Claude API Integration — Built by the Team Behind ItzSEO
Integrate Anthropic's Claude into your existing app, SaaS, or workflow. Custom prompts, RAG pipelines, tool use, streaming UIs, prompt caching — done by the team that shipped ItzSEO (a Claude-powered SEO platform serving real agencies).
Key Features
Production-Grade Integration
Streaming responses, error handling, retry logic, rate limiting — not a hackathon demo.
RAG + Knowledge Base
Vector search over your docs, code, or data. Pinecone, Postgres pgvector, or whatever you already have.
Tool Use (Function Calling)
Claude calls your APIs, queries your database, sends emails, books meetings — agent-grade tool wiring.
Cost & Safety Optimization
Prompt caching, model routing (Haiku vs Sonnet vs Opus), token budgeting, content moderation.
What's Included
API Wiring
- Production SDK setup (Python, Node, or your language)
- Authentication, retry logic, error handling
- Streaming response UI with React/Vue hooks
- Rate limiting and exponential backoff
- Logging and observability
Prompt Engineering
- System prompts tuned for your use case
- Few-shot examples for consistent outputs
- Output format enforcement (JSON, XML, Markdown)
- Chain-of-thought prompting for complex tasks
- A/B testing setup for prompt iteration
RAG + Knowledge
- Vector embedding pipeline (Voyage, OpenAI, or open-source)
- Vector DB setup (Pinecone, pgvector, Chroma)
- Document chunking and metadata strategy
- Hybrid search (semantic + keyword)
- Citation and source attribution in responses
Tool Use & Agents
- Tool definitions for Claude function calling
- Multi-step agent workflows
- Long-running task orchestration
- Cost tracking and token budgeting
- Prompt caching for repeated context
5 Live Products We've Shipped
Every product below is in production with paying users. Open any link and see what we build.
ItzSEO
AI SEO Workspace + Agency OS — built on Claude. SEO project management, HRMS, client portal, leaderboards in one tool.
Cohort SIS
Student Information System for Canadian private career colleges. Compliance, clock-hour tracking, finance, and admissions in one calm screen.
My Roof CRM
Vertical CRM for roofing companies. Branded proposals, e-signatures, and approved-job-to-invoice workflow.
AI Call Center
AI-powered call assistance platform. Inbound + outbound voice agents, intelligent customer experience orchestration.
Business Proposal
AI proposal generator. Lead discovery, business analysis, proposal drafting, and pipeline tracking.
How We Ship
Use Case & Scoping
30-min call to define exactly what Claude should do in your app. We scope it as a fixed-price project.
Prompt + Architecture Spec
We deliver a one-page spec: system prompts, RAG architecture, tool definitions, cost estimate.
Build & Integration
We write the integration code in your stack, hook it up to your app, test with real data.
Deploy + Monitoring
Production deploy, cost monitoring dashboard, prompt versioning, and 14-day post-launch support.
Modern Tools, Battle-Tested
Why Hire Specialists for Claude API Work
Anthropic's Claude API is powerful but tricky to get right. Naive integrations cost 10x more than they should, hallucinate frequently, and break under load. We've been building production Claude apps since the API launched — and shipped one (ItzSEO) that uses it as the core engine. Here's what changes when you hire specialists.
We Actually Use Claude in Production
ItzSEO.com is our own Claude-powered SaaS. It runs Claude calls 24/7 for SEO research, content briefs, technical audits, and live SERP analysis. Every cost optimization, prompt pattern, and error-handling trick we've learned, we've battle-tested at scale on a paying-customer product.
Cost Optimization (10x Cheaper)
Most Claude integrations route everything to Sonnet or Opus and pay 5-10x what they should. We route by complexity: trivial classifications go to Haiku, mid-tier to Sonnet, only the genuinely hard reasoning to Opus. With prompt caching and chunking, we typically cut Claude bills by 60-90% vs naive implementations.
RAG That Actually Works
Anyone can wire up a vector database. Making it answer accurately is hard. We've built RAG pipelines that handle hallucination, source attribution, and contradiction detection. If a doc says one thing and another contradicts it, our pipelines flag the conflict instead of picking randomly.
Tool Use & Agent Patterns
Claude's tool-use is one of its strongest features but most teams don't use it well. We've built agent workflows where Claude calls 10+ tools in sequence (search a DB, draft an email, book a meeting, update a CRM) reliably — with proper error handling and rollback.
Transparent, Fixed-Price Packages
Packages
- Claude IntegrationFrom $749
From a single endpoint to full RAG, tool use & streaming UI — one fixed price & timeline, scoped to your app after a free audit.
All packages include scoping call, written spec, code handover, documentation, and 14 days post-launch support.
Timeline
Free Dev Audit
30-min call. We scope your project, define success criteria.
Written Spec
One-page spec with deliverables, timeline, and fixed price.
Build & Iterate
Daily Loom updates. You can request changes anytime before final ship.
Ship & Support
Production deploy, code handover, documentation. 14 days free post-launch fixes.
Want a custom quote for your project? Book a free dev audit and we'll deliver a written spec within 24 hours.
Book Free Dev AuditFrequently Asked Questions
Do I need an Anthropic API key?
Yes — you pay Anthropic directly for API usage (typically $5-100/month depending on volume). We integrate with your account so you own all the costs and data. You don't pay us per token.
What's the difference between Claude Haiku, Sonnet, and Opus?
Haiku is fast and cheap (~$0.25/M tokens) — great for simple classifications and quick responses. Sonnet is the workhorse (~$3/M tokens) — handles most production use cases. Opus is the most capable (~$15/M tokens) — used only for the hardest reasoning tasks. We help you route intelligently.
Can you integrate Claude into my existing app?
Yes. We work with Next.js, React, Vue, Django, Flask, Rails, Laravel, Node.js, plain WordPress (via PHP or JS), and pretty much anything else. Tell us your stack.
What's a RAG pipeline and do I need one?
RAG = Retrieval-Augmented Generation. It lets Claude answer questions based on YOUR documents (legal docs, product manuals, knowledge base) without you having to retrain the model. You need it if you want Claude to answer based on specific information that isn't in its training data, accurately and with citations.
Do you handle streaming responses?
Yes — streaming is built into every integration where it makes UX sense. We use Anthropic's streaming API plus React hooks (or your framework's equivalent) so responses appear word-by-word, not as a big delay-then-block.
How do you handle prompt versioning?
We treat prompts like code: every change is version-controlled, tested, and rolled out behind a feature flag if needed. Standard integrations come with a simple admin panel where you can edit prompts without redeploying.
Can you build tool-use / agent workflows?
Yes — this is some of our favorite work. Tool use lets Claude actually take actions: query your database, send an email, schedule a meeting, update a CRM record. We've built multi-step agents that chain 10+ tool calls reliably.
What about MCP (Model Context Protocol) servers?
We build MCP servers as a separate (but related) service — see our dedicated MCP development page. They're worth considering if you want to give Claude reusable access to a set of tools/data sources across many agents.
Ready to Integrate Claude Into Your App?
Book a free 30-min call. We'll scope your Claude integration and quote it within 24 hours.