Leveling Up with Eric Siu

I show the AI skill workflow I use to run my YouTube channel: titles and thumbnails, long-form editing, timestamped feedback, and preparing a video for upload.

The 50x comparison is my reported experience with average views per video. The examples in this recording do not establish a matched before/after baseline or prove that the skill alone caused the change. My focus is on qualified leads, and human taste and review still matter.

Get access to the skills: https://skillsdojo.com/
AI marketing skills: https://www.singlegrain.com/skills
Work with Single Grain: https://www.singlegrain.com/
Full-time creator and editing roles discussed in this episode: https://www.singlegrain.com/careers

This walkthrough includes a recorded example from a Cody Schneider webinar edit, plus the marketer and founder videos used to demonstrate the workflow.

CHAPTERS
00:00 Reported results and the focus on leads
01:54 Thumbnails first
02:58 Directing the packaging
03:31 From packaging to the full edit and human taste
03:55 Reviewing a real edit
04:45 The timestamped review workspace
05:07 Join the Single Grain team
06:01 Review, repurpose and iterate
08:18 Specific thumbnail feedback
09:04 The improved result
09:45 A repeatable handoff
10:15 Work with Single Grain
10:38 Getting the edit ready to upload
11:11 YouTube Studio and upload friction
12:41 Operator, creator and team workflow
14:07 The business payoff and skill access

How to Connect
IG: / ericosiu
X: / ericosiu

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com
👉 Single Grain - AI marketing firm https://www.singlegrain.com
👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/
👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

AI agents are changing how marketers work. I walk through the content loops, team bots, repurposing workflows, and paid-media preparation I use across Grokbot, OpenAI Dots, Codex, and Meta Muse—and where marketing judgment still matters.

Get the skills mentioned: https://skillsdojo.com/
Join our team: https://www.singlegrain.com/careers

Chapters
00:00 Results, then the workflow
02:19 Find demand and build the content loop
08:57 Put agents inside the team
10:03 Join Single Grain
16:02 Repurpose with taste
19:54 Work with Single Grain
20:18 Work across tools with OpenAI Dots
21:44 Apply marketing judgment to AI output
24:32 Prepare paid media with Meta Muse
27:13 Marketing fundamentals are the advantage

How to Connect
IG: https://www.instagram.com/ericosiu/
X: https://x.com/ericosiu

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com
👉 Single Grain - AI marketing firm https://www.singlegrain.com
👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/
👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer.
https://www.singlebrain.com

I use Grok Bot and Jev to find content gaps, review drafts, and measure our AEO and SEO work. In this walkthrough, I show the routines, real WordPress drafts, citation checks, human review, and a mistaken hold I had to correct.

I also show how Muse and Codex help turn ideas into a landing-page draft. This rollout is early. I explain the indexation issue and what I am measuring before scaling.

00:00 Show the system
00:15 Inputs and routines
01:40 Decide what to draft
05:09 Human review
05:59 Real draft outputs
07:41 Search fundamentals
08:17 Measure and correct
11:49 Repurpose with judgment
13:11 Muse to Codex handoff
16:07 Build, measure, iterate

👉 Single Grain - AI marketing firm
https://www.singlegrain.com

👉 Get 25k Words of AI-Powered SEO Content:
https://clickflow.com/

👉 Growth Newsletter for top marketers:
https://levelingup.beehiiv.com/subscribe

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com

I was using Jev after the expensive model had already done the work. In this video, I show the mistake, the filtering workflow I changed, and how I define criteria before trusting the output.

We walk through real content examples, Grill Me versus Grill Me Overview, pre- and post-work checks, and why a human still needs to inspect the evidence. In one batch, Jev passed 189 of 517 chunks to the costly model. That is a filtering result, not a measured percentage of money saved.

Clarifications: The 198/225 and 189/517 figures come from different datasets, not a controlled before-and-after test. Jev’s Noul returns the probability of yes; Choice selects an option; Score rates against ordered criteria. Score is not a confidence score.

Chapters:
00:00 The biggest Jev mistake
00:14 Filter before the expensive model
01:07 Define the right criteria
02:23 Grill Me: questions one at a time
02:43 Work with Single Grain
03:05 Grill Me Overview: batch the questions
04:36 Add pre- and post-work gates
05:15 The real article and evaluation path
06:08 Keep a human in the loop
06:52 Teach your team the workflow

Footage and sources: Eric Siu’s original camera and screen recording. Single Grain website footage is retained from the original edit. Grill Me is credited in the narration to Matt Pocock; the article and workflow excerpts appear within Eric’s recorded screen demonstration.

How to Connect
IG: https://www.instagram.com/ericosiu/
X: https://x.com/ericosiu

👉 Single Grain - AI marketing firm https://www.singlegrain.com
👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/
👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe
👉 Connect your tools with Single Brain Gateway: https://www.singlebrain.com/gateway