How to Write Robust System Prompts for AI Agents Across LLMs
There is no truly bulletproof system prompt. But there is a practical engineering standard for making prompts far more robust across Sonnet, Haiku, GPT, and reasoning-style models.
Engineering Manager / Technical Lead
A topic hub collecting every article tagged Anthropic. Use it to explore related posts and follow this theme across the site.
5 articles
There is no truly bulletproof system prompt. But there is a practical engineering standard for making prompts far more robust across Sonnet, Haiku, GPT, and reasoning-style models.
A practical guide for engineers and PMs on how to lead fast iteration cycles for agentic systems, design useful sandbox UIs and APIs, and graduate the best prototypes into production experiments and real betas.
Persistent agents are becoming product features, not just backend architecture. Learn how Dispatch, Cowork, computer use, and OpenAI background mode fit together, with complete TypeScript examples from zero to advanced.
A practical roadmap for software engineers who want to move from toy chatbots to production-grade AI agents, with the right study order, common gaps, and portfolio projects.
A source-audited guide to where computer-use agents are already practical, where they still break, and how to deploy them safely for QA, legacy enterprise workflows, and browser automation.
Quick find
Search by topic, title, framework, or pattern.