The Agency Leadership Podcast with Gini Dietrich and Chip Griffin

AI has evolved enough now that one-shotting entire deliverables is tempting, and many people online claim to be doing just that. In this episode, Chip and Gini discuss why that’s a bad idea, and how you can train your AI tool to give you less slop-like content.

Chip is fed up with receiving one too many pieces of material with no human thought applied to them, not in preparation, not in editing, not even in the decision to hit send. His take on the broader one-shotting trend is that when the result is actually good, it’s rarely a true one-shot. The person usually spent months feeding their AI tool context first, the same way a good off-the-cuff article draws on years of accumulated expertise.

Gini suggests treating AI like a capable intern. You wouldn’t send an intern’s first draft straight to a client, so don’t do that with AI either. She describes going back and forth with her tools so much that Claude once asked her to batch her edits instead of making them one at a time. Chip pushes back on the intern comparison, arguing that with enough context and consistent feedback, AI has moved closer to a capable mid-level colleague. That feedback loop is also the focus of Gini’s internal training program, Slack sessions where the team is currently learning to push back, reject, and refine AI output instead of just accepting it.

However, don’t make the mistake of thinking that because it needs your guidance, AI isn’t worth using. Being the human in the loop doesn’t make you the savior of your business. Owners who rely solely on humans without using AI are making as grave of a mistake as people who think they can replace themselves entirely with AI. [read the transcript]

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If you’re screening candidates on experience or technical skills, you may be making a mistake. In this episode, Chip and Gini make the case that curiosity and problem-solving are the two traits that separate great hires from mediocre ones, and neither one can be taught from scratch.

Most agency skills, from writing a press release to running Google Ads to using AI tools, can be picked up on the job. Curiosity and problem-solving are different: people either arrive with some baseline capacity for them, or they don’t. Gini makes it about AI, where ever-evolving tools and audience behavior reward the people who keep asking questions instead of coasting on routine.

The two discuss how to actually screen for these traits in a couple hours of interviewing. Gini leaves 15 to 20 minutes at the end for the candidate’s questions and reads a lot into what they ask, or whether they ask anything at all. Chip changes up the order entirely, opening by asking the candidate what questions they have for him before he’s asked anything himself, and he’ll throw a candidate’s own question right back at them to see how they handle being put on the spot. Both dismiss scenario-based questions and interview theater like “what animal would you be” as close to useless. Gini also flags a habit she’s trying to break on her own team, being “Gini-GPT,” where people default to asking her for the fast answer instead of working through problems themselves. [read the transcript]

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Some advisers are telling agency owners they don’t need to know AI all that well themselves. They suggest owners go deep on AI for a month or three, then pass the day-to-day to the team and move on with life. In this episode, Chip and Gini explain why that’s backwards, and how owners who step back from AI are making a mistake.

Chip’s argument is that AI doesn’t fit the usual delegation model because it’s moving too fast and touching too much of the business to hand off after just a few months of study. Gini agrees, noting that advice which made sense six months ago is often stale today. Both connect this to credibility with the team: Chip compares the situation to a non-technical manager overseeing developers, who then gets disrespected because they don’t speak the language. Gini says her own coaching works because she’s in the tools constantly enough to give specific workable advice.

They also describe pushing AI into something closer to a personal operating system than a work tool, from Chip wanting an assistant that catches him contradicting his own past positions, to Gini’s agent that calls her out when she takes on work she said she’d delegate, telling her flatly it’s not the best use of her time. The episode closes with the advice that staying curious personally is what keeps owners sharp enough to lead a team through a tool that keeps rewriting its own rules. [read the transcript]

The post ALP 314: Agency owners need to get their hands dirty with AI appeared first on FIR Podcast Network.

Times change, but somehow the job hasn’t. In this episode, Chip and Gini dig into what’s stayed constant across their combined decades in PR and marketing, and why chasing the latest platform update is a losing game if you’ve lost sight of the fundamentals underneath it.

The episode was sparked by a LinkedIn series from Doug Simon, who asked longtime PR pros what has remained constant in their careers. Gini was asked the question of whether the PESO Model still holds up, and her answer is that the four media types haven’t gone anywhere, and earned media’s third-party credibility now matters more to how LLMs learn. Chip extends the logic to SEO and its successors, advising to chase the people, not the algorithm or the platform.

Other changes may also have less of an impact than you might think. Influencer marketing is the latest version of celebrity TV endorsements, but with a YouTube channel. The agency-client relationship continues to run on the same dynamics it did 70 or 80 years ago. Gini brings up the story about a UK agency reportedly running AI agents to pitch journalists undetected for eight months. Chip’s take is that just like with interns and inexperienced team members, there are well-managed AI agents as well as poorly managed ones. It’s the human factor that matters most. [read the transcript]

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Most agency owners probably haven’t thought much about shadow AI (the name for when employees use their personal ChatGPT, Claude, or Gemini accounts to do work). In fact, owners may be doing it as well. In this episode, Chip and Gini walk through what the risks are and how to respond without overreacting.

The instinct to crack down is understandable but wrong. Employees are going to use their own tools regardless, often because personal accounts are better trained or more accessible than whatever the company has set up. The goal should be education, not elimination. Most employees don’t know that personal accounts default to feeding data into training sets, or that a single toggle can turn that off. That one fix alone is worth a conversation with your team.

Vibe coding and a plain-language AI policy get discussed, in addition to educating your team. Gini’s team runs weekly micro-learning sessions to help people use AI as a thinking partner, not just a drafting tool. Both Chip and Gini advise that owners and employees who aren’t using AI meaningfully within the next year or two are putting their careers and businesses at risk. [read the transcript]

The post ALP 312: Managing “Shadow AI” at your agency appeared first on FIR Podcast Network.

Most agency owners will tell you accountability is something they value, but fewer will realize they’re often the biggest obstacle to it. In this episode, Chip and Gini offer suggestions for how to stop being the bottleneck at your agency.

Chip tells of his own recent experience where he missed putting out a newsletter after an emergency root canal. Even with Jen repeatedly pinging him, the decision of whether to get something done rested with him. Most employees won’t push back hard because they know who signs the paychecks. The exceptions are rare, and you can’t build your accountability system around them.

Gini’s structural fix has been making “less founder dependence” an explicit OKR, tracked at every leadership meeting. When the goal shows up red on a dashboard, the visibility creates its own pressure. Chip thinks it’s less about any specific single system. AI has helped him stop some procrastination, but it’s also added new projects he’d never have attempted before. His takeaway is that you need to figure out what works for your specific wiring, and not rely on someone else’s approach.

For external accountability, peers, coaches, and organizations like YPO or Vistage can help, particularly for big-picture questions you wouldn’t bring to your team. But formal advisory boards are another story. Both Chip and Gini are skeptical, since even paid corporate directors with legal obligations frequently fail at the oversight function. For owner-led agencies, the complexity almost never justifies the benefit. [read the transcript]

The post ALP 311: How can agency owners hold themselves accountable? appeared first on FIR Podcast Network.

You’re using AI to handle more of the work that your team used to do. That’s exactly why the human side of the business has become a competitive advantage.

In this episode, Chip and Gini make the case that as AI slop floods everyone’s inbox and feeds, the bar for genuine human interaction has dropped so low that clearing it will make you stand out. Demonstrating real experience and expertise in conversation — not just in content — is where agencies will win.

That starts with having actual conversations. Chip argues that meetings have become more valuable, not less, because you can’t fake a real-time interaction the way you can a written deliverable. And Gini adds that it extends to one-on-one meetings with your team, which can be used to get the specific decisions needed from you.

Written content is increasingly hard to trust, and Chip admits even he can’t reliably tell his own writing from AI output. Video helps close that gap for now. So does the handwritten note, which Chip still sends to podcast guests when he can track down an address. He jokes that the illegibility is proof of authenticity.

In person beats everything. Chip pushes agency owners to budget for it deliberately, with clients, prospects, and remote team members alike. Gini mentions the Augusta Rule as one way to offset some of those costs, though both are quick to say talk to your accountant before you try to benefit from it. [read the transcript]

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Most agency owners think their clients have it easy. But the gap between how you believe your agency operates and how clients and prospects actually experience it is often wider than you’d expect, and it’s usually the small, everyday frictions that do the most damage.

In this episode, Chip and Gini ask if you were on the receiving end of your own agency’s processes, would you be happy? The answer, for a lot of agencies, is probably not. Their point isn’t that agencies should cave to every demand, but if you market yourself as a partner, act like one.

The friction can start before someone even becomes a client. Contact forms loaded with qualifying questions scare people away. And back-and-forth emails to find a meeting time have no excuse in 2026. Use a scheduling tool, have a link ready, and make it especially easy for prospects. Once someone is ready to talk, the goal is to respond fast and remove every obstacle.

When it comes to the handoff from prospect to client, agencies should have a standard proposal template so they can turn paperwork around in 24 hours, not days. Make invoicing and payments as easy on the client as you would want it to be if you were in their shoes. And when it comes to project management tools, if the client already has one they’re using, just use it. The tool matters less than having one. [read the transcript]

The post ALP 309: Is your agency easy to work with? appeared first on FIR Podcast Network.

Most owner-led agencies know they should be doing more than media relations. One barrier has always been capability: you can’t execute paid media if nobody on your team knows paid media. AI is removing that barrier, and Chip and Gini dig into exactly how.

Gini built a PESO model operating system AI that prompts you instead of you prompting it. Many agencies are strong in one or two media types and need scaffolding to think through the rest. The tool can be used to help agencies execute unfamiliar disciplines step by step.

Chip frames this as an opportunity to do things that were theoretically possible two years ago but practically out of reach. A paid campaign to amplify a blog post no longer requires hiring a specialist. Beyond drafting, both hosts made a case for AI as a learning tool instead of merely a content machine. Gini tested this directly by vibe-coding a PESO model diagnostic, working through multiple versions with AI troubleshooting each step.

The practical upshot is that you can use AI to build separate knowledge-rich agents for each media type, loaded with client messaging and context, and treat them as thought partners for areas where your team lacks depth. It won’t eliminate the need for people or strategic thinking, but capability is no longer a credible excuse for staying stuck at one letter of PESO. [read the transcript]

The post ALP 308: Using AI to extend your agency’s PESO Model expertise appeared first on FIR Podcast Network.

Losing a client is never fun, even when you saw the writing on the wall. The only question is how you choose to handle it. In this episode, Chip and Gini cover the practical and emotional side of client departures, from the moment you get the news to the lessons you take away.

Gini points out that there are plenty of reasons a client could terminate the relationship, which may have nothing to do with your work. Strategy changes, budget cuts, and leadership turnover all end client relationships that were otherwise going fine.

Chip’s advice is to not react immediately. Ask for a couple of days to review the agreement and put together a transition plan. That space lets you get the emotion out before you say something you’ll regret.

Once you have your bearings, focus on making the exit clean. Read your actual contract, confirm the notice terms, and hand over everything the client needs: documents, passwords, contacts, work in progress. Chip is blunt about agencies that fight clients on the way out — it accomplishes nothing and just guarantees a bad final impression. Don’t burn any bridges and you just might see those clients come back or send you referrals.

Finally, be honest with your team about what the loss means for the business. If there are financial implications, say so before people start drawing their own conclusions. [read the transcript]

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