How to Use AI Without Creating More Slop
AI has made content creation faster than ever, which is wonderful news for everyone who wanted more mediocre blog posts floating around the internet.
I say that with love, mostly.
This week on the Human-First AI Marketing Podcast, I talked with Kristen Kent, founder of Evergreen Content Ops, about what she calls human-led, AI-assisted content. I love that phrase because it puts the work in the right order. The human leads. AI assists. The strategy, judgment, voice, customer understanding, and final call stay with the person who actually knows the business.
Kristen and I both work with content, AI, and small to mid-sized businesses, so we had a lot to unpack. We talked about content debt, legacy blogs, internal linking, case studies, employee onboarding, organizational knowledge, AI slop, and why leaders need to stop dumping 100 pages of ChatGPT output on their teams like a raccoon tipping over a trash can.
The big takeaway is simple: AI can make your content system smarter, cleaner, and faster when humans stay involved all the way through.
More Content Was the Old Mistake
For a long time, businesses treated content like a volume game.
Write more blogs. Post more often. Send more emails. Feed the beast. Keep the calendar full. Publish something because Tuesday arrived and the algorithm looked hungry.
That strategy created a lot of motion, and it also created a lot of waste.
Kristen pointed out that many companies rushed into AI with the same old content mindset. They saw how quickly AI could generate copy and thought, “Great, now we can make even more.” The problem is that content marketing was already struggling with volume before AI showed up in a shiny cape.
The internet already had enough content. Your buyers already had enough to read. AI answer engines now have even more material to summarize, compare, and ignore.
The real challenge is creating content that is useful, clear, trusted, and connected to what your audience actually cares about. For SMBs, this matters because your team has limited time. You need content that works harder because it is based on better thinking.
Human-Led Means Human All the Way Through
Kristen said human-led, AI-assisted content means the human is involved throughout the process.
That means the human shapes the strategy. The human defines the audience. The human protects the voice. The human checks whether the message actually lands. The human decides what matters.
AI can help brainstorm, organize, summarize, synthesize, draft, edit, repurpose, and connect dots. Those are useful jobs. Some of them are jobs AI can do beautifully.
The danger comes when teams treat AI like a vending machine for finished marketing. Put in a prompt. Get a blog. Post it. Repeat until the audience quietly loses the will to live.
Content still needs tone, voice, audience connection, content pillars, customer insight, and a point of view. Those were important before AI, and they still matter now. AI can support those things when you give it the right context and direction.
Content Debt Is Dragging Businesses Down
One of Kristen’s best points was about content debt.
A lot of companies have years of blogs, pages, PDFs, newsletters, training documents, and internal resources sitting around like boxes in the basement. Some of it is useful. Some of it is outdated. Some of it contradicts newer messaging. Some of it was written during the “we need a blog every week no matter what” era, and it has the emotional depth of a printer manual.
That pile can become a liability.
When your website has too much outdated or unfocused content, search engines and AI answer engines may struggle to understand what matters. Your audience can struggle too. They land on old pages, see stale information, or get pulled into content that no longer reflects your offer, strategy, or expertise.
AI can help here in a very practical way. You can use AI to audit old content, group similar posts, identify outdated material, find redundancies, spot gaps, and recommend which pieces to keep, combine, rewrite, redirect, or retire.
Before you create 50 new posts, clean up the 500 old ones.
Yes, this is the marketing version of cleaning the garage. Less glamorous than a campaign launch. Usually more useful.
Your Best AI Content May Already Exist in Conversations
Kristen and I both love using conversations as raw material.
Founders talk through ideas every day. Sales teams hear the same objections over and over. Customer service teams know where customers get confused. Employees understand the gap between the official policy and what happens in real life. Podcast interviews contain far more ideas than the episode title can hold.
That material is gold.
AI can help turn real conversations into usable content. Record an interview with a founder. Ask a customer success leader what questions clients keep asking. Talk with a compliance director about what employees need to understand. Then use AI to organize the transcript, identify key themes, pull out quotes, create FAQs, draft training materials, or shape a blog post.
That is what I sometimes call degenerative AI. Instead of taking a tiny prompt and expanding it into watered-down content, you start with rich human input and condense it into something clear, useful, and scalable.
That process protects the voice and improves the output.
Leaders Need to Stop Sending AI Homework Downhill
Kristen said something I loved: slop rolls downhill.
She was talking about leaders who send giant piles of AI-generated output to employees, contractors, or consultants without reading it, editing it, or deciding what matters. The team receives 30 pages of workflow ideas, strategy suggestions, or content drafts and then has to figure out what the leader actually wants.
That does not create efficiency. It creates confusion.
I have seen this too. A leader runs something through ChatGPT or Claude, sends the output to the team, and treats it like a strategic directive. Then everyone has to decode, validate, prioritize, and clean up the AI’s work while pretending this is progress.
Leadership still requires judgment.
If you use AI to think through a strategy, read the output. Decide what you agree with. Remove what does not apply. Add your own context. Give your team a clear direction.
AI can help leaders clarify thinking, but it should never become a fog machine pointed at the team.
Human Judgment Decides Whether the Message Lands
Toward the end of the episode, Kristen made a point that content leaders need to keep close. AI can generate options. AI can analyze metrics. AI can summarize patterns. AI can help you move faster.
Humans still need to decide whether the message lands.
Did customers understand it? Did it build trust? Did it reflect our values? Did it help someone make a better decision? Did it create clarity for the audience? Those questions require judgment.
AI may be able to tell you that a page got clicks, a campaign had engagement, or a message matched certain keywords. It cannot fully understand the human reaction behind the numbers. It does not know whether your customer feels seen, respected, helped, or confused.
That is why content marketing still needs writers, strategists, marketers, leaders, and customer-facing teams.
The Takeaway
Human-led, AI-assisted content is the path forward for SMBs that want to use AI wisely.
AI can help you move faster, clean up old content, organize knowledge, repurpose conversations, and support your team. The human role remains essential: strategy, voice, creativity, customer understanding, ethical judgment, and the final decision about what deserves to be published.
At Avenue9, this is how we approach Human-First AI Marketing®. We help businesses build the strategy, systems, and stories they need to punch above their weight without losing what makes them worth trusting.
Listen to the full conversation with Kristen Kent on Human-Led AI Assisted Content, and get in touch if you want help turning your real expertise into a smarter, cleaner, more human content system.
