules, coordinate integrations, and keep important decisions away from the browser.
- Node.js
- FastAPI
- Django
- REST
- WebSockets
03
AI and automation
Evaluated intelligence inside the workflow
Retrieval, structured outputs, agents, and automations with explicit permissions, evaluation cases, and human escalation.
- OpenAI
- Anthropic
- LangGraph
- RAG
- MCP
- n8n
04
Data and access
A controlled source of truth
Relational data, geospatial queries, queues, caching, and authorization designed around who can read or change each record.
- PostgreSQL
- Supabase
- PostGIS
- Redis
- Vector search
05
Delivery and reliability
A repeatable route to production
Automated checks, deployment configuration, monitoring, migration planning, and operating documentation for the handed-over system.
- Vercel
- Docker
- AWS
- GitHub Actions
- Playwright
Selection principles
Why the architecture matters more than a logo list.
A familiar framework can still produce a fragile system. We evaluate where data lives, who can act, what happens when a provider fails, how quality is measured, and who will operate the product after handoff.
Requirements before frameworks
The stack follows the workload, data boundary, team constraints, and operating model.
Controls near the risk
Authorization, validation, and irreversible actions live at trusted boundaries, not only in the interface.
Evidence before launch claims
Tests, evaluation cases, query evidence, and deployment checks replace broad claims about readiness or scale.
Ownership after handoff
The repository, deployment configuration, documentation, and operating context remain with the product owner.
Technology fit
Bring the workload, constraints, and current codebase.
We can review an existing stack, identify the risky boundaries, and recommend the smallest architecture change that meets the requirement. A rebuild is proposed only when the evidence supports it.
[ Ready when you are ]
Choose the architecture after the risks are visible.
Share the product, repository, or workflow. We will identify the constraints that should drive the stack and propose a concrete review or delivery scope.