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AGENTIC AI PROJECTS

Alwakala AI.

Brand-aware content workflows, from planning and generation to quality checks and publishing.

Alwakala AI project preview
MY ROLE

Full-stack development & AI workflows

FOCUS

OGz Studios · Multi-agent content platform

TOOLS & TECHNOLOGIES

Next.js · TypeScript · n8n · Supabase · RAG · LangChain

01 / THE CONTEXT

The problem

Producing consistent content for multiple brands means coordinating brand context, planning, writing, and review across many separate steps.

02 / THE APPROACH

The solution

A RAG-based multi-agent platform connects brand onboarding, content planning, generation, quality checks, and publishing. Alwakala is the live product associated with the OGz Studios project.

03 / MY CONTRIBUTION

What I built

  • Orchestrated 11 n8n workflows and 18 content chains using GPT-4o and Claude.
  • Connected brand context with retrieval using Supabase and Qdrant.
  • Added schema validation for model responses before they move through the workflow.
THE RESULT

What it brings together

Reduced nightly content generation for approximately 60 brands from about 18 hours to about 2 hours, as reported in my resume. Schema validation keeps model outputs structured before they move through downstream steps.

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