Claude AI integration for real products

We treat a Claude integration as part of your product, not a chat window bolted on the side.

• Claude API integration: generation, summarisation, classification and analysis features added to your web app or backend through the Anthropic API.
• Claude agents: workflows where Claude calls tools you define to complete multi-step tasks, for example reading a request, opening a CRM record, checking stock and drafting a reply.
• MCP server development: the Model Context Protocol is an open protocol that gives language models a standard way to connect to external systems. We expose your internal database, documents or APIs to Claude and other MCP-capable clients through a secure MCP server.
• Document processing: pipelines that read long contracts, reports and PDFs and produce summaries, risk lists or structured data.

Used well, the Claude API offers mature features for production systems. We rely on them in our projects:

• Tool use: you give Claude function definitions, the model decides which tool to call with which arguments, and your code runs it. Authority always stays with you.
• Structured outputs: responses are constrained to a JSON schema so they can be written straight to a database.
• Prompt caching: long system prompts and frequently used documents are cached, cutting both cost and latency.
• Streaming: answers appear as they are generated, so the interface feels fast.

Anthropic updates its model line-up and pricing regularly, so at the start of each project we test the current models on your data and pick the best fit.

We decide up front exactly what data goes to Claude. A middleware layer can mask personal data, role-based access controls who can trigger what, and every call is logged. We limit what agents are allowed to do and require human approval for irreversible actions such as payments, deletions or bulk email. We document the data flow so you can meet GDPR or, for Turkish operations, KVKK obligations.

To keep spend predictable we size the model to the task, use prompt caching and set per-user and per-day limits.

We listen to your needs in a short call before sending a free quote. Scope depends mostly on:

• How many systems Claude connects to (database, CRM, email, file storage).
• How many tools an agent uses and which actions need approval.
• Interface needs: a module inside your existing dashboard or a standalone app.
• How much testing and evaluation the use case demands.

Typical timelines: a single Claude feature takes 1–3 weeks, an MCP server 2–4 weeks, and a multi-tool agent system 4–10 weeks. Larger projects can be split into phases that fit your budget.

Our founder, Habip Dayan, is an engineer who has built LLM systems and multi-agent architectures on Google Cloud. We use the Claude API daily in our own development work and products, so we know from practice where the model excels and where it needs guardrails. We are not an Anthropic partner; we are an independent software company that builds what works best for you.

We are a small, senior team and you talk directly to the developer. Our stack is Next.js, React, Node.js, TypeScript, Firebase and Vercel. We are based in Turkey and work with clients around the world.