OpenAI, Google, and Anthropic engineers wrote these guides for their own teams. All publicly available and free.
Let's go through each one.
A framework for integrating AI into enterprise environments, drawn from seven frontier companies. Covers security standards, access management, and operational scaling strategies.
If you're planning large-scale AI deployments, this is where to start.
A practical step-by-step guide to building autonomous agents. Tool use mechanics, decision loops, and the foundational building blocks of agent architecture.
Essential reading for understanding multi-step reasoning and tool call flows.
A prompt engineering handbook for Gemini and Google Workspace. Covers zero-shot, few-shot, and chain-of-thought techniques with concrete examples — from beginner to advanced.
Authored by Lee Boonstra, this Google whitepaper turns prompt design into a systematic engineering discipline. From zero-shot to ReAct, from chain-of-thought to role prompting — with research-backed frameworks.
How early adopters focus their AI efforts — OpenAI's methodology for identifying, prioritizing, and successfully scaling AI use cases across an organization.
Anthropic's engineering team guide on designing production-grade agent systems. Covers everything from simple pipelines to complex multi-agent architectures — grounded in real deployment experience.
Released at Google Cloud Next '25, this document compiles 601 generative AI scenarios from large organizations worldwide. Industry-specific, with concrete business outcomes.
The strongest answer to "but where does AI actually deliver ROI?"
Anthropic's technical documentation for getting the most out of Claude. Claude-specific techniques and practical frameworks for prompt design.
A whitepaper prepared in collaboration between Kaggle and Google, documenting engineering standards for agent architecture and memory management. Authored by Antonio Gulli, Lavi Nigam, and their team.
One of the best public technical documents on context management and stateful agent design.
Reading these 9 guides together gives you engineering perspectives from all three major AI companies:
All free. All public.
