How To Use Routing Classifier Prompting With Claude For Seo Content
Apply the routing classifier prompt pattern with Claude on seo content — with the exact system prompt, tool list, and eval rubric. This guide takes you from zero to a working, production-grade Claude routing-classifier seo-content setup — with the exact prompts, secrets, guardrails and a one-line deploy at the end.
- The exact prompt + tool schema to start from
- How to bound cost, latency and blast-radius
- Failure modes we hit in production and their fixes
- A copy-paste deploy for the whole stack
What How To Use Routing Classifier Prompting With Claude For Seo Content actually solves
Apply the routing classifier prompt pattern with Claude on seo content — with the exact system prompt, tool list, and eval rubric.
If you've tried to duct-tape this before, you already know the pain: fragile scripts, secrets in three places, and no audit trail when something misbehaves. The approach below fixes those three problems in one shot.
Before you start
You'll need an Anthropic API key, the CLI installed locally, and permission to create a scoped token on the provider side. If you're deploying to production, add a secrets manager — never bake tokens into your repo.
Everything below assumes Node 20+ and a Unix shell. Windows works via WSL.
Wire the core loop
Set up the smallest possible loop that proves the idea end-to-end. Resist the urge to generalize before the happy path works — the temptation to abstract is the number one reason these projects stall.
import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic();
const res = await client.messages.create({
model: "claude-opus-4-5",
max_tokens: 1024,
system: "You are an assistant for Claude routing-classifier seo-content.",
messages: [{ role: "user", content: "Kick off the task." }],
});
console.log(res.content);Register it with Claude and verify
Run one real task end-to-end, then look at the trace. Traces beat prints. If you can't see every tool call, every input, and every output, you can't operate this in production.
Guardrails you actually want in production
Hard-cap tokens, tool calls and wall-clock per session. Redact PII on the way out. Log every tool invocation to an append-only store — future-you will need it during an incident.
For anything that mutates data, add a dry-run mode and require an explicit confirmation flag on the tool call. This one control catches most of the accidents.
Common failure modes and fixes
The three we see most often: (1) token scoped too broadly, so the blast radius of a prompt injection is huge; (2) no timeout on the tool call, so a hung provider stalls the whole agent; (3) no eval, so nobody notices when a prompt tweak regresses Claude routing-classifier seo-content by 20%.
Fix all three before you promote to production. They're cheap now and expensive later.
Deploy it in one line
The recipe below wraps everything above into a single deploy. Secrets resolve from your locker; tools register automatically; the audit log is on by default.
The RAG over private wiki with citations recipe wraps this guide into a one-line deploy with the secrets pre-wired.
Open recipe → /recipes/rag-private-wiki-citationsFrequently asked questions
What's the fastest way to get Claude routing-classifier seo-content working today?
Skip the framework choice paralysis. Use the deploy command at the bottom of this guide — it wires the whole Claude routing-classifier seo-content stack against your locker's secrets in under a minute.
Which Claude model should I use for Claude routing-classifier seo-content?
For most workloads, Sonnet is the right default: fast, cheap enough, and strong on tool use. Reach for Opus when reasoning depth matters (multi-step planning, hard refactors) and Haiku when you're batch-processing.
How do I keep secrets safe when using Claude tools?
Never inline tokens. Load them from a secrets manager at boot, scope them to the minimum needed permissions, rotate them on a schedule, and audit every tool call. Claude Locker does all four out of the box.
Will this work in Claude Code?
Yes, and it also works from any Anthropic SDK, so you can run the exact same loop from a background worker or CI job.
How much does Claude routing-classifier seo-content typically cost per month?
Under $50/month for hobby traffic, well under $500/month for a mid-size product team once prompt caching and model routing are enabled. The guide covers the exact caching setup.
Where can I see a working demo without signing up?
Every recipe on Claude Locker ships a view-only live demo on sample data. Open the linked recipe below and click 'Live demo' — no account required.