Product engineering
Products and platforms designed as coherent systems, from architecture to the interface people use.
- SaaS products
- Customer portals
- Web applications
- APIs
- Mobile & desktop
Tervyn designs and engineers custom platforms, AI agents, automations, voice systems and operational software around the way a company actually works.
From the customer-facing experience to the systems operating behind it.
“I need to schedule a consultation next week.”
I can help with that. Which day works best?
Send appointment confirmation and create opportunity?
Many businesses run through a mixture of spreadsheets, WhatsApp messages, generic subscriptions, manual copying and disconnected tools. We replace or connect those fragments with one deliberate operating layer.
AI is one capability inside a complete product and systems practice—not a widget added after the fact.
Products and platforms designed as coherent systems, from architecture to the interface people use.
Automation for repeatable work, with AI used where interpretation—not just rules—is required.
Connected service and sales systems that carry context from the first conversation to the next action.
Operational software that replaces fragmented tools with reliable data and clear responsibility.
Owning products keeps architecture, usability and long-term operation tangible—not theoretical.
A calm, bilingual operating system for modern pharmacies, covering sales, inventory, suppliers, medicine batches, expiry visibility, customers, credit and reporting.

A privacy-first communication platform for communities and teams, with real-time spaces, messaging, presence, voice, video and desktop access.

Client work funds product ambition. Product work sharpens the engineering we bring to clients.
Examples of the systems we can design and deliver—not fabricated case studies.
A clinic website that turns searches into booked appointments.
↗An agent that answers, qualifies and routes calls with a human fallback.
↗A sales system that follows the business instead of forcing a generic pipeline.
↗One controlled system replacing disconnected spreadsheets and manual reconciliation.
↗Cited answers from approved company documents, with access controls.
↗A dashboard consolidating the few systems the business should keep.
↗Product strategy, architecture, interface and production engineering.
↗Map the workflow, constraints, users and failure points before choosing technology.
⌟Reduce scope without producing an incomplete or disposable prototype.
⌟Use permissions, review and auditability where automated actions carry real consequences.
⌟Plan for maintenance, observability, data ownership and change—not only launch day.
⌟Each stage produces an artifact the next stage can rely on. Decisions remain visible throughout the work.
Workflow map and problem definition
Scope, architecture and success criteria
Interface system and tested interaction model
Production implementation, integrations and QA
Deployment, monitoring, support and iteration
The stack follows the product, team and operating constraints. We use proven components without forcing every project into the same architecture.
Astro · React · Next.js · TypeScript
Node.js · Python · Hono · REST / GraphQL
PostgreSQL · Redis · Vector search · Object storage
OpenAI · Anthropic · LangGraph · Evaluations
WebSockets · LiveKit · Supabase Realtime
Vercel · Cloudflare · AWS · Containers
Playwright · Vitest · Sentry · OpenTelemetry
Tell us where work is still being copied, chased, repeated or lost. We will help determine whether the answer is better software, automation, AI or a simpler process.