AI Advisory

Today, I want to show you a different way to use AI. Not as a chatbot. Not as a search engine. Not as something you open when you have a question. Instead, I want you to think of AI as a personal knowledge engine. The basic idea is simple. Most of us accumulate useful information constantly, but we rarely turn that information into something we can actually use. You read an article. You save a web...

Today, I want to show you a simple AI workflow that can solve a surprisingly expensive problem. It's not about generating content. It's not about automating your email. It's not about asking AI to make a decision for you. It's about something much more basic: Remembering why you made the decisions you made. Think about how often you revisit decisions. You choose a software subscription, and six mo...

Most decisions that stall you aren't hard because the answer is hidden — they're hard because six factors are competing in your head at once. In this episode I show you how to build an AI decision matrix: a structured way to hand AI the job of comparing options instead of asking it to pick for you. We walk through a personal example (choosing between three laptops), a founder example (picking a CR...

Most people walk into important conversations and simply react to whatever the other person says. That is backwards. In this episode of AI Advisory, David Peterson shows you how to build a five-minute AI conversation brief before any important conversation — a contractor meeting, a sales call, a vendor negotiation — so you walk in knowing exactly what you need to learn. The core shift: stop asking...

Today, I want to show you a workflow that can save you hours whenever you need to understand something unfamiliar. It could be something personal, like comparing health insurance options, researching a new car, figuring out what you need for a trip, or understanding a complicated purchase. Or it could be something much more important to your business: researching a competitor, evaluating a new sof...

Somewhere in your house is a warranty that expires before you'll remember to use it. Somewhere in your business is a contract that auto-renews at a higher price because nobody checked the cancellation window. None of these are hard problems — they're just scattered across dozens of documents you'll never read again. In this episode I walk through building an AI Maintenance Radar: uploading your co...

Today, we're going to build something extremely practical: an AI expense auditor. Not an accounting system. Not a complicated financial dashboard. An AI assistant that looks at your actual spending data and helps you find recurring charges, unnecessary subscriptions, unusual expenses, price increases, duplicate charges, and opportunities to save money. And then we're going to take the exact same i...

Today I want to show you a very simple AI workflow that can save you an enormous amount of time. And it starts with something you already have. Your voice. Most people have ideas constantly. You think of something while driving. You remember something while walking. You realize what you need to do while making coffee. You have an idea for your business while you're nowhere near your computer. Then...

Most people use AI backwards — they type a question, get a generic answer, then spend ten minutes correcting the model because it does not understand their situation. The fix is not a better prompt. It is a context pack: one reusable document that briefs the AI on who you are, what you are trying to accomplish, and what constraints actually matter. In this episode I walk through building a persona...

Most people use AI as an answer machine — explain this, summarize that, write this. There is a second use that is far more valuable: turning AI into a practice partner that runs you through realistic scenarios, scores your performance, and makes the next round harder. In this episode I show you how to build an AI practice coach for everyday skills like public speaking, language learning, and job i...

Most people do not have a time management problem — they have a translation problem. Commitments live in your calendar, your inbox, your notes, and your head, and none of it assembles itself into a workable week. In this episode I show you how to build an AI Weekly Architect: give AI your real constraints instead of asking it to plan your week, make it stress test its own schedule, and use the sam...

How many times have you explained how to do the same thing? The task usually isn't hard - the problem is that you have to reconstruct it from memory every single time. In this episode we build an AI SOP Generator: take one recurring task, record yourself doing it, and have AI turn it into a Standard Operating Procedure you can reuse, delegate, and eventually automate. Includes the exact prompts fo...

Today, I want to show you a very simple way to use AI that can save you time without requiring you to build an AI agent, automate your entire business, or learn how to code. We're going to build something I call an AI Friction Finder. The idea is simple. Most of us don't have a major productivity problem. We have dozens of tiny friction problems. You open the same website five times a day. You rep...

Today, I want to show you a use for AI that is incredibly practical, but doesn't get nearly as much attention as generating content, writing emails, or creating images. Forms. Applications. Questionnaires. Vendor paperwork. Insurance documents. Government forms. Job applications. School forms. Onboarding documents. Anyone who has dealt with enough paperwork knows the problem. The form itself might...

Most people use AI to create things. Far fewer use it to catch what's wrong with what they've already created. In this episode I show you how to build an AI Quality Control Inspector: a repeatable five-pass review — accuracy, completeness, clarity, audience fit, and actionability — that you can run on an email before you send it or a landing page before you publish it. Includes the exact prompts,...

Today, I want to show you a completely different way to use AI. Most people use AI like a search engine. They type a question. AI gives them an answer. They ask another question. AI gives them another answer. But there is another mode that can be dramatically more useful. Instead of asking AI questions, you can make AI interview you. And that changes the entire interaction. Think about how a good...

Most people don't have an information problem — they have a conversion problem. Information never becomes action. This episode walks through a simple AI workflow that fixes it: the AI Action Extractor. Instead of asking AI to summarize a conversation, you ask it what actually needs to happen next — who owns what, what's due, what was decided, and what's still open. You'll get exact prompts for the...

Most people prepare their position, not the negotiation. In this episode I show you how to build an AI negotiation coach: give AI the real numbers, your walk-away point, and the other side’s likely objectives, then have it map your leverage, build a concession ladder, and role-play the conversation before you have it. Works on a $95 internet bill and an $11,000 vendor renewal alike. Presented by D...

It is something most of us do constantly: We compare options. Which laptop should I buy? Which airline should I use? Which insurance plan is better? Which software should my company purchase? Which vendor should I hire? Which job offer should I accept? Which marketing channel should I invest in? And the problem is that humans are generally terrible at making complicated comparisons. Not because we...

Most people use AI the same way: ask one question, get one answer, accept it or reject it. That habit quietly caps the quality of every decision you make with it. In this episode I show you how to build an AI Debate Room — instructing a single AI assistant to simulate several experts who genuinely disagree, argue their strongest cases, and challenge each other before any recommendation appears. Yo...

Today we're talking about one of the biggest hidden productivity killers in modern life. Reading everything. Every day we're buried in newsletters, PDFs, research papers, meeting notes, contracts, articles, emails, YouTube transcripts, books, documentation, Slack messages, and industry reports. Most people think the problem is information overload. It's not. The real problem is information process...

We collect information. We do not synthesize it. You read articles, watch videos, listen to podcasts, save bookmarks, download PDFs — then six months later you remember learning exactly what you need, but you have no idea where it is. In this episode we fix that by building an AI Insight Synthesizer: a workflow that turns everything you consume into usable knowledge, with specific prompts and tool...

Today's topic is: Build Your AI Personal Board of Advisors. One of the biggest mistakes people make with AI is treating it like a search engine. They ask one question, get one answer, and move on. But that's not how the most effective people are using AI anymore. Instead, they're creating a panel of experts. Imagine sitting down before making an important decision and having access to a CEO, a fin...

One of the biggest mistakes people make with AI is using it after they've already made a decision. They ask AI to write the email after they've decided what to say. They ask AI to summarize a meeting after they've already committed to a project. They ask AI to fix a schedule after they've overbooked themselves. But one of the highest value uses of AI happens before you decide. Today we're going to...

Today we're going to solve a problem almost everyone has, but very few people realize can be fixed with AI. How many times have you copied something into a note because you thought, "I'll need this later"? A restaurant recommendation. A podcast quote. A section of a book. A YouTube transcript. An interesting article. A competitor's pricing. A customer email with great feedback. A screenshot of a w...