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Selected Demonstrations

Built around real problems.

Voyxer doesn't have verified client projects to show yet. The projects below are internal demonstrations — built to show how we approach a problem, not as proof of a past client outcome.

orders_analytics.tsx
Live Sync
Total Orders
2,483
+12.4%
Active
312
In flight
Inventory
98%
Healthy
Internal Tools · Web applicationInternal demonstration

Operations Dashboard

A consolidated operations dashboard concept for a growing business tracking orders, inventory, and team tasks in one place.

  • Next.js
  • PostgreSQL
  • Charts
Engineering Specs & Details↓

Problem

Growing businesses often end up tracking orders, inventory, and team tasks across several disconnected spreadsheets and tools, which makes it hard to see the current state of the business at a glance.

Solution

A single internal dashboard that pulls the key operational numbers into one place, with role-based views for different teams.

How it works

Data is organized into orders, inventory, and tasks modules, each with its own data model, surfaced through a shared dashboard shell with filtering and basic charting.

Engineering decisions

Chose a relational database for the ordering/inventory relationships and a server-rendered dashboard shell to keep the initial load fast for data-heavy views.

Status
Prototype
Technologies
Next.js, PostgreSQL, Charts
knowledge_agent.py
Vector RAG
Matched Query:

"Multi-tenant OAuth session expiry and refresh"

Grounding Citation99.4% Match

Grounded from docs/auth-specification.md: automatic PKCE refresh.

AI & Automation · AI assistantInternal demonstration

Support Knowledge Agent

A knowledge-base assistant concept that answers customer questions from approved documentation.

  • RAG
  • Vector search
  • LLM tool use
Engineering Specs & Details↓

Problem

Support teams spend a lot of time answering the same questions that are already covered in existing documentation, but customers rarely find the right page themselves.

Solution

An assistant that retrieves relevant passages from approved documentation and uses them to answer customer questions directly, with sources shown alongside each answer.

How it works

Documentation is indexed into a vector store; incoming questions are matched against it, and the assistant composes an answer grounded in the retrieved passages rather than from memory alone.

Engineering decisions

Favored retrieval-grounded answers with visible sources over a free-form chatbot, so answers stay traceable to the underlying documentation.

Status
Prototype
Technologies
RAG, Vector search, LLM tool use
workflow_pipeline.jsonAutomated
01
Intake
02
Validate
03
Transform
04
Dispatch
Business Automation · Workflow platformInternal demonstration

Multi-Step Automation Platform

A concept platform for chaining business automations — intake, validation, routing, and notification — into one configurable workflow.

  • Workflow engine
  • Webhooks
  • API integrations
Engineering Specs & Details↓

Problem

Many businesses automate individual steps of a process with separate tools that don't talk to each other, so someone still has to manually move information between them.

Solution

A single configurable workflow that chains intake, validation, routing, and notification steps together, so one event can trigger the full sequence automatically.

How it works

Each step is a discrete, testable stage with its own inputs and outputs; stages are connected through a workflow definition that can be reconfigured without rewriting the underlying integrations.

Engineering decisions

Designed stages to be independently testable and swappable, so a single misconfigured integration doesn't require reworking the whole workflow.

Status
Concept
Technologies
Workflow engine, Webhooks, API integrations
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