By assigning roles like a contrarian, an expansionist, and a first-principles thinker to a single LLM, founders can get multi-faceted feedback on critical questions. The model debates itself and provides a synthesized recommendation, revealing blind spots that a single-prompt approach would miss.

Use Claude Cowork to spin up multiple "sub-agents" with distinct personas (e.g., your boss, customer, skeptic). These agents review your work from different perspectives, providing objective, multi-faceted feedback before you present it to real stakeholders.

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.

Move beyond simple prompts by designing detailed interactions with specific AI personas, like a "critic" or a "big thinker." This allows teams to debate concepts back and forth, transforming AI from a task automator into a true thought partner that amplifies rigor.

Go beyond using AI for simple research. Feed it public data about a specific executive (from blogs, interviews, etc.) and instruct it to act as that person. This allows you to practice conversations, refine arguments, and master their specific communication style before a critical meeting.

Instead of using AI as a compliant assistant, program it to be a challenging 'sparring partner.' Ask it to find holes in your logic or anticipate all the critical questions your CEO might ask. This transforms it from a content generator into a powerful strategic tool for preparation.

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.

Use prompting to access expertise you don't have and can't afford to hire. Instead of a generic prompt, instruct the AI to act as a specific, highly-credentialed expert (e.g., "an award-winning market strategist"). This effectively allows AI to fill gaps in your own skill set.