Leveling Up with Eric Siu

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

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

I put Claude Opus 5.5 and GPT-6 Astra through seven work tasks with the same prompts at medium settings. We compare YouTube packaging, ad teardowns, lead journeys, stalled deals, case studies and proposals, video editing, and AEO.

Watch the actual outputs, follow the running score, and see where each model was useful. These are my results from these tasks. I still use and pay for both models.

CHAPTERS
00:00 Opus 5.5 vs. GPT-6 Astra: the test
00:58 API token pricing
01:11 Round 1: YouTube packaging
03:10 Round 2: Ad teardown
06:17 Round 3: Lead journey
07:19 Single Grain
07:38 Lead journey: Opus results
09:24 Round 4: Stalled deals
12:50 Round 5: Case study and proposal
15:35 Single Brain Gateway
16:19 Round 6: Video editing
18:38 Round 7: AEO engine
20:57 Final score and which model to use

The benchmark chart is from Artificial Analysis. Wispr Flow ads appear as examples in the ad teardown. Proposed ads shown are concepts, not campaign results.

👉 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

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
👉 Single Brain Gateway - Connect your agents to your tools: https://singlebrain.com/gateway

Keep the agents you already use. In this walkthrough, I show where I would add Jev to help classify work, check criteria and route uncertain cases for review.

We cover content selection, recruiting, inbox triage, CRM review, customer language, sponsorships, outbound and SEO/AEO. I show the questions I want the workflow to answer and why the next agent still needs clear instructions.

Several dashboard examples use fictional data. The TypeSafe benchmark is a vendor demonstration, not our own controlled test. These examples do not establish a 100x improvement or zero hallucinations.

Chapters:
0:00 Upgrade your existing agents
0:23 Topic screening example
0:34 What Jev does
1:19 TypeSafe benchmark demonstration
1:53 Start with your workflows
2:05 Content and clip selection
2:30 Define a good result
2:42 Recruiting evidence and review
3:39 Single Brain
4:05 Choose the right workflow
4:42 Illustrative dashboard: inbox triage
4:52 CRM and revenue
5:10 Customer voice
5:50 Sponsorships
6:15 Outbound review
6:49 Search and AI visibility
7:23 Single Brain Gateway
7:52 Choosing useful clips
8:27 Stop duplicate content
9:23 Define your criteria
9:37 Keep human judgment
10:20 Where to start

Demo credit: TypeSafe / Jev for the Wikipedia classification demonstration. Dashboard data is fictional and shown for illustration.

👉 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
👉 Join our team: https://www.singlegrain.com/careers/

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