A few days ago, a colleague asked me:

“When I ask ChatGPT about companies offering services like ours, it always lists the same five names. Some of them don’t even exist anymore. But never OUR company — even though we’ve been doing this work for years.”

Many companies begin their AI journey with experimentation—testing ChatGPT, automating small tasks, or using generative models in isolated use cases. But turning those experiments into scalable, integrated solutions is a different challenge altogether.

Reviewing financial models is a core part of many roles—whether you’re screening a potential investment, evaluating a strategic project, or assessing performance. But not everyone on the team brings senior-level intuition to that task.

In investment work, timing and clarity are everything. Screening deals quickly—without missing red flags or opportunities—is a core skill for analysts, partners, and anyone involved in evaluating companies. Yet the volume of material we’re expected to review keeps growing: teasers, decks, one-pagers, founder emails, and financial models.

PDFs are where information goes to hide. Whether it’s a 300-page due diligence report, a market study, a white paper, or an internal memo, valuable insights often end up buried deep in static documents—unread, underused, and unsearchable at speed.

Generative AI has made it to boardrooms, consulting firms, and research teams. But despite its growing presence, many professionals still treat ChatGPT like it’s just a better search engine. It’s not.

A hands-on comparison of ChatGPT, Claude, and Perplexity for analyzing business expenses

Digital subscriptions are deceptively easy to activate—and surprisingly easy to forget about. A few clicks, a saved credit card, and suddenly you’re paying for tools or apps you no longer use or barely remember signing up for.

If you’re learning a new language and looking for smarter, more flexible tools, this article is for you. Whether you’re tired of rigid apps or frustrated by dry textbooks, ChatGPT can be a powerful and customizable tool for making real progress—especially when paired with your unique learning goals.

An Experiment with ChatGPT and My Facebook Archive

How much can someone learn about you just from your digital footprint? Most of us are aware, in theory, that we leave traces online—but few realize how easily those fragments can be connected into a coherent, deeply personal portrait.

One of the most common ways people use AI chatbots like ChatGPT is for information search. I hear this over and over again in my workshops and consulting sessions:

“I mostly use ChatGPT instead of Google when I need a quick answer.”

One of the most common challenges in workshops and business communication is translating abstract ideas into clear visuals. Not everyone has the time or skill to design slides or illustrations from scratch—yet we all know how much easier it is to convey complex concepts with a visual than with words alone.

Most people approach job hunting the same way: open a few tabs, scroll through listings on LinkedIn, and send out a batch of applications. It’s reactive, repetitive, and highly competitive. In the age of AI, it’s also increasingly ineffective.

“I didn’t have time to write a short letter, so I wrote a long one.”

This quote, often attributed to Mark Twain, became a staple in the workshops of Bill Joos, the legendary Silicon Valley pitch coach. I first heard it from him during a training session at Blackbox. Bill, who passed away a few years ago, left a lasting impact on how I think about communication—especially concise communication.

Most users assume that AI systems like ChatGPT or Gemini are stable, neutral tools—pre-trained, aligned, and static. This assumption is dangerously outdated. Language models evolve. Not through explicit reprogramming, but through what they absorb from the world—and from us.

Speech-to-text AI has quietly become one of the most powerful tools in a modern consultant’s or sales professional’s workflow. While AI is often associated with chatbots or content generation, its applications for meeting documentation and client insights are just as transformative—if not more.