№ 04 / Service
AI integration
AI features that earn their place in a product — agents, semantic search, recommendations, and in-product assistants with measured impact.
Typical engagement — 4–12 weeks. Includes data pipeline, evaluation harness, and cost/latency budgets before shipping to users.
// Deliverables
- AI agents & workflows
- Semantic search & RAG systems
- Recommendation & personalization
- In-product assistants (chat, voice)
- Model evaluation & observability
// Stack
- Vercel AI SDK · AI Gateway
- OpenAI · Anthropic · Google
- pgvector · Pinecone · Qdrant
- LangGraph · Workflow
- Braintrust · Langfuse