Defining Quality: The New Core Skill for AI PMs
In the AI era, a product manager's core value lies in their ability to define rigorous testing sets and evaluation standards for probabilistic AI outputs, rather than just understanding business logic.
Tag: #best-practices18 results
In the AI era, a product manager's core value lies in their ability to define rigorous testing sets and evaluation standards for probabilistic AI outputs, rather than just understanding business logic.

This article outlines a systematic approach to AI coding, focusing on reducing hallucinations through explicit constraints and structured requirements. It emphasizes treating AI as a developer that must follow strict architectural 'constitutions'.

Andrej Karpathy's 65-line 'CLAUDE.md' guide has become a viral standard for constraining AI coding agents. It focuses on four core principles to prevent over-engineering and hallucinations, significantly improving task success rates.

Anthropic has published a new guide titled 'Building AI agents for the enterprise' to help organizations move beyond simple Q&A bots. The guide highlights success stories like Rakuten, which achieved 30% reductions in costs and latency.
Learn core prompting techniques for ChatGPT. Write clear, effective prompts to elicit better, more useful responses.

The article highlights the dangers of 'vibe-coding,' where developers deploy AI-generated applications without rigorous security audits. It features a case study of a project manager who inadvertently introduced a critical SQL injection vulnerability into a live website.

The article shares three best practices to boost AI agents' success in production: governance, evaluation, and starting small. These strategies address common hurdles in developing human-level agents. They help teams build reliable, scalable AI systems.

AI systems generate vast logs during interactions, crucial for understanding model behaviors and evaluating effectiveness. This arXiv paper proposes a standardized 7-step pipeline based on best practices, illustrated with code from the Inspect Scout library. It offers detailed guidance and highlights common pitfalls for reproducible analysis.

This post outlines configuring Amazon Bedrock Guardrails for optimal performance in generative AI apps. It covers best practices for application protection and effective monitoring to balance safety and user experience. Ideal for building secure GenAI deployments.

OpenAI released an official guide detailing eight practical techniques to improve user interaction and output quality with ChatGPT. These tips focus on optimizing prompts and leveraging specific features to enhance productivity.