ANTHROPIC AGENCY: INTEGRATE CLAUDE AI WITHOUT BREAKING THE BANK

STEP 1: AUDIT YOUR USE CASE

We start by understanding what you want to achieve with Claude AI and auditing your current setup if you have one.

We identify which tasks should use AI (and which shouldn’t). We analyze your data sources, your existing workflows, and the outputs you need. We review your current prompts if you’ve already started, checking token consumption and result quality.

We also scope which Claude model fits each use case. Opus for complex reasoning, Sonnet for balanced performance, Haiku for high-volume simple tasks. We calculate estimated token costs based on your volume.

We map your technical environment: which tools need to connect to Claude, where data lives, what triggers the AI, and how results are used.

At the end of this step, you have a clear roadmap of what we’ll build, which models we’ll use, and a realistic budget estimate based on actual token consumption projections.

STEP 2: PROMPT ENGINEERING & ARCHITECTURE

We design your prompts and the overall system architecture before writing any code.

We engineer prompts that work consistently. We test with real data, handle edge cases, add examples when needed, and structure system instructions to get Claude to output exactly what you need (specific formats, JSON, structured data).

We optimize token usage by finding the right balance between context and conciseness. We use techniques like few-shot learning, chain-of-thought reasoning, and prompt caching where relevant.

We design the data flow: how information gets to Claude (preprocessing, chunking for long documents, context window management), and how responses are processed (parsing, validation, error handling).

We also architect how Claude connects to your systems: direct API calls, automation platforms (Make, n8n), webhooks, or integrated into your backend via SDKs.

At the end of this step, you have validated prompts that produce the right outputs and a technical blueprint ready to implement.

STEP 3: DEVELOPMENT & INTEGRATION

We build your Claude AI integration and connect it to your stack.

We configure the Claude API with proper authentication, set up rate limiting, implement exponential backoff for retries, and handle all error cases (timeouts, context window exceeded, content policy violations).

We develop the automation workflows or custom code that connects Claude to your tools. We integrate with your CRM, databases, forms, webhooks, and any APIs you use. We ensure data flows correctly and Claude receives the right context for each task.

We implement monitoring and logging. Every API call is tracked with token consumption, response times, and error rates. You can see exactly what Claude costs you in real-time.

We also build safeguards: input validation to prevent prompt injection, output validation to catch hallucinations or malformed responses, and fallback logic when things go wrong.

At the end of this step, you have a functional Claude integration running in a staging environment, ready for testing.

STEP 4: OPTIMIZATION & PRODUCTION DEPLOYMENT

We optimize performance and costs, then deploy everything to production.

We analyze real usage data from testing. We identify which prompts consume too many tokens and refine them. We check if you’re using the right models (maybe Sonnet works where you used Opus, saving 80% on costs).

We implement caching strategies for repeated queries, batch processing for high-volume tasks, and streaming for real-time responses when needed.

We deploy to production with proper security (API keys in environment variables, input sanitization, rate limits per user). We configure monitoring alerts so you know immediately if something breaks or costs spike.

We also train your team on the system: how to monitor usage, when to adjust prompts, how to troubleshoot common issues, and how to scale as volume grows.

At the end of this step, you have a production-ready Claude integration that handles your volume, stays within budget, and runs reliably without constant babysitting.

WHY WORK WITH US?

AN AGENCY THAT USES ANTHROPIC FOR CLIENTS EVERY DAY

At Hack’celeration, we don’t just do Anthropic agency work. We master the whole stack (Make, n8n, Airtable, Notion, APIs, webhooks) and know how to connect Claude to any system you use.

We’re not AI consultants who talk about possibilities. We’re builders who deploy AI systems to production. We’ve integrated Claude into SaaS products handling thousands of queries per day, e-commerce platforms automating customer support in 6 languages, and agencies generating content at scale with 70% cost reduction.

We work with startups building AI-first products who need fast execution, scale-ups adding AI to existing products who need it done right, and agencies automating client work who need reliable systems. We’ve done projects in e-commerce, SaaS, education, professional services, and content production.

We’ve built AI chatbots with context memory and tool use capabilities, content generation pipelines processing 10k+ articles per month with quality control, document analysis systems extracting structured data from PDFs and images, and custom AI agents that execute actions in external tools based on Claude’s reasoning.

We don’t skim features. We give you a system that really works, with optimized prompts that get consistent results, monitoring dashboards to track costs, and advice from actual production deployments.

You work with a team that has deployed dozens of Claude integrations and knows exactly how to avoid the pitfalls: prompt drift, context window issues, rate limits, cost explosions, and all the edge cases that break AI systems in production.