Getconvi does not build 'apps'. We build production systems that earn their keep.
Shipping beats perfection. AI changes how products are designed. Products exist to drive outcomes, not roadmaps.
The deeper problem
- Feature building vs Product Engineering
- Velocity = (Learning × Iterations) / Time
- Speed without reliability is debt
- Security as an add-on, not architecture
Feature builders ask 'What should we add?'. We ask 'What problem must disappear?'. If it doesn’t move a metric, it doesn’t ship.
GetConvi’s point of view
AI is not a plugin. It’s a layer. Prompt chains as logic. Memory as a first-class citizen.
Build vs Buy vs Automate: If (Core Differentiation) → Build, Else If (Commodity) → Buy, Else → Automate.
Velocity maximizes learning per unit of time.
How we build product-engineering
The Velocity Model
Narrow scopes, fast feedback loops, and AI-assisted development (Cursor, V0). Products go live in days, not quarters.
AI-First Architecture
Agents as services, memory as a first-class citizen, and human override paths standard in every build.
Frontend & Backend Systems
Next.js, Tailwind, Supabase, Postgres. Stateless where possible, observability built-in.
API-First Strategy
Modern products are ecosystems. We design public APIs and event streams to enable automation and partnerships.
We optimize for speed, scale, and reliability, building systems that survive real-world chaos.
What this enables
- Fast UX with low cognitive load
- Horizontal scaling
- Automated agent orchestration
- Secure, role-based access
Why this compounds
Every platform strengthens the core. We reuse shared workflows, infra, and operational patterns. Technology becomes a multiplier, not a rebuild cost.