Choose the right architectubre every time Learn exactly when to use a workflow, a single agent with tools, or a multi-agent system — and when agents are unnecessary overhead.

Avoid costly agent mistakes Understand why “one model calling many APIs” is not multi-agent, and how tool overload, coordination, and context limits break systems.

Design production-ready AI systems Apply proven engineering rules like validation loops, observability, HITL checkpoints, and thin-agent / heavy-tool patterns.

About the Agents Cheatsheet

The Agents Architecture Cheatsheet is a practical framework for AI builders, engineers, and product teams who want to move from demos to production. Inside, you’ll learn: How to evaluate task shape, reasoning type, tool load, and latency constraints A clear decision spectrum: Workflow → Single Agent → Multi-Agent When multi-agent systems are truly justified — and when they’re a liability Proven orchestration and validation patterns used in real AI systems This cheatsheet is designed to be used in project kickoffs, architecture reviews, and build decisions, not just read once and forgotten.

Meet the Experts

Hi there! I'm Louis-François! My AI journey began in 2019 during my systems engineering degree, when I won an emoji classification competition and discovered a passion for applying research to real-world problems. In 2020, I pursued a Master’s in AI, became Head of AI at a startup, and launched a YouTube channel to teach AI concepts. These experiences revealed a gap between academia and industry, inspiring me to co-found Towards AI in 2022 to bridge that divide. In 2024, I left my PhD in medical AI to focus on building real-world AI solutions. Creating impactful AI products requires more than research. This is why the TAI team of experts and I have identified the essential tech stack for adapting a large language model (LLM) to a specific use case and achieving a sufficient threshold of accuracy and reliability for scalable use by paying customers. With Towards AI Academy and some key projects in our pipeline, like our Full stack AI engineering course and our book, we aim to help you develop this toolkit.

Elevate Your AI Agent Architecture Today

Stop debating architectures and start building with confidence. This cheatsheet gives you a clear, repeatable decision process for choosing and implementing the right AI system — faster, cheaper, and with fewer failures.

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