This guide outlines an 11-stage process for building a self-running assistant using Anthropic's Claude models. It begins with establishing a baseline by manually solving a task in the chat interface to ensure prompt effectiveness. The process then moves to integrating the prompt into the API's system field, allowing for model selection (Haiku, Sonnet, Opus) based on task complexity and cost. Subsequent stages involve handling machine-readable output, calling real-world tools, implementing loop-based execution, enabling session memory, and finally, scheduling automated runs. AI
IMPACT Provides a structured approach for developers to automate tasks using Claude models, moving beyond basic chat interactions.
RANK_REASON Guide on building an AI assistant using existing models and SDKs.
- Anthropic SDK
- Claude
- Claude Agent SDK
- claude-haiku-4-5-20251001
- claude-opus-4-8
- claude-sonnet-4-6
- Python
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