Your Sucks At Using AI, Here How To Fix It | Eve Kedar - 1974

What It Covers

Eve Kedar, who leads an AI community with 18,000 members, explains how sales leaders can effectively implement AI tools across their teams by embracing cognitive diversity rather than forcing uniform adoption. The conversation focuses on personalized AI coaching, prompt engineering fundamentals, and maintaining human curiosity while leveraging automation.

Key Questions Answered

• •Cognitive Diversity in AI Adoption: Sales leaders should customize AI tool usage based on individual seller strengths rather than imposing one-size-fits-all solutions. One seller who excels at storytelling receives prompts to generate customer stories and connection points, while a data-driven seller gets prompts for financial analysis and preparation insights. This approach amplifies existing strengths rather than suppressing natural selling styles with standardized tools.
• •Custom ChatGPT Setup for Teams: Leaders can create a private ChatGPT instance loaded with their complete sales process, stages, and methodologies. Junior salespeople ask basic questions like what's the next step, while experienced sellers use advanced prompts with full context about prospects to generate negotiation strategies or relationship-building approaches. This single tool serves multiple skill levels without requiring leaders to learn separate platforms.
• •Multi-AI Comparison Strategy: Users can improve output quality by playing AI tools against each other in sequence. Start with ChatGPT for an initial answer, feed that response to Claude asking for improvements, then take Claude's version to Perplexity for final refinement. This iterative approach produces superior results compared to accepting first-draft AI outputs, particularly for complex sales scenarios requiring nuanced thinking.
• •Gamification of Prompt Engineering: Sales teams should run weekly or monthly competitions for best prompts that achieve company goals while maintaining message alignment. Winners receive recognition and monetary rewards, creating a shared library of effective prompts across the organization. This approach builds collective intelligence, prevents laziness, and turns AI adoption into a team sport rather than individual experimentation.
• •SDR Role Evolution: Entry-level sales development roles face disruption as AI agents handle repetitive tasks like initial outreach and data analysis. The SDR position transforms from high-volume activity execution to relationship problem-solving, requiring more training and strategic thinking. This shift elevates the role from transactional appointment-setting to consultative engagement, though it may reduce total headcount in these positions.