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ZTZayanTech.dev
Service

Custom AI Agents

AI agents that work your business logic — not generic chatbots.

We build production AI agents with RAG (retrieval-augmented generation), tool-calling, multi-step reasoning, and integration with your existing data and systems. Sales agents, support agents, research agents, and internal ops agents — trained on your content, connected to your APIs.

What this includes

  • RAG pipeline (pgvector semantic search)
  • Document ingestion (URLs, PDFs, CSVs, sitemaps)
  • Multi-model AI routing (GPT-4o / Claude / Gemini)
  • Tool-calling (book calendars, create CRM records, send emails)
  • Embeddable widget (<20KB)
  • HMAC-secured webhooks for agent events
  • Analytics dashboard (conversations, leads, top questions)
  • White-label / agency deployment option

Who it's best for

  • SaaS products needing AI chat on their site
  • E-commerce stores needing AI product assistants
  • Businesses with large knowledge bases (docs, FAQs, products)
  • Agencies wanting to white-label AI chat for clients

Features included

RAG on your content

Your URLs, PDFs, docs → OpenAI embeddings → pgvector. The agent answers questions about your specific product, not general knowledge.

Tool-calling agents

Agents that do things: book a Cal.com slot, create a lead in your CRM, send a WhatsApp, look up order status in Shopify.

Multi-model routing

Route conversations to GPT-4o-mini for simple FAQs and Claude 3.5 Sonnet for complex sales conversations — balance quality and cost.

2-line embed

Deploy on any site with a single script tag. Under 20KB, loads async, shadow DOM — no conflicts with the host site.

Tech stack

Next.jsSupabasepgvectorOpenAIClaudeGeminiStripeVercel

Proof in production