I worry marketing is heading in the wrong direction. AI startups promising to reimagine it are reimagining it in a really bleak way. I’ve watched as new AI marketing apps promise to learn ‘who you ar…

LinkedIn Content Strategy & Writing Style
Marketing (CMO, SVP) | All things AI | Sequoia Scout | Advisor
5 people tracking this creator on Viral Brain
Kieran Flanagan positions himself as a high-level strategic bridge between marketing leadership and technical AI implementation, moving beyond the hype to focus on operational agency. His content strategy centers on the "AI Mode" philosophy, where he advocates for domain experts to use agentic workflows and "vibe coding" to go deeper into their craft rather than delegating it away. He is notable for his ability to translate complex LLM behaviors—like probabilistic sampling or AEO poisoning—into high-stakes business frameworks such as "shipping clarity" and "reimagining the factory floor." By intersecting CMO-level positioning expertise with hands-on technical experimentation, he provides a blueprint for the modern high-agency operator who treats AI as a tool for obsessive detail rather than a machine for generic output.
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3.3 posts/week
Posts / Week
2.3 days
Days Between Posts
7
Total Posts Analyzed
HIGH
Posting Frequency
340.2%
Avg Engagement Rate
STABLE
Performance Trend
400
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.84/10
Uniqueness Score
NO
Question Usage
0.3%
Response Rate
Writing style breakdown
<start of post>
The 'AI Slop' threshold is the new ceiling for professional growth.
I’ve spent the last week looking at how different teams are integrating LLMs into their daily workflows. The results fall into two distinct buckets.
Bucket 1: The Slop Machine.
These people use AI to avoid thinking. They take a 2-sentence brief and turn it into a 1,000-word memo that says absolutely nothing. It’s grammatically perfect, structurally sound, and entirely useless. It’s 'reimagining synergies' and 'leveraging holistic frameworks' without a single specific data point.
Bucket 2: The High-Agency Operator.
These people use AI to think deeper. They use it to stress-test their logic, find holes in their data, and build tools that allow them to do the work of an entire department.
The difference isn't the model they use; it's the domain expertise they bring to the prompt.
I saw this in action yesterday with a marketing lead.
She didn't ask the AI to 'write a strategy.' She gave the AI her last six months of conversion data, her competitor's pricing pages, and her customer interview transcripts. Then she asked it to find the 'positioning wedge'—the one specific problem her product solves that the competition ignores.
→ Clarity over features.
She used the AI to do the heavy lifting of synthesis so she could spend her time on the high-value task of decision-making.
The takeaway: AI doesn't replace the need for expertise; it amplifies it. If you're a mediocre marketer, AI will make you a faster mediocre marketer. If you're a great marketer, AI mode makes you a god.
We are moving into an era where 'doing the work' is cheap, but 'knowing what work to do' is everything.
Don't be a slop machine.
<end of post>
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