My Actual Social Media Strategy For 2027 - The Algorithm
In a Nutshell
The core message is to treat content creation as a manufacturing process using five steps from Tesla's algorithm: question requirements, delete unnecessary steps, simplify/optimize, accelerate timelines, then automate last. The key takeaway is that quality volume beats either perfection or quantity alone, and in the trust economy, the full truth—including failures—converts better than polished lies.
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Content creation involves two opposing forces: making good content and making lots of content. The magic lies in the middle, referred to internally as qual - creating quality volume. Content creation is a manufacturing process, specifically digital manufacturing, where raw input (recording video) becomes output (social media posts that generate views, likes, shares, leads).
The five steps come from the book The Algorithm by Tesla's former president, which describes Elon's approach to manufacturing. This process was made mandatory for all team members who report to the speaker.
Step 1: Question the Requirements
The first step is to question the requirements. A key indicator that something takes too long is comparing actual time on task versus total delivery time. For example, if actual work takes 10 hours but delivery takes a week, everything outside the 10 hours is waste from a business perspective.
When questioning requirements, use these three questions:
- What does that mean?
- How do you know that?
- So what?
An example given: color grading was questioned as a requirement. The speaker noted that some of their best videos weren't color graded, and some color-graded videos performed poorly. No evidence showed color grading improved performance, so it was removed from the process.
Step 2: Delete What Doesn't Matter
After questioning requirements, delete everything that doesn't matter. Elon Musk's rule of thumb: delete so much that you have to add stuff back later. This serves as a litmus test because people fear deletion, but steps can always be added back if needed.
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