Go beyond static content like articles and presentations. Use AI to build an interactive product that encapsulates your expert judgment and decision-making framework. This allows clients or colleagues to work through problems using your model, effectively scaling your most valuable expertise and freeing up your time.

Instead of static documents, companies can embed their strategy into an AI agent. This agent assists in planning, identifies cross-departmental conflicts, and can be queried in real-time during decision-making to ensure constant alignment, making strategy a dynamic part of daily operations.

Use AI as a high-stakes negotiation simulator. Feed it context about your deal and the other party, then have it embody their persona and negotiate with you. Crucially, after each round, prompt it to break character and provide expert feedback on your performance and what you gave away for free.

Use AI coding assistants to build dynamic HTML presentations as an alternative to static PowerPoints. These interactive briefs are more effective for demonstrating complex AI system flows and securing stakeholder buy-in, as they allow executives to visually interact with a proposed concept.

Instead of receiving a wall of text from an agent, prompt it to generate an interactive HTML artifact using a tool like Lavish. This makes plans easier to skim, critique, and annotate, enabling a much richer and faster feedback loop with the agent.

Product Requirement Documents (PRDs) are often written and then ignored. AI-generated prototypes change this dynamic by serving as powerful internal communication tools. Putting an interactive model in front of engineering and design teams sparks better, more tangible conversations and ideas than a flat document ever could.

For complex features, a 17-page requirements document is inefficient for alignment. An interactive AI-generated prototype allows stakeholders to see and use the product, making it a more effective source of truth for gathering feedback and defining requirements than static documentation.

Instead of adopting AI as a simple tooling exercise, identify where decision-making is slow or fragmented. For instance, during planning, AI can synthesize inputs and draft reports. This elevates product teams from low-value "busy work" to high-value strategic debate and tradeoff analysis.

As buyers increasingly use AI to analyze vendor proposals, sales teams must adapt. Create a human-friendly version with executive summaries, whitespace, and visuals. Concurrently, build a machine-optimized version that is dense, fact-based, and avoids elements like summaries or videos that AI struggles with. This dual approach addresses both audiences in modern procurement.