Prompt ≠ Purpose: Why Goal-Directed Behavior in Agentic AI Demands More Than Just Good Prompts

Insights

Imagine this: you ask a generative AI tool to “summarize last quarter’s procurement activity for compliance reporting.” Within seconds, it produces a well-structured summary, complete with headings and bullet points. So far, so good. Next, you instruct it to email the report to the compliance officer, attach the raw data for audit purposes, and log the interaction in your internal documentation system. Here’s where the system begins to falter. It doesn’t remember which procurement dataset it used in the first step. It requires you to re-specify the compliance officer’s details, the file format, the logging protocol, and the context all over again. 

Vibe Coding

What is Vibe Coding?

Insights

Vibe coding isn’t an official term. It’s more of a coding mindset. Vibe coding is a programming approach that leverages AI tools to create code based on natural language descriptions of desired functionality. In this method of developing code, we rely heavily on autocomplete, AI coding assistants like GitHub Copilot or ChatGPT or various AI Coding Editing tools, and use existing code examples, all while making decisions based on intuition rather than structured instruction.

Private GPTs: Evaluating LLMs for your Business

Private GPTs: Evaluating LLMs for your Business

Insights

Chat GPT has sparked a seismic shift in business and technology, embodying the nature of a double-edged sword. On one hand, it rapidly attracted over 100 million users in its first two months; on the other, it navigated a data breach, emerging with just a few scars. As a substantial number of professionals turn to these tools to boost productivity, organizations and IT leadership are devising innovative strategies to incorporate these technologies into their operations without compromising security. Among these advancements, the emergence of Private GPTs stands out as particularly promising.