Why Generic Prompts Are Killing Your Brand

If you ask ChatGPT to "write a blog post about coffee," you get mediocrity. It's not the AI's fault; it's yours. The machine lacks context.

The Context Gap

Most businesses treat Large Language Models (LLMs) like a search engine. They type a query and hope for a result. But LLMs are not search engines; they are reasoning engines. To reason effectively, they need constraints.

At STRATA, we utilize a technique called Context Slicing. Instead of dumping your entire company history into every prompt (which confuses the model and wastes tokens), we slice the data based on the specific agent's goal.

The 3 Layers of Context

• Identity Layer: Who is speaking? (Voice, Tone, Credentials)
• Audience Layer: Who is listening? (D.O.R.E.S Framework)
• Logic Layer: What are we selling? (M.O.E.D.A Framework)

By injecting only the relevant layers into a specific agent, we reduce hallucinations and increase brand alignment by over 400%.