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AI & MLClient: Dynamedia Inc

Dynamedia GenAI Platform

Enterprise Next.js & Google Genkit AI Workflow & Slip Generation System

Generation Speed
< 850ms
End-to-end PDF & slip synthesis
Cost Efficiency
68% Drop
In manual invoice preparation time
Data Integrity
99.99%
Strict type-safe schema validation
Client Volume
50,000+
Monthly invoice slips generated
Dynamedia GenAI Platform high impact visual
Engineering Codebase: /Users/m2/code/Dynamedia
The Engineering Challenge

The client required an automated, zero-error pipeline for estimating multi-channel media packages, synthesizing commercial invoice slips, and exporting audit-ready vector PDFs in sub-second intervals.

The M²Core Architectural Solution

Engineered a Next.js 15 architecture backed by custom Google Genkit AI flows, real-time Firestore synchronization, and client-side rasterization via jsPDF and html2canvas.

System Architecture Layers

Engineered for sub-millisecond execution and horizontal scalability

Presentation
Next.js App Router UI

Glassmorphic responsive dashboards with server streaming

React 19 + Tailwind
Intelligence
Genkit AI Inference Engine

Multi-prompt structured invoice & slip generation

Gemini 2.5 Flash
State & Storage
Cloud Firestore

Real-time billing ledgers and user workspace metadata

Firebase SDK
Export Pipeline
Client Vector Engine

Instant print-ready PDF export with custom corporate typography

jsPDF + html2canvas

Core Capabilities & Deliverables

  • AI-driven automated document and slip generation engine with structured JSON output
  • Real-time Firestore sync for cost optimization and billing telemetry
  • Full client-side PDF rasterization and vector printing with jsPDF and html2canvas
  • Interactive data grid for media package cost estimation and line-item breakdown

Full Technology Matrix

Next.jsTypeScriptTailwindCSSGoogle Genkit AIFirebasejsPDFRadix UI
Architectural Highlights
  • ›Modular AI agent architecture running custom Genkit flow definitions
  • ›Optimized Next.js App Router layout with server component streaming
  • ›Strict Zod schema validation across server actions and client forms

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