ANTHROPIC AGENCY FOR CLAUDE-POWERED PRODUCTS THAT SHIP
Hack'celeration is an Anthropic agency that builds production-grade Claude API integrations. The team ships chatbots, long-document pipelines, agentic workflows, prompt caching and private fine-tunes on Claude Sonnet 4.5 and Opus 4.7. Average latency cut by 41% via prompt caching, with token costs down 65% across most use cases.
Want Claude in production without burning tokens?
Why pick an Anthropic agency that builds for prod
Claude is the model of choice when you care about reasoning quality, long context and lower hallucination rates. Hack'celeration has shipped 35+ Anthropic API integrations in 2025, on AWS Bedrock, Google Vertex and direct Anthropic API. The team knows the gotchas: tool use loops, prompt caching gotchas with system prompts, 200k context cost spirals, MCP server design, structured output reliability.
What you get: working Claude integrations, not slide decks. Production code, retries, fallbacks, logs, observability via Langfuse or Helicone, and a runbook your team can read. A field note: 8 out of 10 Claude integrations the team audits do not use prompt caching, which leaves 50 to 90% of token cost on the table on long system prompts. Fixing it is a 30 minute job. Crosslinks: AI agency, AI agent agency, Claude Code agency, OpenAI agency for multi-provider routing.
What the team delivers on the Anthropic stack
Claude API integration. Working integrations across the Anthropic SDK (Python, Node, TypeScript), AWS Bedrock and Google Vertex. Auth via API key or AWS SigV4, region selection (us-east-1, eu-central-1 for EU data residency), retries with exponential backoff, structured logging. The team picks Sonnet 4.5 for speed and cost, Opus 4.7 for reasoning-heavy tasks, Haiku for high-volume cheap calls.
Long context and prompt caching. Claude's 200k token context window unlocks long-document use cases (contracts, manuals, research papers). The team designs caching strategies that hit 90%+ cache rates on system prompts and reference docs, cutting cost by up to 90% on repeated queries. Quick win: cache your 8k token system prompt and your team's top 20 reference documents. Saves 40 to 70% of monthly Anthropic bill.
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Tool use and agents. Claude's tool use API is the cleanest of any model. The team designs tool schemas, handles parallel tool calls, manages tool-use loops with proper termination, and ships agents that call into your internal APIs (CRM, ticketing, ERP). MCP (Model Context Protocol) servers built in-house for reusable tool catalogs across agents. Crosslink: AI agent agency.
RAG and private fine-tunes. RAG pipelines on Pinecone, Weaviate, Qdrant or pgvector, with chunking strategies tuned per document type. The team also runs prompt-based fine-tuning patterns (few-shot, chain-of-thought) and integrates with Claude's batch API for offline scoring at 50% cost. Real fine-tuning weights are not yet public on Claude; the team uses Anthropic's prompt customization features and recommends fallback to fine-tuned open models (Llama, Mistral) when true fine-tuning is required.
How the team rolls Claude into prod in 5 weeks
Week 1: use-case audit and model selection. Sonnet 4.5, Opus 4.7 or Haiku depending on speed, cost and reasoning needs. Prompt engineering on 3 to 5 representative tasks. Week 2: API integration, retry logic, observability via Langfuse or Helicone, structured output testing. Week 3: prompt caching strategy, RAG pipeline if needed, batch API for offline workloads. Week 4: tool use, MCP servers for reusable tools, agent loops with termination conditions. Week 5: load testing, eval suite (Promptfoo or in-house), runbook for your team. Quick win: add Langfuse on day 1. Without observability, debugging a Claude agent in prod is guesswork.
Claude API across every business team
Sales and revops. Long-context analysis of sales calls (Gong, Modjo) and CRM history. Claude summarizes 20-minute calls into account briefs, extracts next steps, scores deal health. Integrated with HubSpot and Salesforce via API. Crosslinks: HubSpot agency, Salesforce agency.
Customer support. Claude-powered ticket triage, auto-draft replies, escalation classification. Sonnet 4.5 hits 88 to 94% accuracy on intent classification across 30+ categories in the team's benchmarks. Integrated with Zendesk, Intercom, Front. Human-in-the-loop for sensitive cases.
Product and engineering. Claude Code in IDEs (Claude Code agency), code review agents, internal documentation chatbots over Confluence and Notion. The team also ships Claude-powered observability assistants that read logs and propose fixes inside Slack.
An Anthropic agency on the frontier of Claude
Claude moves fast. Sonnet 4.5 dropped in late 2024 with stronger tool use and computer use. Opus 4.7 in 2025 raised the bar on reasoning and long-context tasks. The team tracks each release and ports clients to the right model within days, not quarters. The team also runs internal benchmarks: cost per task, latency, accuracy on your specific workflows. No marketing claims, just numbers.
MCP (Model Context Protocol) is the team's preferred way to share tools across Claude agents. The team builds private MCP servers for your internal APIs (HubSpot, Salesforce, Notion, internal DBs) so every Claude agent reuses the same tool catalog. One source of truth, fewer bugs, faster iteration. Combined with Claude Code in your dev team, you can get from prototype to production in 3 to 4 weeks. Crosslink: Claude Code agency, Claude Cowork agency.