We scan new podcasts and send you the top 5 insights daily.
To get robust feedback, create an AI tool that simulates a "war council." It spins up multiple AI sub-agents, each with a specific persona like "Ruthless CFO" or "Contrarian Board Member," to debate a critical decision from all angles.
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.
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.
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.
To get diverse perspectives and challenge personal biases, use a generative AI tool to create a "personal board of directors." Define distinct, opposing personas (e.g., critical thinkers, optimists from different industries) and consult them on difficult decisions to uncover alternative viewpoints you might otherwise miss. This provides an adversarial and motivational sounding board.
For complex strategic decisions, create multiple AI personas representing different mentors or archetypes. Instruct this AI "board" to debate the issue among themselves before presenting you with a summary of their diverse viewpoints, avoiding the bias of a single AI voice.
Markup AI's CEO built AI profiles for figures like Steve Jobs. Before board meetings, he runs his deck by this "fantasy board" to get instant, diverse feedback, effectively bringing expertise into the room that isn't physically there.
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.
By creating AI agents with distinct roles (CEO, CFO, Sales), individuals can simulate an executive team meeting. These agents argue from their perspectives, stress-test ideas, and collaboratively develop a robust business strategy that a single person might miss. This moves beyond simple content generation to complex strategic planning.
A powerful use of AI is to simulate stakeholder perspectives by creating distinct personas, including contrarians. By asking these AI personas for their views on a strategy, leaders can quickly and efficiently identify their own blind spots and challenge their assumptions before committing to a decision.