How to Use Custom ChatGPT for Business Transformation

How I use AI isn’t complicated. But it is intentional. I spend 3–6 hours a day inside ChatGPT. I don’t throw prompts at it. I build context with intent and it gets better over time. Here’s how I use it every day. 1. I Build Projects, Not Just Prompts I don’t write random prompts. I build ChatGPT projects with clear goals, uploaded files, and custom instructions. Each one is a system. Reusable. Focused. Built to think with me, not just talk back. 2. I Train It on Myself I’ve trained ChatGPT on my Enneagram, Human Design, work patterns, and feedback history. So when I’m off-track, it goes beyond advice and understands how I tend to fall off, and how I get back. 3. I Simulate My Boss I uploaded my boss’s operating manual and favorite docs. Now I can test ideas before I pitch them. “Would Morgan buy this?” I know before I ask. It’s prep, alignment, and calibration all in one. 4. I Show It What Great Looks Like If ChatGPT doesn’t know what great looks like, it can’t give you great. I feed it standout outputs such as docs, threads and decks so it learns what I consider high quality. Then I build from that baseline. 5. I Use It Like a Coach Before hard conversations, I talk it out in ChatGPT. I explain the situation and ask for perspective. It helps me reflect, not react. I leave clearer, calmer, and better prepared. 6. I Turn Frameworks Into Systems Every time I use a mental model more than once, I systematize it. I turn frameworks into project files and instructions, so I can apply them consistently without starting from scratch. 7. I Reset Like a Product Team I audit and reset my ChatGPT the same way I’d refactor code. I clean up memory, archive noise, and delete irrelevant chats. If the context isn’t clean, the output won’t be either. 8. I Feed It Research First I never ask ChatGPT to write from nothing. I give it context such as company docs, user feedback or market research. That’s when it works. Without input, it’s just guessing. 9. I Built a Project That Builds Projects It’s meta, but it works. I have a ChatGPT project that helps me spin up new projects. Input a goal, it gives me files, instructions, and kickoff prompts. I use it to spin up custom workspaces in minutes. 10. I Rehearse With It Before I present anything important, I run simulations in ChatGPT. I explain the stakes and ask how it would land. It helps me tighten the message and spot what I’m not seeing. 11. I Turn Feedback Into Patterns When I get feedback, I drop it in and ask ChatGPT to analyze it. Not just “what should I do,” but “what keeps coming up?” It surfaces blind spots faster than any spreadsheet ever did. 12. I Work With My Defaults I’m an Enneagram Type 9. I avoid conflict. My Personal OS project knows that, and ChatGPT helps me prep for the moments I’d usually dodge. It gives me words I can stand behind when it matters most.

𝗦𝘁𝗼𝗽 𝗮𝘀𝗸𝗶𝗻𝗴 𝗔𝗜 "𝗛𝗼𝘄 𝗰𝗮𝗻 𝘆𝗼𝘂 𝗵𝗲𝗹𝗽 𝗺𝗲?" 𝗦𝘁𝗮𝗿𝘁 𝗮𝘀𝗸𝗶𝗻𝗴 "𝗪𝗵𝗮𝘁 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗮𝗺 𝗜 𝘀𝗼𝗹𝘃𝗶𝗻𝗴?" Most people open ChatGPT and type vague requests like "help me with marketing" or "give me business ideas."  Then they wonder why the responses feel generic. The issue isn't the AI. It's your question. Problem definition beats prompt engineering every time. Instead of: "Help me grow my business" Try this: "My sales team is missing 30% of quarterly targets. Deals slowed from 60 to 90 days. Each missed quarter costs $2M in projected revenue." Now AI can actually help you. With a clear problem, you can ask targeted questions:  • Analyze patterns in top-performing deals  • Research what drives faster sales cycles in your industry • Generate hypotheses about pipeline bottlenecks 𝗧𝗵𝗲 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲: 1. Define the specific problem and its business impact 2. Quantify what success looks like 3. Use AI to research and validate solutions Six months of applying this approach will transform how you work.  Not because you become an AI expert, but because you master problem definition. The best AI users aren't prompt engineers. They're problem definers. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝗵𝗲𝗿𝗲: https://lnkd.in/eHDpy-fn Found this helpful?  𝗟𝗶𝗸𝗲 𝗮𝗻𝗱 𝗿𝗲𝗽𝗼𝘀𝘁 to share with your network. 𝗙𝗼𝗹𝗹𝗼𝘄 𝗺𝗲 for more insights on using AI strategically in business. Got a specific problem you're trying to solve? 𝗗𝗠 𝗺𝗲 - I'd love to hear about it.

I'm now working with teams that are testing ChatGPT Agent Mode beyond basic website checks. They're finding ways to use it for competitive intelligence and website optimization that would normally take hours of manual work. Here are four out-of-the-box ways to get value from Agent Mode today: ➡︎ Test your website's experience for both AI and humans - Have Agent browse your site like a potential customer. Can it find your pricing page, use search, access dropdown menus, view your demo video, easily navigate your choose-your-own-adventure pages? This shows you problem areas that affect all your visitors. ➡︎ Check your conversion paths - Test whether Agent can complete key actions like download a PDF, sign up for a webinar or free trial, request a demo, add items to cart. Failed attempts show you where people get stuck in your funnel. ➡︎ Capture competitor ad intelligence - Screenshot competitor ads across platforms and have Agent analyze messaging, design patterns, and positioning. Combine this with Deep Research for complete competitive analysis. ➡︎ Analyze competitor website UX - Have Agent browse competitor sites, screenshot their user flows, and test their checkout processes. You'll get conversion optimization insights that most teams might miss. Agent today works well for website interaction and taking screenshots. In the future, we'll see constant monitoring, automatic updates to your CRM, and connecting different tools together. To get started, click the plus sign (+) in the ChatGPT chat bar and you'll see the new Agent Mode option. Then just give it plain English instructions. Many companies are being thoughtful about Agent rollouts since it can access any site you can access and stores session data. The use cases above are low-risk ways to start. They involve public websites and your own site, not sensitive internal systems. Use Agent (ChatGPT's browser-based tool that can browse websites and take screenshots) when you need to interact with websites, take screenshots, or test user flows. Use Deep Research (ChatGPT's research tool that pulls from multiple sources) when you need to gather information from many places, understand market trends, or create detailed reports. Agent works best for doing things on websites. Deep Research works best for understanding and connecting information from different sources. Start with testing your own website's experience for AI and humans. It's easy to do right away and often shows you blind spots in your user experience. What other use cases are you using Agent for? I'd love to hear what's working and not working for your team.

I've spent a lot of time hacking custom GPTs so they can handle nuanced tasks. Here's one trick I use almost every time: "Structure this interaction as an input flow.. Ask: [this question] Then, prompt the user to select from this list of options:" Repeat this as many times as you need to -- I have custom GPTs with up to 6 questions in an input flow By setting it up this way, you prompt ChatGPT to interview the user each time (and that's how you capture the nuance) Let's look at a content marketing example: Here's an input flow question I might use in a custom GPT that writes blog post drafts: Ask: "How familiar is this audience with CoLab?" Then, prompt the user to select from this list of options: -They've never heard of CoLab -They know about CoLab, but haven't started evaluating it -They're actively evaluating CoLab -They're a CoLab user or leadership sponsor Other questions I'd use in this same input flow: -What's the topic? -Who is the primary audience? -What key messages are we trying to convey? Just like a human content marketer, ChatGPT performs a lot better with a strong brief Input flows allow you to dissect the process, so that anyone in your company can provide a thorough, strategically aligned brief in just a few minutes Give this a try if you're disappointed with fluffy output from ChatGPT #b2bmarketing #contentmarketing