You’ve hit the wall before. The campaign isn’t working. The leads feel off. The data says one thing, your gut says another, and everyone’s telling you to try something new.

In this episode, Jay and Sarah slow the moment down and ask a harder question: what if the tactic isn’t the problem at all?

Using real examples from recruiting, demand generation, client work, and internal decision-making, they unpack why leaders so often blame the channel, the platform, or the campaign, when the real issue lives upstream. They talk about blind spots, analysis paralysis, the danger of reacting to a single data point, and why small adjustments often outperform big, dramatic pivots.

This is a conversation about perspective. About knowing when to zoom out. About resisting panic. And about learning how to spot the real signal before you throw everything out and start over.

In this episode, you’ll learn:

• Why hitting a wall doesn’t mean your strategy is broken
• How fresh perspective exposes issues data alone can’t
• The difference between a tactic failure and an execution problem
• Why small changes often create outsized results
• How to reduce stress, noise, and decision fatigue when things stall

If you’re feeling stuck, overwhelmed by data, or tempted to overhaul everything because results slowed down, this episode will help you pause, recalibrate, and move forward with clarity — not chaos.

Contact Us:

Email: podcast@stringcaninteractive.com

Website: www.stringcaninteractive.com

Reach out to the hosts on LinkedIn:

Jay Feitlinger: https://www.linkedin.com/in/jayfeitlinger/

Sarah Shepard: https://www.linkedin.com/in/sarahshepardcoo/

Buy the Revenue Rewired book: https://www.amazon.com/Revenue-Rewired-Identify-Leaks-Costing-ebook/dp/B0FST7JCXQ

If you want better strategic input from AI, don’t ask it what you should do. Ask it what someone smarter, tougher, or more skeptical than you would do.

We use this constantly with our marketing team. Instead of “Write a blog about AI,” we’ll say, “Act like our most skeptical client, what’s your take on this trend?” Or, “You’re our smartest competitor. How would you position this better?”

That shift matters because it forces perspective, not preference. You’re no longer reinforcing your own bias, you’re challenging it.

This works just as well in sales. Have AI roleplay the objection that kills the deal. Ask it to think like a hard-nosed analyst, not a brand cheerleader.

AI is a pattern matcher. When you give it sharper personas, it reflects sharper thinking.

Bottom line: don’t just generate output. Generate perspective. That’s how you surface ideas you wouldn’t reach on your own.

Contact Us:

Email: podcast@stringcaninteractive.com

Website: www.stringcaninteractive.com

Reach out to the hosts on LinkedIn:

Jay Feitlinger: https://www.linkedin.com/in/jayfeitlinger/

Sarah Shepard: https://www.linkedin.com/in/sarahshepardcoo/

Buy the Revenue Rewired book: https://www.amazon.com/Revenue-Rewired-Identify-Leaks-Costing-ebook/dp/B0FST7JCXQ

You’ve heard the term over-servicing before. It usually sounds like a client problem. Or an agency problem. Or something no one wants to name out loud.

In this episode, Sarah is joined by Steve DePuys, Director of Client Services and Strategy at StringCan, to unpack what over-servicing actually means — and why it quietly erodes revenue, margins, momentum, and trust on both sides of the relationship. What starts as “just helping” often turns into blurred scope, inflated hours, missed expectations, and teams doing more work for less impact.

This conversation pulls back the curtain on the invisible work clients never see, the human instincts that drive scope creep, and why stronger boundaries don’t damage relationships, they strengthen them.

In this episode, you’ll learn:

• What over-servicing really is (and why it’s rarely intentional)
• How scope, budget, and schedule drift create hidden revenue leaks
• Why “doing a quick favor” often costs more than anyone realizes
• How AI, innovation, and skill gaps complicate modern service agreements
• Why stronger client boundaries lead to stronger client relationships

If you run a service-based business, manage clients, or work with partners who bill for expertise, this episode will help you spot the silent leaks, reset expectations, and build healthier, more sustainable working relationships, without sacrificing trust or results.

Contact Us:

Email: podcast@stringcaninteractive.com

Website: www.stringcaninteractive.com

Reach out to the hosts on LinkedIn:

Jay Feitlinger: https://www.linkedin.com/in/jayfeitlinger/

Sarah Shepard: https://www.linkedin.com/in/sarahshepardcoo/

Buy the Revenue Rewired book: https://www.amazon.com/Revenue-Rewired-Identify-Leaks-Costing-ebook/dp/B0FST7JCXQ

If you’re still prompting AI with, “Write this in my tone of voice,” you’re already behind.

There’s a hard ceiling on clever prompting. You can tweak words all day, but eventually the returns flatten. The real leverage doesn’t come from better prompts, it comes from better systems.

Think custom GPTs. Reusable workflows. Zapier automations. Even light scripting. The people seeing real ROI from AI aren’t babysitting prompts, they’re designing repeatable processes.

Instead of asking ChatGPT to clean up meeting notes every single week, build a GPT that already knows your structure, your voice, and your output requirements. Now it’s consistent. Now it scales. Now it saves time every time.

That’s the real shift, from one off prompting to programmable value.

You don’t need to be technical. You just need to think like a builder instead of a requester.

Bottom line: stop solving the same problem with a brand new prompt every time. Build it once. Let it run.

And if your AI output feels underwhelming or stuck at surface level, this episode will show you exactly why, and how to move past it.

Contact Us:

Email: podcast@stringcaninteractive.com

Website: www.stringcaninteractive.com

Reach out to the hosts on LinkedIn:

Jay Feitlinger: https://www.linkedin.com/in/jayfeitlinger/

Sarah Shepard: https://www.linkedin.com/in/sarahshepardcoo/

Buy the Revenue Rewired book: https://www.amazon.com/Revenue-Rewired-Identify-Leaks-Costing-ebook/dp/B0FST7JCXQ

You’ve seen sales and marketing clash. You’ve lived the messy handoffs. And you’ve probably wondered who should actually own what inside your revenue engine.

In this episode, Sarah and Jay unpack the real friction point between marketing and sales, where one ends, the other begins, and why the line between them is a lot gooier than anyone wants to admit. From cold email debates to personalization rabbit holes to the “who writes what” showdown that sparked this episode, they pull apart the blurry middle where most companies lose speed, clarity, and opportunities.

In this episode, you’ll learn:

• Why the marketing–sales boundary is murky (and why that’s normal)
• How tactics like cold email create ownership confusion
• The role of skill sets, context, and timing in deciding who leads
• Why communication, not org charts, fixes most misalignment
• How unified teams move faster and create a better prospect experience

If you’ve ever felt like your teams are stepping on each other’s toes, this episode will show you how to tighten the handoff, reduce the noise, and build a revenue flow that actually works.

Contact Us:

Email: podcast@stringcaninteractive.com

Website: www.stringcaninteractive.com

Reach out to the hosts on LinkedIn:

Jay Feitlinger: https://www.linkedin.com/in/jayfeitlinger/

Sarah Shepard: https://www.linkedin.com/in/sarahshepardcoo/

Buy the Revenue Rewired book: https://www.amazon.com/Revenue-Rewired-Identify-Leaks-Costing-ebook/dp/B0FST7JCXQ

Let’s reset the narrative for a second. Large language models don’t actually know things. They aren’t pulling from a live database. They don’t check facts in real time. What they do exceptionally well is predict language.

So when you hear someone say, “ChatGPT sounded confident, so it must be right,” that should raise a red flag.

These tools generate answers based on patterns, not certainty. There’s no internal meter saying, “I’m pretty sure this is accurate.” They’re optimized to sound authoritative whether the information is solid or completely off base.

That’s where hallucinations come in. Fabricated quotes. Data assigned to the wrong sources. Details that feel believable but were never true to begin with.

If you’re using AI as a source of truth, you’re setting yourself up for trouble.

The better move is to treat it like a thinking partner. Use it to spark ideas, outline a draft, or pressure test your thinking. Then do the real work: verify, validate, and apply judgment. AI should help you get started, not sign off on the final answer.

Bottom line: confidence is not accuracy. Use AI with intention, and always verify what matters.

Contact Us:

Email: podcast@stringcaninteractive.com

Website: www.stringcaninteractive.com

Reach out to the hosts on LinkedIn:

Jay Feitlinger: https://www.linkedin.com/in/jayfeitlinger/

Sarah Shepard: https://www.linkedin.com/in/sarahshepardcoo/

Buy the Revenue Rewired book: https://www.amazon.com/Revenue-Rewired-Identify-Leaks-Costing-ebook/dp/B0FST7JCXQ

Use AI not just to align with your thinking, but to challenge it. Prompting AI to write from a critical perspective, like a competitor or a tough stakeholder, can reveal unexpected insights and blind spots.

This practice forces you to anticipate objections and shows where your messaging, assumptions, or pitch might be weak.

Key takeaway: Make AI your sparring partner. Purposefully prompting it to disagree is the fastest way to strengthen your ideas and find your next breakthrough.

Contact Us:

Email: podcast@stringcaninteractive.com

Website: www.stringcaninteractive.com

Reach out to the hosts on LinkedIn:

Jay Feitlinger: https://www.linkedin.com/in/jayfeitlinger/

Sarah Shepard: https://www.linkedin.com/in/sarahshepardcoo/

Buy the Revenue Rewired book: https://www.amazon.com/Revenue-Rewired-Identify-Leaks-Costing-ebook/dp/B0FST7JCXQ

What if you could preview how your client will respond before you hit send? In this episode of Two-Minute AI Tips, Sarah shares how to structure AI to simulate client feedback, and why it’s one of the most underrated uses of generative tech.

In this episode, you’ll learn:

• How to create a lightweight “client mode” for AI
• Why simulating perspectives leads to stronger output
• What to feed the model to sharpen empathy and performance
  

Your best prompt might not be about content, it might be about context.

Contact Us:

Email: podcast@stringcaninteractive.com

Website: www.stringcaninteractive.com

Reach out to the hosts on LinkedIn:

Jay Feitlinger: https://www.linkedin.com/in/jayfeitlinger/

Sarah Shepard: https://www.linkedin.com/in/sarahshepardcoo/