Ever wish your chatbot could double-check its own answers or plan out a complicated task before diving in? That’s where Agentic Design Patterns come in! They’re a set of clever strategies that make AI more reliable and capable by adding features like:
Reflection – A built-in ‘review phase’ where AI spots mistakes and polishes its answers.
Tool Use – The power to call external APIs or databases, so it’s always up-to-date and accurate.
Planning – Step-by-step thinking, helping AI tackle multi-stage tasks without getting lost.
Multi-Agent Collaboration – Multiple AIs working together, each with its own specialty, to deliver better (and faster) results.
Whether you’re an AI newbie or just tired of chatbots spouting random trivia, agentic design patterns can transform simple software into a sharper, more helpful AI sidekick!
Core Agentic Design Patterns
Agentic Design Patterns are strategies for making AI systems—especially large language models (LLMs) like GPT—work in a smarter, step-by-step way instead of just giving one answer from start to finish.slys.dev is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
Beyond core Agentic Design Patterns
Have you ever chatted with one of those chatbots that can hold a surprisingly human-like conversation—or even help you plan a trip or write an email? Behind these chatbots are massive “foundation models” (like GPT or Llama) that power all sorts of AI “
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