1232 episodios
- 👉 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 - 👉 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
00:53 Filter before the expensive model
01:33 Define the right criteria
02:49 Grill Me: questions one at a time
03:09 Work with Single Grain
03:31 Grill Me Overview: batch the questions
05:03 Add pre- and post-work gates
05:41 The real article and evaluation path
06:35 Keep a human in the loop
07:19 Teach your team the workflow
Opening example footage: Simon Scrapes, “Jev for Claude is INSANE (Every Jev Concept Explained),” September 23, 2026: https://www.youtube.com/watch?v=D-Z5HnLW_ho
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 - 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com
I compare OpenAI Dots, Grok Bot, and Muse for real business work. We look at Slack policies and handoffs, content workflows, shared agents, and marketing and sales use cases.
Grok Bot is my current personal choice for the way I work. The best fit depends on your task, budget, and team. Keep a human in the loop and inspect the results.
Chapters:
00:00 Which agent wins for work?
00:15 How the three agents compare
01:41 Dots: business tasks
03:02 Dots: Slack policy and handoffs
06:02 Where Dots fits
07:04 Muse: content workflows
07:16 A message from Single Grain
07:46 Muse: proof and human review
11:54 Grok Bot: shared agents
13:00 A message from Single Brain
13:29 Grok Bot: real business use cases
16:07 My current choice and best use cases
Opening Dots footage: OpenAI, DevDay 2026. https://openai.com/index/devday-2026-recap/
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 - 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com
OpenAI's DevDay 2026 opens new ways for marketers to get discovered and build useful workflows. I walk through Dots, plugin discovery, Sign in with ChatGPT, the enterprise Marketplace, Decisions API, and Agents API, then explain what these changes could mean for AEO, SEO and paid media.
The opportunity: turn a workflow people need into something they can find and use. Access depends on the product, plan, partner and market. The enterprise Marketplace is a procurement channel; plugin discovery and paid ads are separate routes. Examples and forecasts are my analysis, not a promise of rankings or revenue.
Chapters:
00:00 Why marketers should care
00:34 Plugin discovery
02:26 Sign in with ChatGPT
02:59 Single Grain
03:28 A LinkedIn advertising workflow
03:46 The enterprise Marketplace
04:11 A broader discoverability playbook
04:58 Decisions API
05:17 Agents API and computer use
06:32 Package a useful workflow
07:18 AEO, SEO and paid media
Source and on-screen launch material: OpenAI's official DevDay 2026 recap
https://openai.com/index/devday-2026-recap/
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
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Leveling Up is a weekly interview series with entrepreneurs and marketers on the latest in business and marketing. Learn actionable strategies & tactics on how you can make your business grow and mistakes to avoid during your journey. Learn from individuals who have founded billion dollar companies to best-selling authors. Entrepreneur and host Eric Siu also shares insights and learnings along the way.
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