Advertise on podcast: Leveling Up with Eric Siu

Get help implementing AI in your business: https://singlebrain.com Connect your tools through SingleBrain Gateway: https://singlebrain.com/gateway More AI tools won’t fix a broken workflow. You need a system for handing off work, reviewing important decisions, and checking what actually happened. I share the AI operating models we use across our companies: a bot fleet with a human in charge, the 1-3-1 decision rule, Trusted Continuation, recruiting, our AEO / SEO content loop, and daily workflows for review, content, and sales calls. The diagrams show how these workflows are organized. Recruiting goals and content volumes include targets and tests, not guaranteed results. Important decisions still require human approval. CHAPTERS 00:00 AI operating models across the business 02:17 The 1-3-1 decision rule 03:05 Trusted Continuation 04:24 SingleBrain — implementation 05:17 Recruiting funnel 06:47 AEO / SEO content loop 07:55 Storage and safety rails 08:39 SingleBrain Gateway 10:14 Daily review, content and sales workflows 11:58 Building AI fluency How to Connect IG: https://www.instagram.com/ericosiu/ X: https://x.com/ericosiu 👉 Single Grain — AI marketing firm https://www.singlegrain.com 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

Why buying AI tools and running training sessions only solve part of the adoption problem. Eric walks through the recruiting workflow and seven screening questions his team uses to find AI-native people, including real-work demonstrations and learning habits. Screening rates discussed are his company’s reported experience, not a population benchmark. SingleBrain: https://singlebrain.com SingleBrain Gateway: https://singlebrain.com/gateway CHAPTERS 00:00 Why recruiting matters 00:29 What AI-native means 02:13 The recruiting workflow 04:18 SingleBrain 05:27 Seven questions 09:02 SingleBrain Gateway 09:32 Screening rates and context 09:56 Tools and judgment 12:01 Closing takeaway 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

Eric walks through business and marketing workflows for content production, recruiting, outreach, speed to lead and design. See how the workflows gather inputs, check work and keep human review in the process. The 80-hour figure is Eric’s reported estimate; no recurring time period is specified. 00:00 How we cut 80 hours of work 00:28 Workflow outputs and AEO/SEO 07:32 Recruiting workflow 08:01 Single Grain 08:32 Recruiting checks and outreach 12:43 Speed to lead 13:59 Workflows and the content engine 16:14 Careers 16:50 Content engine, design and adoption 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

What does a forward-deployed marketer actually do? In this walkthrough, Eric shows how to build marketing workflows, give AI agents clear roles, and improve their output through team feedback. Topics include workflow ownership, Dots as a chief of staff, Meta Muse, context management, and why human judgment and editorial taste still matter. Recorded October 7, 2026. CHAPTERS 00:00 Build. Then Delegate. 00:25 The forward-deployed marketer 01:10 Build a workflow your team can improve 09:52 Give the workflow an accountable owner 13:26 Assign each agent a clear role 15:05 Using Dots as a chief of staff 16:33 Protect your number-one priority 17:02 AI usage × good judgment 18:02 Human taste still matters 19:56 Keep agents focused 20:23 Where Muse fits—and its limits 22:06 Should you switch agents? 23:57 How do you manage context? 24:50 How do you help a team adopt AI? 25:58 Choose one useful next action 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

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

👉 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

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com I walk through nine ways I use Jev for marketing and business: SEO and AEO triage, draft quality checks, Instagram follower sorting, organic posts into ads, customer-call mining, recruiting, genuine-news outreach, LinkedIn engagers, and checks before an agent sends as me. Plus the mistake to avoid: waiting until the expensive work is finished to classify what was worth doing. These are my workflows and reported early batches, not guaranteed results. Chapters: 00:00 Jevmaxxing: the quality bar 00:31 1. SEO and AEO opportunity triage 02:39 2. Draft quality gates 04:34 Single Brain Gateway 05:01 3. Find useful Instagram connections 07:30 4. Turn organic posts into ads 09:44 Single Grain 10:14 The mistake: classify before costly work 11:00 5. Mine customer calls and measure hit rate 12:00 6–7. Recruiting and genuine-news outreach 12:43 8. Route LinkedIn engagers 13:34 9. Check before sending 13:51 What will you build with Jev? 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe How to Connect IG: https://www.instagram.com/ericosiu/ X: https://x.com/ericosiu

Cody Schneider joins Eric Siu to walk through how he builds AI marketing workflows: customer research to ad scripts and voice tracks, LinkedIn engagement to outreach, and a LinkedIn article to a live Google ranking check. We also cover the infrastructure, brand checks and testing process behind the work. The 250,000 monthly LinkedIn DMs mentioned in the conversation are a Nick Abraham example Cody cites. The live demo shows leads and a sequence prepared, not messages sent. The ad videos were still rendering at the end. The ranking and client performance figures are examples from the conversation, not guaranteed results. Chapters 00:00 11,000 ads: volume and brand checks 00:19 Ad workflow: research, scripts and voice tracks 09:24 LinkedIn outreach: targeting, offers and scale 20:23 SEO workflow: write, publish and check the ranking 26:11 The infrastructure behind all three workflows 32:27 Test ad creative and improve what works 34:31 Build, measure and next steps 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

👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com I use Jev with Grokbot to screen the work our agents handle across recruiting, outbound sales, website leads, speed to lead, LinkedIn outreach, content and software renewals. In this walkthrough, I show the checks we use, the actual content review queue, and a mistake I made: letting the expensive model read everything before asking which passages deserved attention. The useful change is to screen the inputs earlier, inspect the evidence and decide what happens next. Chapters: 0:00 Jev + Grokbot = Superpowers 0:17 How the classifier works 0:59 From inputs to decisions 1:45 Recruiting and AI-fluency questions 3:33 Single Brain Gateway 3:58 Outbound: check the relationship first 5:00 Website lead qualification 5:12 Speed to lead 5:41 LinkedIn outreach 5:53 Content and AEO 7:14 Single Grain 7:38 The actual content review queue 8:27 Software renewal recommendations 9:01 Screen before expensive model work 10:01 Hold weak evidence 10:12 Ready is not permission to act 10:24 Your next step These are workflows and recommendations discussed in the recording. Illustrative lead counts and model scores are not measured accuracy, savings or business results. Jev provides judgments; the connected agents perform the next actions, with human review where needed. Image and video review still requires checking the actual media. 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