Custom Claude API integration for business applications. Long document analysis, content review, customer support. 200K context window. Prompt engineering and production deployment. Freelance developer in Barcelona.
Claude excels at long documents (200K context), nuanced analysis, and safety-critical applications. I integrate Claude into your business with prompt engineering, caching, and production reliability. From EUR 2,000.
Claude 3.5 Sonnet offers the best combination of quality, speed, and safety for business applications. Its 200K context window means it can process entire documents, contracts, and reports in a single request. Claude is also less likely to hallucinate on factual questions and follows safety guidelines more reliably than alternatives.
I integrate Claude using the Anthropic Python SDK with proper streaming, caching, and error handling for production use.
Long document analysis: Claude processes 200K tokens (roughly 150,000 words) in a single request. Feed it entire contracts, research papers, or code repositories and ask specific questions.
Content review and moderation: Claude excels at nuanced content evaluation: compliance checking, brand voice verification, factual accuracy assessment, and sensitive content detection.
Customer support: Claude generates thoughtful, helpful responses that handle ambiguity well. Less likely to provide incorrect information compared to GPT models for safety-critical support scenarios.
Streaming responses: Claude supports server-sent events (SSE) for real-time streaming. Users see responses appear word-by-word instead of waiting for the full completion. I implement streaming through Django Channels with WebSocket support for sub-100ms first-token latency.
Context window management: Claude processes 200K tokens but costs scale with input size. I implement smart context windowing: summarize older conversation history, retrieve only relevant document chunks, and dynamically adjust context based on query complexity.
Multi-model fallback: If Claude API is unavailable (rare but happens), the system automatically falls back to GPT-4o. Prompt templates are maintained for both models with model-specific formatting. Users never see downtime.
Tool use integration: Claude supports tool use (function calling) for structured interactions: database queries, API calls, calculations, and code execution. I design tool schemas that give Claude precise capabilities while maintaining safety boundaries.
Single Integration (EUR 2,000-3,500): One Claude feature with prompt engineering and production deployment. 2-3 weeks.
Multi-Feature Platform (EUR 5,000-8,000): Multiple Claude features, model routing with GPT-4 fallback, monitoring. 4-6 weeks.
API costs: Claude 3.5 Sonnet: EUR 3/M input, EUR 15/M output tokens. Claude 3 Haiku: EUR 0.25/M input for lightweight tasks.
Claude 3.5 Sonnet is better for: long documents (200K context vs 128K), nuanced analysis, safety-critical applications, and content that requires careful reasoning. GPT-4o is better for: structured output (JSON), code generation, and tasks requiring broad world knowledge. Many production systems use both with routing.
Anthropic offers a Data Processing Agreement (DPA) and does not train on API data. For EU data residency, I combine Claude API with data preprocessing that removes PII before sending to the API. For strictest requirements, open-source models like Llama can be used as fallback.
Tell me about your use case and I will recommend the best Claude model configuration.
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