AI Engineering
Turn AI prototypes into production-ready builds, add targeted AI features to existing websites and stores, or rescue unstable AI-generated code.
Standard
AI Support Chatbot
Add an AI chatbot to your website – trained on your content and ready to use in 1–2 weeks
$999
Timeline
- 1-2 weeks
Included
- LLM setup: OpenAI, Claude, or Gemini
- Connected to your existing content: site pages, FAQ section, product catalog, or a document you provide (PDF, Google Doc)
- Prompt configuration: personality, tone, what it can and cannot answer (fallback rules)
- Embedded into your existing website: chat widget or inline element
- Basic usage tracking: conversations, handoffs
- QA: 20+ test scenarios
- 1 revision
Not Included
- Custom model training
- Multiple AI features
- RAG / vector search architecture
- Multi-language
- Voice interface
- CRM / ERP integrations
- Backend development
Deliverables
- Working chatbot on the site
- Configuration documentation (what it knows, how it behaves)
- Cross-browser and cross device QA checkup
- Guide: how to update content the chatbot uses
Platforms / Stack
Any site with code access or widget embed support including:
- WordPress, Shopify, Webflow, HubSpot, React, Vue, Next.js
LLMs:
- OpenAI, Anthropic Claude, Google Gemini
Advanced
Advanced AI Implementation
Build advanced AI – from advanced chatbots and AI search (RAG) to full AI-powered products
On brief
(defined after discovery)
Timeline
- On brief (defined after discovery)
Typical use cases
- Advanced chatbot (multi-source, strict guardrails, custom logic)
- Semantic / AI-powered search across content
- RAG architecture with vector DB
- Recommendation engines
- AI-driven product discovery / navigation
- Custom model fine-tuning
- Multi-language AI systems
- CRM / ERP / PIM integrations
- AI as a core product feature, not a website widget
Not Included
- Design scoped separately if redesign is needed
Deliverables
- Production AI system
- Architecture documentation
- QA and performance report
- Maintenance & update guide
Platforms / Stack
LLMs:
- OpenAI, Anthropic, Gemini, Mistral, open-source models
Vector DB:
- Pinecone, Weaviate, pgvector, Chroma
Integrations:
- HubSpot, Salesforce, Zoho, SAP
Stack:
- Any stack based on requirements.