Human-reviewed AI
Keep generated output editable and reviewable before it becomes accepted workflow data.
STUDIO BUILD / AI Knowledge Workspace
KnowledgeCopilot
An internal AI knowledge workspace for retrieval, source-backed answers, saved research and team review.
PORTFOLIO TYPEVibecoading studio build
INDUSTRYKnowledge Management
COMPLETEDMay 2025
TIMELINE12 weeks
PROJECT OVERVIEW
KnowledgeCopilot is an original Vibecoading Studio Build for knowledge management workflows. The concept is designed as a production-style product case study, covering the customer-facing experience, operating workflows, permissions, data boundaries and administrative controls that a real implementation would require.
Studio BuildStudio ConceptKnowledge Management5 person team
TECHNOLOGY STACK
Next.js
Python
OpenAI
Qdrant
PostgreSQLTOOLS & DELIVERY
Next.jsPythonOpenAIQdrantPostgreSQLFigmaGitHubPostmanVercelSupabase / DB toolingQA test matrix
DELIVERABLESProduct strategyUX / UI designResponsive web or app flowsAdmin operationsData modelIntegration boundariesQA matrix
PLATFORMSWebResponsive
PRODUCT FEATURES
Designed around real jobs, states and decisions.
Structured output
Turn unstructured input into fields, summaries and next actions.
Source context
Keep useful supporting context visible around AI-assisted decisions.
Exception states
Expose missing information and uncertainty instead of hiding it.
Operational history
Retain important prompts, revisions and review activity for traceability.
Permission-aware access
Separate end-user, reviewer and administrator responsibilities.
THE BUILDFrom friction
From friction
to working system.
KnowledgeCopilot is an original Vibecoading Studio Build for knowledge management workflows. The concept is designed as a production-style product case study, covering the customer-facing experience, operating workflows, permissions, data boundaries and administrative controls that a real implementation would require.
DISCIPLINESProduct strategyUX / UI designFrontend engineeringBackend architectureQA planning
SERVICES PROVIDEDWeb app developmentAI product developmentKnowledge Management
Challenge
Teams in knowledge management often spread important work across spreadsheets, messages and disconnected tools. KnowledgeCopilot explores how that fragmented workflow can be turned into one clear product experience with visible ownership, status and next actions.
Solution
We designed KnowledgeCopilot around the highest-frequency jobs first, then added the supporting admin, search, notification, analytics and integration states needed to make the experience believable beyond a single polished screen.
Result
The Studio Build demonstrates a maintainable product pattern for knowledge management teams: focused user journeys, explicit operating states, responsive behavior and a system structure that can be extended without rebuilding the interface from scratch.
SYSTEM ARCHITECTURE
The product is more than its screens.
Interface, application logic, data boundaries and operational controls are designed as one system.
Experience layer
Responsive interface states, navigation and information hierarchy built around the primary workflow.
Application layer
Business rules, validation, orchestration and permission checks separated from presentation concerns.
Data & integration layer
Structured persistence and external service boundaries with explicit failure handling.
Operations layer
Admin controls, observability and release tooling so the system can be operated after launch.
PRODUCT SCREENS
Five views of the product system.
Original Vibecoading interface visuals created for this case study: overview, workflow, analytics, detail and responsive states.
DELIVERY PROCESS
How the system gets shaped.
Discover
Map users, constraints and the commercial or operational outcome before defining features.
Prototype
Validate information hierarchy, key states and the smallest useful workflow.
Engineer
Build interface, application logic, data model, permissions and integrations as one system.
Verify
Test critical journeys, responsive behavior, access rules and error states.
Measure
Instrument meaningful events and use feedback to choose the next valuable iteration.
HAVE A SIMILAR WORKFLOW?
We can turn it into a product system.
Bring the messy process, product idea or operational problem. We will help shape the useful core, the interface and the system underneath it.
Start a project ↗