For internal tools, consider trusting the AI's first draft of a Product Requirements Document (PRD) without deep review. The AI can often infer edge cases and requirements from the system's context, allowing you to move directly to building, a practice dubbed "vibe CPOing."

Get better results from AI coding tools by treating them like a new hire. Provide a clear strategy document or PRD as "long-term context" or "project memory." This initial onboarding helps the AI understand the project's goals, leading to more accurate and coherent builds.

Freshworks developed an internal AI agent, PRDGD ('PRD Genie'), that lives in the Cursor IDE. It drafts 80% of a PRD by automatically gathering evidence, conducting competitive analysis, analyzing usage metrics from their data lake, and structuring the document, freeing up PM time for strategic work.

Instead of generic PRD generators, a high-leverage AI agent for PMs is a personalized reviewer. By training an agent on your manager's past document reviews, you can pre-empt their specific feedback, align your work with their priorities, and increase your credibility and efficiency.

The prompts for your "LLM as a judge" evals function as a new form of PRD. They explicitly define the desired behavior, edge cases, and quality standards for your AI agent. Unlike static PRDs, these are living documents, derived from real user data and are constantly, automatically testing if the product meets its requirements.

By creating an AI 'skill' that synthesizes key company documents like product principles, value propositions, and frameworks, a product team can ensure that all generated outputs (e.g., PRDs) consistently reflect the company's specific language, strategic thinking, and established culture.

With AI handling first drafts of documents like PRDs, the PM's value shifts from authoring to editing. The primary job becomes that of an 'editor-in-chief'—questioning outputs, defending the 'why' behind decisions, and ensuring every artifact is grounded in real customer insight and strategic thinking.

Freshworks created a structured AI Product Development Lifecycle (AI PDLC). This isn't just ad-hoc tool usage; it's a governed system with AI agents assisting in discovery, design, QA, and deployment, all drawing from a central knowledge and context hub.

Bypass the common problem where team members agree but envision different outcomes. A product leader can use an AI tool like Claude to turn a PRD into a working prototype. This visual artifact provides perfect clarity, ensuring the entire team is aligned on the exact same vision from day one.