OJCLabs
Case studies

Real builds. Real constraints. Real numbers.

Each case study shows the constraint, the architecture we built, and what changed in performance and revenue visibility after deployment.

Review the constraint, the architecture, and what changed after deployment. That can mean a headless website infrastructure, an AI automation system, a conversion tracking system, or a content automation system.

Mechanical evidence ledger with sealing press and measurement weights representing verified case-study results.

Measured proof

Every project starts with a broken constraint. These are what we found and what we fixed.

Baselines, implementation decisions and verified outcomes turn every claim into a durable account of measured change.


How to read these

Each case study documents:

  • The business constraint.
  • The system architecture.
  • The implementation path.
  • The technical bottleneck.
  • The measured impact.

No testimonials. No fluff. Only systems under pressure.


AWENE logo

AWENE

AWENE — Multilingual coaching infrastructure built for day-one operations.

AWENE — Perimenopause coaching platform for Dr. Amira Medimagh. Multilingual headless CMS, trilingual routing (FR/AR/EN), operational from day one.

2 languages. 1 codebase. 0 hardcoded domains.

View AWENE case study →
Abstract AI computation cluster visualization representing autonomous media pipeline

AI Automation + Content Systems

Autonomous Media Brand — Zero-touch publishing system. 50+ articles/week, no editors.

A media publishing system that takes one RSS input, turns it into platform-ready assets, and distributes it without manual production work.

System Type AI Automation + Content Systems

100% autonomousDaily publishing
4Platforms automated
8 min/episodeProduction time

Architecture Automation Layer • Event-Driven • Containerized • Multi-Platform Distribution

Personal Media Brand12 weeks1 engineer
Read breakdown →
MIC logo

Infrastructure Systems

MIC Consulting — Headless rebuild. 1.4s load time. Multilingual SEO that stopped breaking.

A headless website rebuild for a consulting firm that needed faster performance, cleaner multilingual routing, and technical SEO that would stop breaking.

System Type Infrastructure Systems

92Lighthouse performance
100SEO score
1.8sLoad time

Architecture Headless CMS • SSR • i18n Routing • Edge CDN

Public Health Consulting Firm10 weeks2 engineers
Read breakdown →
Abstract data grid pattern representing digital transformation system architecture

Growth Engineering + Infrastructure

PMJ Steel — Lead-to-revenue pipeline built for a B2B sales team with low digital literacy.

A growth system for a steel distribution business that needed a working digital infrastructure, faster lead handling, and visibility from campaign to revenue.

System Type Growth Engineering + Infrastructure

65%Lead qualification rate
40%Campaign conversion
80%CRM adoption

Architecture CRM Integration • Automation Layer • Paid Acquisition • Analytics Pipeline

Traditional Manufacturing (Steel Distribution)16 weeks2 engineers
Read breakdown →
Futuristic data tunnel visualization representing automated video rendering pipeline

Experimental Builds

AI Video Pipeline — Script to published video. Zero manual steps. n8n + Wav2Lip + ffmpeg.

An AI rendering system that turns text into finished video with automated voice, footage selection, caption timing, and export.

System Type Experimental Builds

<60 sec/videoProduction time
100%Automation coverage
99.8%Media sync accuracy

Architecture Containerized • Event-Driven • Media Processing • API Orchestration

Internal R&D / Content Creators6 weeks1 engineer
Read breakdown →
Futuristic AI system interface representing automated data enrichment architecture

AI Automation

AI Enrichment Engine — Supabase + GPT. Auto-metadata, internal linking, entity structure at scale.

An AI enrichment engine that turns raw content into structured SEO records with metadata, internal links, and usable taxonomy.

System Type AI Automation

200 records/hrProcessing speed
96%Metadata accuracy
85%Internal link coverage

Architecture Serverless • Event-Driven • AI Orchestration • Vector Search

Internal Tooling / Content Operations4 weeks1 engineer
Read breakdown →

System breakdown

What you can expect from an OJC Labs engagement.

Architecture Layer

  • Frontend frameworks (Next.js, SSR, SSG)
  • Headless CMS integrations
  • API orchestration
  • Containerized processing
  • Edge caching and CDN
  • Structured data systems

Automation Layer

  • Workflow orchestration
  • AI enrichment pipelines
  • Event-driven triggers
  • Internal linking engines
  • Content distribution systems
  • Media rendering pipelines

Measurement Layer

  • Structured analytics tracking
  • Server-side event capture
  • CRM attribution mapping
  • Performance monitoring
  • System health dashboards
  • Validation logic

Every system is layered. Frontend, automation, and measurement operate independently but communicate through defined interfaces.


Engineering principles

How we approach system design.

Constraint First

We identify what is breaking before we design what is impressive.

Automation Before Labor

If a process repeats, it becomes a workflow.

Structure Before Scale

Unstructured systems collapse under growth.

Measurement Before Expansion

If it cannot be traced, it cannot be improved.


Common questions

Before you draw conclusions.

  1. Are these results real or projected?

    Real. Every metric in every case study is a measured operational outcome from a deployed system running under live conditions. We do not publish projections, estimates, or pre-launch figures.

  2. Can I see work similar to my industry?

    Filter by system type. The architecture patterns transfer across industries — the constraint is what matters, not the vertical. Infrastructure problems behave the same whether you are in media, e-commerce, or SaaS.

  3. Can you share more technical detail on a specific build?

    Yes. Book a call and ask directly. We can walk through the architecture decisions, stack choices, and trade-offs of any published case study in as much depth as you need.

  4. Do you publish all your work?

    No. Some engagements are under NDA. What you see here is representative — the constraint categories, system types, and outcome ranges reflect the full scope of work.

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Ready to build

Need similar architecture?

We design infrastructure for operators building for scale. If your constraint is technical, architectural, or operational, let's map it properly.

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Response time: 24–48 hours. Direct architecture discussion.

OJC Labs builds systems that survive load, automation, and iteration.