← The AI Advantage Sprint

Embed intelligence in your product

LLM Integration

Integrate large language models into your product — chat interfaces, content generation, summarization, and intelligent assistants with guardrails.

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Research & discovery

  • Use case definition and prompt requirements
  • Model selection (GPT-4, Claude, open-source)
  • Latency and cost per request analysis
  • Content safety and moderation needs

Development approach

  • Prompt engineering and evaluation framework
  • API integration with streaming responses
  • Guardrails for output safety and relevance
  • Caching and cost optimization strategies

Recommended tech stack

OpenAI

LLM

GPT models for production AI features.

Node.js + TypeScript

Backend

API layer with rate limiting and caching.

Redis

Cache

Response caching for cost reduction.

PostgreSQL

Database

Conversation history and usage tracking.

Key features

  • Chat and assistant interfaces
  • Content generation and summarization
  • Output guardrails and moderation
  • Usage analytics and cost tracking

Deliverables

  • LLM integration prototype
  • Prompt library and evaluation results
  • Production API integration
  • Cost and usage monitoring setup

Other application types

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Tell us about your project and we'll map the right approach, stack, and timeline.

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