Are You Really Benefiting from AI? Dan Sherrard-Smith Questions Founder’s Approach

In a recent LinkedIn post, Dan Sherrard-Smith questions the effectiveness of how many founders are currently integrating Artificial Intelligence tools into their businesses. While many believe using AI like Claude or ChatGPT automatically grants them a competitive edge, Sherrard-Smith argues that a significant gap exists between simply using AI and achieving tangible business outcomes such as quality leads, increased sales, or revenue growth.

He highlights a study by Paul Roetzer, which found that out of 100 individuals with AI access, only a small fraction are making demonstrable progress, with the rest remaining stagnant. This suggests the bottleneck is not the technology itself, but rather the approach founders are taking.

“Most founders think by using Claude, they are ahead of their competition… And it all feels so productive.”

The Pitfalls of Solo AI Use

Sherrard-Smith identifies common justifications founders give for their AI usage, which he posits as red flags indicating a lack of compounding progress. These include relying on generic statements like “I use ChatGPT for my posts” or “I’ve got my own prompts that work.” While these might feel productive, Sherrard-Smith points out that the output often remains inconsistent.

According to Sherrard-Smith, the issue lies in the lack of a systematic approach to prompt engineering and context management. He observes:

“I use ChatGPT for my posts”
“I’ve got my own prompts that work”
“I figured out how to get decent output”

These statements, while common, often mask an underlying inefficiency where the user is continuously rebuilding their process rather than building upon previous successes.

Strategies for Effective AI Integration

To move beyond mere usage and achieve genuine advancement, Sherrard-Smith proposes a method for treating best-performing prompts as a reusable library. This involves a structured approach to capturing and reusing the elements that lead to successful AI outputs.

Building a Prompt Library

Sherrard-Smith outlines a three-step process for founders to ensure their AI efforts compound over time:

1. Document the exact prompt structure that yielded the best results in a given week.
2. Record the specific context provided alongside the prompt, including audience, desired tone, and the objective.
3. Store this information in an accessible location for easy retrieval in future sessions, rather than attempting to reconstruct it from memory.

By adopting this practice, Sherrard-Smith argues, users can achieve more consistent AI output, not just faster generation. This method allows each AI session to build upon the last, avoiding the frustration of repeatedly explaining context to AI tools.

Key Questions for AI Effectiveness

Ultimately, Sherrard-Smith challenges founders to honestly assess their AI utilization by answering three critical questions. He suggests that the inability to answer these indicates a fundamental misunderstanding of how to leverage AI for business growth.

The three questions are:

• What prompt produced my best content last month?
• What context do I load every session?
• What have I actually learned about AI this week?

As Dan Sherrard-Smith concludes, if founders cannot readily answer these questions, they are likely just using AI, rather than truly advancing with it. This distinction is crucial for any business aiming to harness AI for a competitive advantage.