You Don't Need the Perfect AI Prompt to Get Started

I want to cut through the noise on AI for a second. Because when most small business owners hear "AI" they think one of three things: → Too expensive → Too complicated → Built for someone else's business Here's what AI actually looks like for a local business in plain English: Your phone rings at 9pm on a Friday. Instead of going to voicemail and losing the job — an AI agent picks up, captures the lead, answers basic questions, and texts the customer a confirmation. A customer got a quote from you 3 weeks ago and went quiet. Instead of forgetting about it — an automated follow-up sequence sends a personal-sounding message checking in. You win jobs your competitors gave up on. You finished 6 jobs last week. Instead of manually asking each customer for a Google review — a text goes out automatically 24 hours after each job. Your reviews climb while you sleep. None of this requires a tech team. None of it requires a big investment. It requires the right setup — done once, running forever. That's it. That's AI for a small business. What questions do you have about how this actually works?

The Paradox of Productivity: Why AI Will Actually Make Us Work More, Not Less (Part 2) Sorry to break your heart guys, AI won't make you clock out early.😊 Before AI, a small business might say, "We don't have the resources to translate our website into fifteen languages or reply to every single customer DM personally." With AI, the new workflow becomes: "Let’s have AI draft the localized pages and customer replies, and have a human review and personalize them." Just like that, an entirely new layer of work is born. AI creates new things to manage. You aren't just "doing" the work anymore. Your day will consist of prompting, editing, fact-checking, orchestrating three different AI systems, and maintaining the workflow. The easier the base task becomes, the more tasks we stack on top of it. The New Shape of Work AI won't make us clock out early; it’ll just change what we do when we’re on the clock. Look at history: spreadsheets didn't kill the accounting profession. Instead, they eliminated the tedious math and created an explosion of accountants doing 100x more high-level analysis. The work that is disappearing right now is repetitive execution. The work that is absolutely exploding is ideas, judgment, taste, coordination, and scaling. That is Jevons Paradox in the modern age. We don’t actually save time; we just reinvest it into doing more. What about you?What kind of work are you already seeing this in? Is your marketing, coding, or content creation getting faster or just bigger?

A lot of people wait until they've got some big, impressive use case before they'll trust AI with real work. It's the wrong way round. The fastest way to trust a tool is to give it the small, annoying jobs first - the ones that eat your time without you really realising it. Here's one I use after every client call. The transcript gets shared and AI pulls out a session summary identifying key decisions, key themes, actions and anything still needing a decision. A quick review, then my action items go into my task list and the session summary gets shared. What used to be a thirty-minute sort is now a two-minute check. Do that a few times across a week and you've bought back real hours - without changing a single thing about how you work. Start small, stay consistent, and let AI earn its spot in the actual running of your business. What's the one small job you'd hand over first? #AIforBusiness #Productivity

The most valuable question I ask AI usually isn’t about my business. It’s: “What’s the best way to approach this?” I was listening to My First Million yesterday, and Rory Sutherland talked about metacognition, our ability to think about our own thinking. I guess pilots have to do this. They can’t just ask, “What do I think is happening?” They also have to ask: “Am I thinking about this the right way?” That stood out to me because it describes one of the most valuable ways I think you can use AI. I’ve let AI help direct my steps all along the way. Not sure how to approach a project? A state filing? A software setup? A tool choice? I used to guess—or burn an evening reading forum threads and trying to piece together the right answer. Now, before I start, I ask AI how someone who knows what they’re doing would approach it. That’s how I’ve ended up doing things properly that I otherwise wouldn’t have any idea how to do. Filings. Setups. Software projects. Business decisions. The insight after asking “How should I even approach this?” is huge. Most people ask AI to complete a task. Fewer ask it to examine their thinking, challenge their assumptions, and design the approach first. That may be the more valuable skill. What have you been putting off because you don’t know where to start? Don’t ask AI to do it yet. First, ask: “What’s the best way to approach this?” Pro tip: Ask it to plan the spec before you begin the build! Pro Pro tip: Take that spec into another AI and ask it to critique it.

AI is not magic. It needs context. That sounds obvious, but it is the part most small business owners skip. They open an AI tool and ask it to help with a post, an email, a plan, or a decision. Then they feel disappointed when the answer is too broad, too polished, too generic, or just not quite right. But AI can only work with what it has been given. If it does not understand your business, it cannot think clearly with you. It needs to know things like: • what you actually offer • who your clients are • how you speak • what matters to you • what you are trying to build • what you do not want to waste time on • what kind of decisions you keep circling around That is when AI starts becoming useful. Not because it suddenly becomes cleverer. Because it finally has something real to work with. For small business owners, I think this is the shift: Stop using AI like a random answer machine. Start setting it up as a thought partner that understands the business behind the question. That is the kind of setup I help people build through Your Biz AI Partner. If you want to see how it works, the details are on the website.

AI has made it to the trades. And companies are scrambling to tell you they have the best AI for your business. But before the AI — before any platform decision — there is a sequence that matters. 1. Audit what your business is actually using and what it is paying for. Which tools talk to each other? Which ones need a human to carry data between them? 2. Map your ideal workflow — including the chaos-variable day, not just the perfect one. 3. Connect your job management platform to your accounting, scheduling, inventory, and customer history in a single source of truth. 4. Then apply the AI. Businesses that skip straight to step four and bypass the first three do not get the results. The ones that do the unglamorous work first are the ones running at 24% margins. We laid out the full framework in our webinar The Next Decade of the Trades. 45 minutes. The most useful thing you will watch this week.

Everyone is talking about AI. The businesses getting the biggest return aren't using it to replace people—they're using it to eliminate repetitive work. Here are three ways AI is making an immediate impact for small businesses: • Drafting emails and proposals in minutes instead of hours. • Repurposing one piece of content into multiple social media posts. • Analyzing marketing data and identifying opportunities much faster than manual review. AI isn't a magic button. It still needs strategy, experience, and human oversight. But when used correctly, it frees up time so business owners can focus on serving customers instead of getting buried in administrative work. The businesses that learn how to work alongside AI will have a significant competitive advantage over the next few years.

Many organizations believe adopting AI starts with choosing the right model. In reality, it starts with choosing the right business problem. The biggest wins I've seen don't come from replacing people with AI they come from eliminating repetitive work, standardizing decision-making, and freeing teams to focus on higher-value activities. A practical AI journey isn't about deploying dozens of use cases at once. It's about identifying one high-impact workflow, proving measurable value, and then scaling with the right architecture, governance, and observability. AI succeeds when technology, processes, and people evolve together. That's how experimentation becomes enterprise transformation. #ArtificialIntelligence #AgenticAI #GenerativeAI #EnterpriseAI #DigitalTransformation #Automation #AIAdoption #LLMOps #Innovation

The most expensive mistake in AI isn’t picking the wrong tool. It’s automating the wrong job perfectly. I see it constantly. An owner spends weeks and real money making a process faster, smoother and hands-free. And the process never needed to exist in the first place. So before we automate anything for a business, we run it through three questions. You can use them today on any task that eats your week. 1. Does this step still need to exist? Not “Can we automate it?” “Does it need doing at all?” Half the jobs that feel essential are just habits with a long service record. If the answer is no, you’re finished. Deleting a step beats automating it every time. 2. Who actually needs the output, and in what form? Follow the thing you produce. The report. The spreadsheet. The update. If it lands in an inbox nobody opens, automating it just means nobody ignores it faster. Sometimes the real fix is one message to one person, not another workflow. 3. What breaks if it stops tomorrow? This separates the load-bearing work from the busywork wearing a high-vis jacket. The steps that would cause real problems if they stopped are the ones worth building around. The rest can be quietly retired. Notice what these three questions have in common. None of them are about AI. They’re about the work. Get the work right first and the tool almost picks itself. Get it wrong and the cleverest AI on the market will simply help you do the wrong thing at scale. Craft first. Tech second. People ALWAYS. 💚 PS: These three questions are the short version of what a full Opportunity Map does across your business. If you’d rather we ran it properly, the link is in my bio. #ArtificialIntelligence #SmallBusiness #ConstructionXAI

You're probably wasting hours every week on work AI could help you finish in minutes. The question is... Have you identified those tasks yet? When most people think about AI, they imagine it replacing jobs. I think about something completely different. Time. Every week, there are tasks we repeat over and over again. Writing emails. Summarizing documents. Brainstorming ideas. Creating presentations. Researching a topic. Organizing notes. Drafting social media posts. These tasks are important. But they don't always deserve hours of your time. One of the biggest shifts I've made this year is asking myself a simple question before starting any task: "Can AI help me do this faster without reducing the quality?" If the answer is yes, I use it. Not because I'm lazy. Because I'd rather spend my time on things that actually require me. Critical thinking. Decision making. Building relationships. Creating strategy. Learning new skills. Those are things AI can support, but it can't replace. Don't use AI to avoid thinking. Use it to eliminate repetitive work so you have more time to think. The people who gain the biggest advantage from AI won't necessarily be the most technical. They'll be the ones who know what to automate and what to keep human. So take a look at your daily routine. There's a good chance you're spending hours on tasks that AI could help you finish in minutes. The time you save today could become the opportunity you build tomorrow.