Get your free personalized podcast brief

We scan new podcasts and send you the top 5 insights daily.

To get faster internal buy-in, create a custom AI agent trained on a key stakeholder's past feedback from notes, messages, and document comments. Run new proposals through this 'skill' to frame them in a way that resonates with their priorities before they even see them.

Related Insights

Create a complex AI persona that acts as a personal "board of directors." Include real-world experts (e.g., Ben Thompson for strategy) and archetypes (a skeptic, an investor). Run your ideas and documents through this virtual board for multi-faceted, high-quality feedback before finalizing.

Stakeholders must first interact with an AI agent about their feature ideas. The agent asks clarifying questions to assess impact and alignment. If the idea is weak, the agent politely rejects it, protecting PMs from distractions and poorly framed requests.

Create distinct AI agents representing key executives (e.g., CEO, CMO, CSO). By posing strategic questions to each, you can simulate how different departments might react, identify potential misalignments in priorities, and refine proposals before presenting them to real stakeholders.

Generic use cases fail to persuade leadership. To get genuine AI investment, build a custom tool that solves a specific, tangible pain point for an executive. An example is an 'AI board member' trained on past feedback to critique board decks before a meeting, making the value undeniable.

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.

Instead of pitching a new idea in a vacuum, connect it directly to a leader's existing priorities, such as market disruption or a specific annual goal. This reframes your idea as a way to achieve their vision, increasing the likelihood of approval.

Build a skill that simulates your executive team based on their known goals and priorities stored in your AI's intelligence layer. This allows you to get critical feedback and find holes in your thinking before presenting, increasing your chances of success.

Before a high-stakes meeting, train a large language model on transcripts of that executive's previous product reviews. You can then run your pitch or PRD through this custom AI to anticipate specific pushback, identify weaknesses in your proposal, and better prepare for the conversation.

Leverage AI to gain external perspectives without meetings. Prompt it to act as a specific persona—like a skeptical CEO, an enthusiastic user, or a New York Times reviewer—to critique your work. This reveals blind spots and strengthens your idea before sharing it.

To scale the CEO's feedback, his EA created a custom GPT trained on his feedback style, strategy docs, and company norms. Team members use this 'CEO clone' to stress-test their proposals before official review, improving document quality and saving executive time.