In this episode of The Prompt, Jim takes the Matrix idea of “I know Kung Fu” and brings it down to Earth with Claude Skills, reusable instruction sets that let AI remember how a business actually works. His argument is simple: most people are still wasting time re-explaining tone, process, and standards in every new chat, and that setup cost is what keeps AI stuck at “helpful demo” instead of becoming part of real operations.

Jim walks listeners through five Claude Skills he thinks are worth installing right now. The big takeaway is hard to miss: AI gets better when standards become infrastructure. As Jim puts it, “The future of AI at work probably does not belong to the person with the most prompts. It belongs to the person with the best systems.” That makes this episode especially useful for founders, operators, and anyone tired of getting AI output that is 80 percent right and 20 percent annoying.

One of the sharpest examples comes from contracts. Jim talks through the messy reality of drafting agreements across multiple tools, then shares how a $250 renewal notice pushed him to build QuickSign Pro. It is a good reminder that the best automation ideas usually come from friction people are sick of tolerating.

QuickSign Pro, is built around getting from AI-assisted drafting to legally compliant e-signatures without duct-taping five tools together. Get started for free here: https://quicksign.pro/

This episode is really a push to stop improvising and start building playbooks AI can actually follow.

Listen in, then do the one thing Jim recommends: install one Skill this week, use it on real work, and see whether it saves time, improves quality, or just moves the mess around. That test will tell listeners a lot. Want the practical walkthrough of how to connect this new skill via your favorite like Claude, Chat, etc.? Start here: AI Agent Drafts Contracts 🔗

If this sparked something, join Jim in his Slack community Control, Alt, Build to keep learning how real teams are putting agents to work. See what other leaders are doing here: https://jimcarter.me/ctrl-alt-build-ai-community/

Three thousand dollars, two months, and no biology background. That’s the jump-off point for this episode of Jim’s show, and it’s why this story lands so hard.

Jim unpacks the case of Paul, an Australian tech entrepreneur who used AI to help design a custom mRNA cancer vaccine for his dog Rosie after standard treatment had failed. Rosie had aggressive grade three mast cell cancer, the kind with brutal odds, and the vets had basically run out of road. Instead of stopping there, Paul paid to sequence the tumor, used tools like ChatGPT and AlphaFold-style systems to help identify likely cancer-linked mutations, and then took that work to real researchers and clinicians who turned it into a vaccine.

What makes the episode so strong is that Jim doesn’t pitch this as some magic AI miracle. He’s careful about the limits. He points out that AI can speed up early analysis, help sort genetic variants, and reduce the bioinformatics bottleneck, but it can also hallucinate, miss important biological complexity, and absolutely cannot replace lab work, safety checks, or expert review. That balance is the real value here.

The bigger takeaway is that this isn’t just a story about one dog. Jim uses Rosie’s case to show what happens when a motivated outsider uses AI well: not as a final answer, but as a way to ask better questions, move faster, and get to the right experts sooner.

That’s the reason this one matters. It’s about personalized medicine, yes, but it’s also about initiative, access, and what AI can do in the hands of someone who refuses to sit still.

If that idea lights something up, this is an episode worth hearing. And if listeners want to put AI to work in their own world, Jim points them straight to his CTRL, ALT, BUILD community to keep the momentum going. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

58% of clicks gone. Just like that.

That’s the gut punch Jim Carter opens with in this episode of The Prompt, and it sets the tone fast: if a business still depends on Google sending traffic the old way, the ground has already shifted.

Jim walks through what’s happening with Google’s AI Overviews and why so many sites are seeing their traffic fall off a cliff. He explains how the old SEO playbook used to be simple: publish useful content, rank near the top, and wait for the clicks. Now Google is answering more questions directly on the search page, which means users often never make it through to the website.

One of the strongest moments in the episode is Jim’s restaurant analogy. For years, people walked past the menu and came inside. Now there’s a kiosk outside the door handing out free samples made from everyone’s food, and people leave feeling full without ever stepping inside. That’s his way of showing what AI Overviews are doing to publishers, bloggers, and service businesses.

He backs it up with hard numbers. Studies from Ahrefs, Seer Interactive, Kevin Indig, and publisher reports all point in the same direction: major click loss, especially for informational searches. He also flags the industries taking the biggest hit, including travel, pets, DIY, mental health, and personal finance.

But Jim doesn’t leave it at doom and gloom. The useful shift here is clear: the goal is no longer just ranking number one. It’s becoming a source the AI cites.

“The old plan of ranking and waiting for clicks is fading. The new plan is building trust, getting cited, and becoming a source AI wants to use.”

For anyone creating content, running a business, or advising clients, this episode is a wake-up call and a practical reset. Listen in, rethink the content strategy, and grab Jim’s free audit plan and Slack community from the show notes if it’s time to build a smarter playbook.

If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

Looking for Jim's content audit and adaptation playbook? Find it here: https://jimcarter.me/newsletter/google-took-58-percent-from-us