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Generative AI that carries the repetitive work

Your team shouldn't spend days drafting variants and hunting docs. I wire LLM content pipelines, RAG assistants, and generative personalization into your existing stack — so your people focus on strategy, not production.

What's included

LLM Content Pipelines

Generate on-brand ad copy, emails, and landing pages from product feeds in seconds. Your team ships 5x more campaigns without burning out.

RAG Knowledge Assistants

Chat over your product docs, FAQs, and warehouse. Sales and leadership get instant, sourced answers — no SQL, no doc-hunting.

Generative Personalization

Dynamic email, SMS, and on-site messaging drafted from CRM context for every segment. Same strategy, every customer feels 1:1.

Reporting Narratives

LLMs turn warehouse numbers into plain-English summaries and next-step drafts, so stakeholders act without waiting on analysts.

How it works

// Generative AI Pipeline
// 1. Ground on your data via RAG
const context = await warehouse.search(user.segment);

// 2. Generate on-brand personalization
const offer = await llm.generateOffer({
  segment: user.segment,
  history: context,
  brandVoice: "concise, helpful"
});

// 3. Trigger automated send
await crm.trigger("winback", offer.text);

// Results:
// → 60% faster content production
// → 1:1 personalization at scale
// → Team focused on strategy

Technologies

OpenAI, LangChain, Pinecone, Flowise, Gemini AI Studio, Ollama, n8n, Python, custom LLM workflows

Ready to add generative AI to your stack?

Most teams don't know where generative AI will have the biggest impact. Let's talk through your business goals and figure out which content or knowledge workflow to automate first.