Advantages of Custom Gpts for Businesses

After two years as a daily power user of ChatGPT, I’ve hit two major breakthroughs recently that have completely changed the way I use Gen AI tools for work. Here’s what I’ve discovered and how it might inspire your approach. 💥 Breakthrough 1: Using GPT-4 Pro for Software Development GPT-4 Pro isn’t for everyone. It’s slower, more deliberate, and requires detailed instructions up front. Oh, and its $200/mo. But for complex work—like coding—it’s a game-changer. My workflow looks something like this: -- Spend 5–10 minutes crafting a detailed prompt with specific instructions. -- Wait a 45 seconds or so for a response. -- Receive a complete, high-quality result without an omissions. For software development, this has saved hours of rewriting, debugging, and refactoring code. The model delivers clarity and precision that earlier versions struggled with. As promised, GPT Pro is like replacing an entry level assistant with a senior contributor with a graduate degree. 💥 Breakthrough 2: Building Custom Training Data for Repeatable Tasks Custom training data has made ChatGPT exponentially more useful for domain-specific tasks. Think: answering customer service questions, analyzing ad performance, or planning marketing content. Here’s the simplified process I’ve developed: -- Gather source material (manuals, FAQs, sample writing). -- Use ChatGPT to translate the information into machine-readable fragments. -- Upload this data into a private database. -- Train a custom GPT to access this information dynamically. -- Put it to work for repeatable tasks that previously required domain expertise. This approach mimics the complexity of RAG (retrieval-augmented generation) models without the need for complex setups. It’s efficient, scalable, and incredibly practical for day-to-day operations. 💥 Summary The beginner testing phase of AI is over. Forget the parlor tricks, now its all about how to unlock more value from AI using advanced models and more advanced work flows. How are you using Gen AI these days? Are you planning to pony up $200 for GPT Pro?

I built 3 custom GPTs to increase our Win Rates and Pipeline with AI. Here’s what they do and how you can build your own in just 10 minutes: 1. HockeyStack CMO This GPT has all of our internal documentation, ICP, customer list, blog posts, playbooks, some of my top performing Linkedin posts, and most importantly, our vision document for the next 10 years. It’s like a thought partner for me. How I use it: I give it a big question like “How can we expand our TAM to XYZ industries” and prompt it to ask me 5-6 questions before answering. With the answers, I get to think more, and in the end we build a strategy together. Outlines for content: For any content, it gives me bullet points and new angles to think about. Challenging my thoughts: The most surprising benefit of this GPT is its ability to challenge me to think bigger and more creative. I give it a prompt or idea and ask it to challenge me. We go back and forth, and some of my best ideas come from these conversations. 2. Role play I built a GPT that knows everything about HockeyStack and our ICP. Before calls, we share the people on the call and do role plays. After each role play, it rates the demo, sends us things to improve, and tracks progress over time. 3. Post-call template GPT Most AI follow-up tools spit out generic junk. This one doesn’t. With this GPT, we are able to upload the transcript and get great emails and CRM-ready inputs. (built by Nate Branscome) ------- Building these is super easy. You just need a ChatGPT license ($20/month) and go to CREATE GPT tab. Put all the context and your GPT is ready to go. It’s perfect for any task that doesn’t require a ton of data from your tech stack. I’m not the first to say it, and I won’t be the last, but… If you aren’t experimenting with these AI tools every day, you are falling behind. They are TOO powerful and TOO effective to ignore. Since building these GPTs, I have more clarity, never have the writer’s block, our sales team saves 10+ hours a week, and we are more prepared for each demo. Go build your own. If you have any questions, AMA in the comments.

if you're a cmo, this one is for you. you may not know that all of those meeting transcripts in your archives are a goldmine of training data. you’re probably already using a meeting recorder. you already give feedback every week on messaging, creative, positioning, or strategy. and yet, you’re still rewriting version one, or catching disconnects between what’s in the deck vs. what’s going live on social. i built a custom gpt trained on how i think: how i approve, how i edit, how i flag misalignment. now, before anything gets to me (or our clients), it runs through that model first. it helps the team start closer to my standards, and reduces the number of cycles we burn getting to a yes. but what it unlocked was more than time savings. it gave me visibility across functions. when pr was pushing a message that hadn’t shown up in social, it caught that. when a leadership quote in a blog post didn’t match our investor narrative, it flagged the mismatch. and when something was technically fine but strategically off, it asked the right questions. you don’t need to over-engineer this. here's how to do it: - pull 5–10 transcripts where you gave meaningful feedback—especially where you clarified tone, positioning, or messaging. - gather any written examples of how you edit: doc comments, email replies, slack threads. - go to chatgpt > explore gpts > create. upload your materials and describe how you want it to review (tone, accuracy, message fit, etc). -keep it private or share with your direct reports via link. -test, refine, then fold it into your review process. this won’t replace your judgment. it just gives your team a tighter loop to work within. it reduces rework, protects your time, and helps keep messaging consistent and (insert mic drop moment) without needing you in every room. your brain is the connective tissue across the brand and this is one way to give it more reach. that way you can scale it without burnout and still hit the quality, consistency, and speed your results depend on. #cmo #brand #internalops #aiworkflow #executivealignment #genai #marketingops #PR

Microsoft released Copilot Pro - genAI integrated into MS products. Due to cost, you'll prob choose between Copilot and ChatGPT Teams. Copilot is awesome, but it's a commodity. Want to differentiate yourself? Five keys: First, I think copilot is phenomenal. I love it. It will help your people speed up their work, which speeds up productivity. But you’ll never be an AI-first company with it. What you’ve done is lower the rim on your backyard basketball hoop so everyone can play. That's not a bad thing! It's democratic and brings everyone along. But if you rely on Copilot to be your AI strategy, you’ll always be the same company. Just doing things faster. There is an alternative, friends. Get trained on how to deeply understand and use generative AI. Companies that do this will have the ability to radically improve: Strategy. Sales. Communication. HR and Recruiting. Legal. Leadership. Everything.  Across every department. (I’m working on this, BTW, and will be announcing something soon to help with this, free for everyone.) You probably can’t afford to do both OpenAI's ChatGPT Teams and MS Copilot. So let’s look at some differences: ++++++++++++++++++++++++++++++ 1. Customization and Flexibility ChatGPT for Teams offers a high degree of customization, allowing users to create tailored versions of the AI model, known as GPTs, for specific tasks or workflows. It’s like playing with a remote-controlled car, where you have the freedom to steer the vehicle in any direction you choose. This flexibility can lead to innovative uses of AI that are uniquely beneficial to your team's operations. ++++++++++++++++++++++++++++++ 2. Collaboration and Sharing ChatGPT for Teams is designed to foster collaboration, with features that allow users to share custom GPTs with others. This promotes knowledge sharing and team collaboration, enabling your team to collectively benefit from the AI's capabilities. ++++++++++++++++++++++++++++++ 3. Integration and Augmentation ChatGPT for Teams can be integrated into various workflows, augmenting your entire workforce This is not just about speeding up processes, but about fundamentally enhancing how your team works. ++++++++++++++++++++++++++++++ 4. User Interface and Experience MS Copilot Pro, on the other hand, offers a more streamlined experience, like a Hot Wheels car zooming along a guided track. It provides a tighter user interface with less room for customization While this simplicity can speed up processes and improve productivity, it may not fully leverage the potential of generative AI to augment your workforce. ++++++++++++++++++++++++++++++ 5. Differentiation and Commoditization MS Copilot Pro's approach is a commodity, providing a standard set of features that any organization can use. The customization and flexibility of ChatGPT for Teams can lead to unique applications of AI that differentiate your organization.

Teams are finding a new practical use for AI: helping people work better together. Go figure, it's not humans vs AI. It's AI helping humans connect with humans. Last week I shared how a marketing team transformed into a 45-member powerhouse in 6 months with 25 humans who built and trained 20 AI teammates using custom GPTs (AI tools built for specific team needs). Together, they now create content 75% faster, achieve 35% better campaign results, and qualify leads with 98% accuracy. The hard part wasn't the AI. It was helping people adapt to new ways of working. AI helped with this change (see the step-by-step playbook: https://lnkd.in/gwYnyNnd). Teams used AI for tasks and to help people understand each other better. Here are five examples across various companies I guide and support through their AI transformation journey: ► Supporting Team Transitions - A content marketer built an AI guide before her maternity leave. The guide shares her work methods and content knowledge with the team. This helps keep work smooth and consistent while she's away. ► Understanding Leadership Styles - A leader built an AI tool that shows how she works and makes decisions. The tool helps her team learn her style and suggests ways to work with her in different situations. ► Connecting Marketing, Sales, and Customer Success - A GTM team built an AI tool that learns from customer wins. It shows marketing how sales uses their content, and helps sales tap into customer success examples. Teams now see how their work connects. ► Working Across Cultures - A US marketing team built an AI tool to work with their Asia team. The tool understands local business customs, communication styles, and decision-making practices in each region. This improves global teamwork. ► Preparing for Board Meetings - A CEO built an AI tool using board member bios, talks, and LinkedIn profiles. When planning board updates, he uses it to understand each member's background and likely questions. This helps him prepare better materials. Teams are now creating custom GPTs for both everyday tasks and strengthening work relationships. Here are some examples: When people understand each other better, work moves faster and customers get better results. This matters most for marketing, sales, and customer success teams, where walls between groups slow things down (read about connecting GTM teams with AI: https://lnkd.in/gSU2_uev) What custom GPTs are you and your team building for better teamwork? #CustomGPT #Collaboration #GTM #AITeammates #AI

The NY Times recently carried this skeptical story “What if the A.l. Boosters Are Wrong?” Our position is contrary to the author of the paper -- we feel the biggest gains from AI will be from "new AI" goods (also called "new revenue") that will be generated from new AI-enabled products that will come onto the market. This trend is bearing out among the 8000+ businesses we work with -- what initially started as a "personal productivity" use case is now transitioning to a "new revenue" exercise. In other words, it’s less about how AI can help individuals be more productive, and more about AI driving new lines of business. To be fair, this is being driven by CFOs who are not too enamored with cost cutting -- but are more than willing to invest in new revenue drivers. Take the example of Microsoft -- by adding AI copilots into their products, they will now get the whole world to pay $8-$25 extra for their subscriptions. We are seeing similar trends among our customers where incorporating AI into their products or services creates such humongous value to their clients that the clients' are willing to pay extra. I am thrilled that our platform CustomGPT.ai lets businesses easily incorporate AI into their business model -- allowing the business to add in this extra "revenue driver". It could be AI-enabled functionality, AI-enabled workflows, or even AI-enabled sales agents that drive new sales.