In a recent LinkedIn post, Alicia Teltz discusses a structured approach to content creation, moving beyond generic AI prompts to build a sustainable system. Teltz emphasizes the importance of leveraging AI tools, specifically naming ‘Stanley’, not to automate content entirely, but to enhance a personalized and strategic workflow.
The core of Teltz’s strategy involves using AI to analyze existing content, understand audience pain points, and refine drafts for better engagement. This method, she argues, is a more effective use of artificial intelligence than simply asking it to “write me a LinkedIn post about X.”
“Stop asking AI to ‘write me a LinkedIn post about X.’ I’m beeeggggging you!! 🙏🏻”
Teltz outlines a ten-step process designed to transform the often-daunting task of regular posting into a manageable system. This framework begins with an “Identity Crisis” phase, where the AI tool is prompted to understand the user’s unique profile, tone, and past performance.
Leveraging AI for Strategic Content Analysis
The process then moves into strategic analysis. As Teltz explains, the second step involves a “Strategy Check” by prompting the AI to “Analyse my content performance.” This allows for data-driven insights into what’s working and where opportunities lie.
Further steps focus on staying relevant and understanding the audience. Teltz suggests using AI as a “Trend Spotter” to identify trending topics within a specific niche and a “Pain Analyser” to pinpoint customer pain points. This ensures content is not only timely but also deeply resonant with the target audience.
“Turns vague themes into very specific problems → Basically hands you what people are already thinking.”
From Idea Generation to Optimized Output
The latter half of Teltz’s system focuses on drafting and refining content. The “Idea Dump” phase encourages generating multiple post ideas, from which the user selects the most promising. This is followed by a “First Draft” prompt, where the AI is directed to write in the user’s established tone, avoiding the generic feel of unrefined AI output.
Teltz stresses the importance of iterative improvement, incorporating an “Optimiser” step to enhance reach and engagement, and a “BS Detector” to ensure authenticity.
Ensuring Authenticity and Efficiency
A critical element highlighted by Teltz is the necessity of maintaining an authentic voice. She warns against content that “smell[s] too AI-sy.” Additionally, the system includes an “Image Creator” for visual assets and a “Rinse & Repeat” step to batch content efficiently for the week ahead.
“The irony here is that I’m very much using AI to write about how not to use AI, but to use good AI instead. A full circle moment. But as you can see, good AI works brilliantly. 🤓”
Teltz addresses potential cost concerns, arguing that the investment in a tool like Stanley is more justifiable than the cost of inconsistent posting yielding no results over time. She concludes by offering resources for her audience, including a free trial for Stanley and an upcoming LinkedIn Live session on crafting a content strategy.
📝 About This Content
This article is based on insights shared by Alicia Teltz on LinkedIn.
📅 Originally posted on March 26, 2026 | View original post on LinkedIn →