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LLM Marketing Automation — Vibranium Bytes
Marketing · AI

LLM Marketing Automation

Client
Marketing Agency Network
Timeline
8 weeks
Stack
Laravel · React · OpenAI GPT-4o · Redis · MySQL
Result

70% time saved, 15 clients, consistent brand voice

The challenge

What we were up against

A marketing agency was producing content for 15 clients but struggling with consistency, turnaround time and brand voice adherence. Writers spent 4-6 hours per blog post and still required 2-3 revision rounds. They needed AI assistance that understood each client's brand guidelines.

Solution

What we built

We built a multi-tenant content generation platform with brand-specific AI profiles, a human-in-the-loop approval workflow, and multi-channel output (blog, social media, email). Each client has a trained brand voice profile that ensures consistency across all generated content.

Approach

How we did it

Week 1-2: Built brand voice profiling system using few-shot learning on client content samples.
Week 3-4: Created the content generation pipeline with outline → draft → refinement stages.
Week 5-6: Built the approval workflow UI with version tracking and comment system.
Week 7-8: Added multi-channel output formatting and client dashboard.

Outcome

The results

Content production time reduced by 70%. The platform now serves 15 clients with consistent brand voice across all outputs. Human editors spend 30 minutes reviewing instead of 6 hours writing from scratch.

Architecture

System architecture

Documents ingested, embedded, stored in a vector database, retrieved with precision and validated before reaching the user.

Ingest PDF · API · DB Embed Vectorize Vector DB Store & Index Retrieve Semantic Search LLM Generate Validate Grounding Check Respond Cited Answer 01 02 03 04 05 06 07 Core AI Pipeline Infrastructure
Stack

Technology used

Laravel React OpenAI GPT-4o Redis MySQL
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