Anthropic

AI & ML

Neotask integrerar Anthropic Claude genom OpenClaw — använd avancerade AI-modeller för resonering, analys och innehållsskapande genom konversation.

Vad du kan göra

Claude Model Invocation

Call any Claude model — Claude Opus, Sonnet, or Haiku — with full control over system prompts, temperature, max tokens, and tool definitions. Get structured JSON back or plain prose depending on your task.

Prompt Engineering Workflows

Iterate on system prompts interactively. Neotask can run the same user message against multiple system prompt variants and display results side by side so you can tune without writing test scripts.

Tool Use and Function Calling

Define tool schemas and let Neotask orchestrate multi-step Claude tool-use loops. Extract structured data, call external APIs, and chain results — all described in plain language.

Usage Monitoring

Check token consumption by model, date, and API key. Identify which workspaces are burning through quota and get plain-English summaries of your Anthropic billing.

Batch Processing

Submit large batches of prompts to the Claude API and collect results efficiently. Neotask handles rate limiting, retries, and output aggregation automatically.

Prova att fråga

  • "Call Claude Sonnet with this system prompt and tell me if the output is valid JSON"
  • "Compare how Claude Opus and Claude Haiku handle this classification task"
  • "Run this prompt against 50 inputs from my CSV and return structured results"
  • "What's our Anthropic API spend this week?"
  • "Build a tool-use call that extracts name, date, and amount from invoice text"
  • "Iterate on this system prompt until Claude returns responses under 100 words consistently"
  • "List all API keys in my Anthropic workspace and when they were last used"
  • "Stream a long Claude response and save the output to a file"

    • Professionella tips

  • Use Neotask to A/B test prompt variants against a golden evaluation set before shipping to production
  • Ask for Haiku first when prototyping — it's faster and cheaper; promote to Opus only when quality requires it
  • Describe your tool schema in plain English and let Neotask write the JSON definition for you
  • Combine Anthropic with your vector store: retrieve relevant chunks first, then pass them to Claude in context
  • Use the batch endpoint for offline jobs — Neotask will poll for completion and surface results when ready

    • Works Well With