The 2026 LinkedIn AI Strategy (Step by Step)

Imagine an AI tool spending 16 minutes scouring the internet to compile a dossier about you so detailed it understands your motivations and goals better than you might yourself. This deep, personal context—not clever prompts—is the secret weapon for creating AI-assisted content that actually stands out in a sea of generic slop. Charlie Hills, who grew a LinkedIn audience to over 200,000 followers in under 18 months, argues that the old playbook of “prompt engineering” is obsolete. To create content with a genuine human edge, you need a systematic approach that starts with building a rich, personal knowledge base for the AI.

Charlie’s system is encapsulated in the “CHEF” framework, modeled after a chef preparing a meal. The first step, Curating Context, involves using an AI’s “deep research” feature to build a comprehensive report on yourself, pulling from your online footprint and personal history. This creates a repository of your unique story and expertise. Next, Heating means taking that context and using it within a persistent “project” in your AI tool, where the context compounds, allowing the AI to generate drafts that sound authentically like you instead of spouting generic advice. Then, you Enhance the draft by manually adding flavor, using targeted edits and frameworks like “SPICE” to inject storytelling and personal nuance.

Finally, you Feed the content to your community, emphasizing that publishing is only half the battle. Genuine engagement, like using a custom GPT to create insightful pinned comments on your posts, is crucial for building relationships and boosting performance. The entire process shifts the focus from writing perfect one-off prompts to constructing a reusable system where the AI is deeply familiar with your voice and experiences, enabling consistent, scalable content creation that resonates.

Surprising Insights

• Context, Not Prompts, is King: The most powerful shift is from “prompt engineering” to “context stacking.” Feeding the AI a deep, personal knowledge base about yourself yields more unique and authentic outputs than any single clever prompt.
• AI’s “Deep Research” is a Secret Weapon: Major AI platforms have a little-known “deep research” mode that can autonomously scour the internet for information. Using it on yourself compiles a startlingly comprehensive personal dossier in minutes.
• “Projects” Trump GPTs for Consistency: While custom GPTs are popular, using a platform’s “project” feature is more powerful for content creation because it allows context to compound across sessions, unlike GPTs which can forget previous interactions.
• The Best Way to Prompt is to Reverse Engineer: Instead of writing prompts from scratch, a highly effective method is to feed the AI your best existing work and prompt it to “reverse engineer” your style, tone, and rhythm.

Practical Takeaways

• Run a “deep research” report on yourself. In ChatGPT or a similar tool, upload your LinkedIn profile or a bio and prompt it to conduct a deep research report on your background, achievements, and future goals to build your foundational context library.
• Use a “project” to house your context. Create a new project in your preferred AI tool and upload your deep research report along with past examples of your best writing. Use this as your dedicated space for all content creation.
• Enhance drafts with the SPICE framework. When refining AI-generated drafts, use the SPICE copywriting formula: Situation (set the scene), Problem (state the conflict), Intervention (your action), Change (the result), and Evidence (proof it happened).
• Leverage the “Ask AI” feature for targeted edits. Instead of prompting the AI to rewrite an entire piece, highlight specific sentences or paragraphs and use the “Ask ChatGPT” (or equivalent) feature to make precise, context-aware improvements.