“You don’t need to write prompts anymore.” Sam Altman, CEO of OpenAI

Generic AI prompts are a dead end for your company. If your entire AI strategy relies on employees typing queries into ChatGPT, you have zero competitive advantage. Everyone has access to the exact same base models, meaning your competitors get the exact same generic outputs you do.

I'm currently doing some research on Linkedin and pretty much everybody is telling me that their sales team is doing research on their prospects in AI before going to a meeting.  From the number of people that tell me this, this is pretty much business as usual (BaU). The problem with this is that you have it, which is great, but so do all your competitors.  There is no competitive advantage. 

True leverage isn't found in prompt engineering, it's found in custom infrastructure and grounded context.

The Shift from Generic Prompts to Custom Infrastructure

• Prompts are an intermediate phase. The era of "human writes a prompt, AI responds" is rapidly yielding to "human sets a goal, AI executes the workflow." Models are evolving past basic text generation to act as continuous agents.

• Commoditized answers yield zero moat. Relying on raw LLMs treats AI like a search engine instead of an execution engine. If the input is generic, the business outcome is generic.

• Specialized applications win. Rather than teaching your team "prompt shamanism," your business needs ready-built applications, like Azpertilo, that directly ingest your private, grounded data.

• Focus on outcomes, not infrastructure. As Sam Altman points out with his electricity analogy, people didn't buy "electricity"; they bought "light at night." Your business shouldn't care about underlying tokens or raw model parameters, you care about quality, speed, and execution.

Why Grounded Data Drives Real ROI

To drive actual productivity outcomes, AI tools must sit on top of your proprietary data, internal workflows, and operational constraints. Deploying dedicated applications built for specific business outcomes delivers three immediate advantages:

1. Context-Aware Execution: The system automatically understands your company's internal knowledge base, removing the need for long, repetitive prompt setups.

2. Workflow Automation: The interaction shifts from "answer this question" to "run this business process end-to-end."

3. Scalable Intelligence: Instead of individual employees using AI as a personal assistant, the entire organization operates on a standardized, high-leverage infrastructure.

The future of AI in business isn't about training your team to write better prompts. It's about deploying specialized software that leverages your own data to execute real work.