WORK · CASE STUDY LIBRARY

Work that solves real problems.

Engineering case studies, written the way we work: the problem, the constraints, the decisions, the architecture, and how the result is tested and verified.

The library

Client case studies are published once they are approved. The studies below are illustrative concepts: design explorations of real problem types, not delivered client engagements. They describe intended results qualitatively and how each would be verified; no metrics are claimed.

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Showing 6 of 6 case studies

    1. 01Sources

      • Wiki
      • Shared drives
      • Ticket history
    2. 02Ingestion

      • Connectors
      • Chunking
      • Permission sync
    3. 03Retrieval

      • Hybrid search
      • Access filter
      • Re-ranking
    4. 04Generation

      • Grounded prompt
      • Citation check
      • Fallback
    5. 05Experience

      • Answer UI
      • Feedback
      • Expert routing

    CS-01Illustrative concept

    Knowledge, connected.

    • AI
    • Software
    • Cloud
    INDUSTRY
    Professional services
    PROBLEM
    Answers exist across wikis, drives, and ticket history, but people cannot find them quickly, and search ignores who is allowed to see what.
    SOLUTION CATEGORY
    Retrieval-augmented knowledge assistant
    TECHNOLOGY
    • TypeScript
    • Next.js
    • Python
    • PostgreSQL + pgvector
    • LLM APIs
    • OpenTelemetry
    INTENDED OUTCOME
    Grounded answers with visible sources, scoped to each person’s existing permissions, and a clear route to a human expert when the system cannot answer.
    1. 01Systems

      • Orders
      • Finance
      • Warehouse
    2. 02Events

      • Webhooks
      • Polling adapters
      • Event log
    3. 03Orchestration

      • Workflow engine
      • Rules
      • Idempotency keys
    4. 04Operations

      • Exception queue
      • Pause / resume
      • Audit trail
    5. 05Interfaces

      • Ops console
      • Notifications

    CS-02Illustrative concept

    Operations, in sync.

    • Automation
    • Software
    • Web
    • QA
    INDUSTRY
    Operations & logistics
    PROBLEM
    Work moves between systems through re-keying and messages; exceptions surface late and are hard to recover.
    SOLUTION CATEGORY
    Event-driven workflow orchestration
    TECHNOLOGY
    • TypeScript
    • Node.js
    • PostgreSQL
    • Message queue
    • React
    • Playwright
    INTENDED OUTCOME
    Fewer manual handoffs, every exception visible in one place, and failed steps that can be retried without creating duplicates.
    1. 01Device

      • Job list
      • Forms & checklists
      • Photo capture
    2. 02Local data

      • SQLite store
      • Outbox queue
      • Media cache
    3. 03Sync

      • Delta sync API
      • Conflict rules
      • Resumable uploads
    4. 04Backend

      • Jobs service
      • Scheduling integration
      • Media storage
    5. 05Back office

      • Dispatch view
      • Conflict review

    CS-03Illustrative concept

    Field work, offline-first.

    • Mobile
    • Software
    • Cloud
    INDUSTRY
    Operations & logistics
    PROBLEM
    Technicians work where connectivity drops, so paper notes and end-of-day re-entry create delays, gaps, and errors.
    SOLUTION CATEGORY
    Offline-first mobile field application
    TECHNOLOGY
    • React Native
    • TypeScript
    • SQLite
    • Node.js
    • PostgreSQL
    • Object storage
    INTENDED OUTCOME
    Jobs that can be completed fully offline, with records synced reliably and conflicts surfaced to a person instead of silently overwritten.
    1. 01Content

      • Commerce platform
      • CMS
      • Search
    2. 02Edge

      • CDN cache
      • Image optimization
      • Revalidation
    3. 03Application

      • Server rendering
      • Cart & checkout
      • Live price & stock
    4. 04Quality gates

      • Performance budgets
      • Journey tests
      • Accessibility checks
    5. 05Observability

      • Real-user monitoring
      • Error tracking

    CS-04Illustrative concept

    A storefront that holds up.

    • Web
    • QA
    • Cloud
    INDUSTRY
    Commerce & retail
    PROBLEM
    The storefront slows down under campaign traffic, and every release feels risky because changes can break checkout.
    SOLUTION CATEGORY
    Headless storefront and performance engineering
    TECHNOLOGY
    • Next.js
    • TypeScript
    • Headless commerce API
    • CDN caching
    • Playwright
    • Lighthouse CI
    INTENDED OUTCOME
    Pages that stay responsive at peak, an accessible checkout, and releases that ship only after performance and journey checks pass.
    1. 01Change

      • Pull request
      • Risk tags
      • Preview env
    2. 02Fast checks

      • Unit tests
      • Contract tests
      • Static analysis
    3. 03Journey checks

      • Critical E2E
      • Visual diffs
      • Accessibility
    4. 04Release gates

      • Performance smoke
      • Flake quarantine
      • Release report
    5. 05Production

      • Synthetic monitors
      • Error budgets

    CS-05Illustrative concept

    Releases, with evidence.

    • QA
    • Automation
    • Cloud
    INDUSTRY
    Technology & SaaS
    PROBLEM
    Releases slow down because regression testing is manual, and nobody trusts the existing automated suite because it fails at random.
    SOLUTION CATEGORY
    Risk-based test automation and CI quality gates
    TECHNOLOGY
    • Playwright
    • TypeScript
    • Contract testing
    • k6
    • GitHub Actions
    • Docker
    INTENDED OUTCOME
    Fast, trusted feedback on every pull request, and release decisions based on a clear report rather than a manual checklist.
    1. 01Intake

      • Email inbox
      • Upload portal
      • Scanner
    2. 02Understanding

      • OCR
      • Classification
      • Field extraction
    3. 03Validation

      • Schema rules
      • Confidence thresholds
      • Cross-checks
    4. 04Review

      • Review queue
      • Source side-by-side
      • Corrections
    5. 05Systems of record

      • Case system export
      • Audit log

    CS-06Illustrative concept

    Documents, triaged.

    • AI
    • Automation
    • Software
    INDUSTRY
    Professional services
    PROBLEM
    Incoming documents are read, classified, and keyed in by hand; volumes spike unpredictably and errors are caught late.
    SOLUTION CATEGORY
    AI-assisted document intake and extraction
    TECHNOLOGY
    • Python
    • OCR
    • LLM structured outputs
    • PostgreSQL
    • Queue workers
    • React
    INTENDED OUTCOME
    Routine documents processed with human review where confidence is low, and every extracted field traceable to the text it came from.

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