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Aug 5, 2026 · 43m · startup-ideas

Marketing Agents Masterclass (GROW your startup)

Cody Schneider · 35m spoken Greg Isenberg · 4m spoken
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

Host Greg Isenberg and growth engineer Cody Schneider break down how founders can build and deploy autonomous AI marketing agents to fully automate startup customer acquisition. The masterclass covers intent-based outbound scraping, waterfall contact enrichment, autonomous SDR inbox management, and transcript-driven organic content engines.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Greg holds 12.1% of the talking time here. How this is scored →

Greg as informed peer 3.5 Guest teaching 6.3 Guest disagreement 1.5 Greg pushing back 0.7
05100:0015:0030:001:07–4:35 · Greg as informed peer 3/10 Intent Signals and the Multi-Channel Outbound Strategy Greg introduces the episode and sets expectations for Cody to provide actionable marketing agent blueprints. Cody explains why cold outbound is suffering from AI slop and why intent-based hand raises are replacing demographic filtering.4:35–13:00 · Greg as informed peer 3/10 Scraping Engaged LinkedIn Leads Using Apify and Code Greg asks tactical questions regarding niche search selection and why manual curation is used over full automation. Cody demonstrates live scraping of LinkedIn post reactions using Apify and Claude Code.13:00–15:49 · Greg as informed peer 3/10 Marketing Agents Versus Automations and Cost Optimization Greg presses Cody on what genuinely distinguishes a marketing agent from standard marketing automation. Cody delivers an impassioned explanation, arguing that agents are structured software with lightweight LLM thinking loops rather than wasteful token burning.15:49–25:38 · Greg as informed peer 3/10 Waterfall Contact Enrichment and Email Infrastructure Setup Greg questions the legality and legitimacy of scraping and contact lookups. Cody details the mechanics of waterfall enrichment through providers like GetLeads, Apollo, and MillionVerifier alongside burner domain deliverability.25:38–31:47 · Greg as informed peer 5/10 Automating Inbox Management and Autonomous SDR Pipelines Cody outlines how to build an SDR-in-a-box using webhooks and calendar scheduling integrations. Greg synthesizes the workflow into the broader 'software factory' paradigm where coding harnesses replace manual building.31:48–39:35 · Greg as informed peer 4/10 Building an Autonomous Organic LinkedIn Content Engine Greg redirects the discussion to organic content creation systems. Cody explains how to turn human internal conversations and sales transcripts into automated, multi-account LinkedIn post schedules with iterative feedback loops.1:07–4:35 · Guest teaching 4/10 Intent Signals and the Multi-Channel Outbound Strategy Greg introduces the episode and sets expectations for Cody to provide actionable marketing agent blueprints. Cody explains why cold outbound is suffering from AI slop and why intent-based hand raises are replacing demographic filtering.4:35–13:00 · Guest teaching 6/10 Scraping Engaged LinkedIn Leads Using Apify and Code Greg asks tactical questions regarding niche search selection and why manual curation is used over full automation. Cody demonstrates live scraping of LinkedIn post reactions using Apify and Claude Code.13:00–15:49 · Guest teaching 8/10 Marketing Agents Versus Automations and Cost Optimization Greg presses Cody on what genuinely distinguishes a marketing agent from standard marketing automation. Cody delivers an impassioned explanation, arguing that agents are structured software with lightweight LLM thinking loops rather than wasteful token burning.15:49–25:38 · Guest teaching 7/10 Waterfall Contact Enrichment and Email Infrastructure Setup Greg questions the legality and legitimacy of scraping and contact lookups. Cody details the mechanics of waterfall enrichment through providers like GetLeads, Apollo, and MillionVerifier alongside burner domain deliverability.25:38–31:47 · Guest teaching 6/10 Automating Inbox Management and Autonomous SDR Pipelines Cody outlines how to build an SDR-in-a-box using webhooks and calendar scheduling integrations. Greg synthesizes the workflow into the broader 'software factory' paradigm where coding harnesses replace manual building.31:48–39:35 · Guest teaching 7/10 Building an Autonomous Organic LinkedIn Content Engine Greg redirects the discussion to organic content creation systems. Cody explains how to turn human internal conversations and sales transcripts into automated, multi-account LinkedIn post schedules with iterative feedback loops.1:07–4:35 · Guest disagreement 0/10 Intent Signals and the Multi-Channel Outbound Strategy Greg introduces the episode and sets expectations for Cody to provide actionable marketing agent blueprints. Cody explains why cold outbound is suffering from AI slop and why intent-based hand raises are replacing demographic filtering.4:35–13:00 · Guest disagreement 1/10 Scraping Engaged LinkedIn Leads Using Apify and Code Greg asks tactical questions regarding niche search selection and why manual curation is used over full automation. Cody demonstrates live scraping of LinkedIn post reactions using Apify and Claude Code.13:00–15:49 · Guest disagreement 3/10 Marketing Agents Versus Automations and Cost Optimization Greg presses Cody on what genuinely distinguishes a marketing agent from standard marketing automation. Cody delivers an impassioned explanation, arguing that agents are structured software with lightweight LLM thinking loops rather than wasteful token burning.15:49–25:38 · Guest disagreement 1/10 Waterfall Contact Enrichment and Email Infrastructure Setup Greg questions the legality and legitimacy of scraping and contact lookups. Cody details the mechanics of waterfall enrichment through providers like GetLeads, Apollo, and MillionVerifier alongside burner domain deliverability.25:38–31:47 · Guest disagreement 2/10 Automating Inbox Management and Autonomous SDR Pipelines Cody outlines how to build an SDR-in-a-box using webhooks and calendar scheduling integrations. Greg synthesizes the workflow into the broader 'software factory' paradigm where coding harnesses replace manual building.31:48–39:35 · Guest disagreement 2/10 Building an Autonomous Organic LinkedIn Content Engine Greg redirects the discussion to organic content creation systems. Cody explains how to turn human internal conversations and sales transcripts into automated, multi-account LinkedIn post schedules with iterative feedback loops.1:07–4:35 · Greg pushing back 0/10 Intent Signals and the Multi-Channel Outbound Strategy Greg introduces the episode and sets expectations for Cody to provide actionable marketing agent blueprints. Cody explains why cold outbound is suffering from AI slop and why intent-based hand raises are replacing demographic filtering.4:35–13:00 · Greg pushing back 1/10 Scraping Engaged LinkedIn Leads Using Apify and Code Greg asks tactical questions regarding niche search selection and why manual curation is used over full automation. Cody demonstrates live scraping of LinkedIn post reactions using Apify and Claude Code.13:00–15:49 · Greg pushing back 1/10 Marketing Agents Versus Automations and Cost Optimization Greg presses Cody on what genuinely distinguishes a marketing agent from standard marketing automation. Cody delivers an impassioned explanation, arguing that agents are structured software with lightweight LLM thinking loops rather than wasteful token burning.15:49–25:38 · Greg pushing back 2/10 Waterfall Contact Enrichment and Email Infrastructure Setup Greg questions the legality and legitimacy of scraping and contact lookups. Cody details the mechanics of waterfall enrichment through providers like GetLeads, Apollo, and MillionVerifier alongside burner domain deliverability.25:38–31:47 · Greg pushing back 0/10 Automating Inbox Management and Autonomous SDR Pipelines Cody outlines how to build an SDR-in-a-box using webhooks and calendar scheduling integrations. Greg synthesizes the workflow into the broader 'software factory' paradigm where coding harnesses replace manual building.31:48–39:35 · Greg pushing back 0/10 Building an Autonomous Organic LinkedIn Content Engine Greg redirects the discussion to organic content creation systems. Cody explains how to turn human internal conversations and sales transcripts into automated, multi-account LinkedIn post schedules with iterative feedback loops.

speaking balance: gold is Greg, purple is the guest (3 minute bins)

0:00 · Greg 55.7% · guest 44.3%0:00 · Greg 55.7% · guest 44.3%3:00 · Greg 3.6% · guest 96.4%3:00 · Greg 3.6% · guest 96.4%6:00 · Greg 2% · guest 98%6:00 · Greg 2% · guest 98%9:00 · Greg 1% · guest 99%9:00 · Greg 1% · guest 99%12:00 · Greg 2.5% · guest 97.5%12:00 · Greg 2.5% · guest 97.5%15:00 · Greg 5% · guest 95%15:00 · Greg 5% · guest 95%18:00 · Greg 2.9% · guest 97.1%18:00 · Greg 2.9% · guest 97.1%21:00 · Greg 0% · guest 100%21:00 · Greg 0% · guest 100%24:00 · Greg 1.5% · guest 98.5%24:00 · Greg 1.5% · guest 98.5%27:00 · Greg 22.7% · guest 77.3%27:00 · Greg 22.7% · guest 77.3%30:00 · Greg 14.4% · guest 85.6%30:00 · Greg 14.4% · guest 85.6%33:00 · Greg 0% · guest 100%33:00 · Greg 0% · guest 100%36:00 · Greg 0% · guest 100%36:00 · Greg 0% · guest 100%39:00 · Greg 50.5% · guest 49.5%39:00 · Greg 50.5% · guest 49.5%42:00 · Greg 28.5% · guest 71.5%42:00 · Greg 28.5% · guest 71.5%
Sharpest disagreement ▶ 14:50 Ranting against token tax wastefulness

Cody forcefully dismisses the conventional hype around token-heavy autonomous agents, insisting that paying LLMs to execute simple API calls is fundamentally misguided compared to running cheap local software.

 Hardest push from Greg ▶ 17:14 Pressing on outbound contact legality

Greg interjects to challenge whether scraping and purchasing individuals' emails and phone numbers for outbound outreach is entirely legitimate.

 Biggest teaching moment ▶ 13:05 Defining agents versus automated software

Cody demystifies the industry jargon of AI agents, explaining how jobs-to-be-done, cron jobs, and selective LLM evaluation combine into practical programmatic software.

 Greg holds their own ▶ 28:31 Framing the software factory shift

Greg demonstrates his strategic grasp by framing Cody's multi-tool infrastructure as the emergence of software factories where founders orchestrate code generation harnesses instead of managing developers.
the scores for every segment, with the reasoning behind each
ChapterTopicGreg as informed peerGuest teachingGuest disagreementGreg pushing backWhy
Intent Signals and the Multi-Channel Outbound Strategy 3400 Greg introduces the episode and sets expectations for Cody to provide actionable marketing agent blueprints. Cody explains why cold outbound is suffering from AI slop and why intent-based hand raises are replacing demographic filtering.
Scraping Engaged LinkedIn Leads Using Apify and Code 3611 Greg asks tactical questions regarding niche search selection and why manual curation is used over full automation. Cody demonstrates live scraping of LinkedIn post reactions using Apify and Claude Code.
Marketing Agents Versus Automations and Cost Optimization 3831 Greg presses Cody on what genuinely distinguishes a marketing agent from standard marketing automation. Cody delivers an impassioned explanation, arguing that agents are structured software with lightweight LLM thinking loops rather than wasteful token burning.
Waterfall Contact Enrichment and Email Infrastructure Setup 3712 Greg questions the legality and legitimacy of scraping and contact lookups. Cody details the mechanics of waterfall enrichment through providers like GetLeads, Apollo, and MillionVerifier alongside burner domain deliverability.
Automating Inbox Management and Autonomous SDR Pipelines 5620 Cody outlines how to build an SDR-in-a-box using webhooks and calendar scheduling integrations. Greg synthesizes the workflow into the broader 'software factory' paradigm where coding harnesses replace manual building.
Building an Autonomous Organic LinkedIn Content Engine 4720 Greg redirects the discussion to organic content creation systems. Cody explains how to turn human internal conversations and sales transcripts into automated, multi-account LinkedIn post schedules with iterative feedback loops.

Statements from this episode (13)

Opinion
Isenberg: Marketing agents are the new coding agents
“Marketing agents are the new coding agents.”
Greg Isenberg Aug 5, 2026 ▶ 1:39
Opinion
Schneider: Cold email and marketing channels are decimated by AI slop
“Right now, Cold email is getting decimated. Reply rates are down. Everything is down. Actually, every marketing channel is down right now. Let's be real. The reason is just because like AI slop is flooding the zone and it's becoming just red ocean everywhere.”
Cody Schneider Aug 5, 2026 ▶ 3:24
Insight
Schneider: LinkedIn post engagements serve as high-intent outbound signals
“The way that we have found that you can stand out is you have to look for signals or triggers that basically show that people are hand raising saying, Hey, I want this thing. I have an interest in this thing, right? And a great way to do this is with these Lin…”
Cody Schneider Aug 5, 2026 ▶ 3:41
Insight
Schneider: Monitoring niche outlier creators captures 80% of industry engagement
“In reality, it's like, there's a handful of outliers within any niche and everybody is engaging with those handful of outliers. If you just monitor those outliers, you're actually going to get, you know, 80% surface area coverage for that entire industry. You …”
Cody Schneider Aug 5, 2026 ▶ 7:54
Insight
Schneider: A marketing agent is just code, a thinking loop, and live data
“In reality though, gee, like what is a market, like what is a marketing agent? It's code. It's maybe some thinking loop and it's a live data stream, right? That that is really how like this functions.”
Cody Schneider Aug 5, 2026 ▶ 13:44
Insight
Schneider: Use LLMs to write CPU software, don't burn tokens running tasks
“You should not be paying Anthropic. You should not be paying Chad CPT to do an API call. You should be paying them to make the software that uses CPU to do the API call. Why are you paying this tax on tokens every time that you're trying to do this marketing a…”
Cody Schneider Aug 5, 2026 ▶ 15:22
Insight
Schneider: Waterfall enrichment from cheap to expensive data tools hits 80% match rates
“And the reasoning behind this is you're starting with what is the cheapest, most accurate, and then moving your way down into the more expensive validation tools. But from this, you can pull out basically from a list, like, you know, this is the way that you g…”
Cody Schneider Aug 5, 2026 ▶ 20:46
Assertion Supported
Schneider: Automated outbound email infrastructure costs roughly $200 to start
“So in total, you know, out the door to get going on this, the infrastructure costs can be in that range of about a hundred dollars to get started, or sorry, about 200 dollars to get started for the sending software and then also the inboxes.”
Cody Schneider Aug 5, 2026 ▶ 23:56
Insight
Schneider: Dedicated agent frameworks are often bloat for finite tasks
“A lot of the times you don't need it. It's just bloat. You can just have a very simple, like a very simple solution for these finite problems, right? It doesn't have to be this over complicated or over engineered thing.”
Cody Schneider Aug 5, 2026 ▶ 27:57
Opinion
Schneider: The social media manager job is already dead
“I actually think the social media manager job, like Full stop. It's, I think it's already dead, but let's, I won't get into that.”
Cody Schneider Aug 5, 2026 ▶ 37:09
Insight
Schneider: Remixing winning social posts every 90 days reliably drives virality
“If you look at my Twitter, like posts as an example, or even my LinkedIn, it is the exact same thing. Remix every 90 days, like full stop. That is all that's happening. And that, when you get enough information, like a bigger enough corpus, you have, you basic…”
Cody Schneider Aug 5, 2026 ▶ 37:56
Prediction Not checkable as stated
Isenberg: Social media managers will evolve into AI agent managers
“Agreed on the social media manager is like that role is dead or it's evolved. It's going to evolve. Like it's going to evolve into the social media agent manager.”
Greg Isenberg Aug 5, 2026 ▶ 39:36
Assertion Partly supported
Schneider: Average LinkedIn CPM is around $22 per thousand impressions
“Like if you were paying for those impressions on platform, for example, on LinkedIn, it's like 22 dollars per thousand impressions is the average, right?”
Cody Schneider Aug 5, 2026 ▶ 40:25
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