→ WHAT IT COVERS A marketer builds an 11-skill AI content system in Claude Code, structured across five layers: audience profiling, writing style generation, research and ideation, multi-platform drafting, and a self-improving feedback loop that updates all skills monthly based on real content performance data. → KEY INSIGHTS - **Lookalike Content Scaling:** Feed Claude Code a data dump of your top-performing posts — the system analyzes the top 30% by engagement, extracts structural and...
Latest Insights
Key takeaways from recent episodes
My 11-Skill AI Content Team (Built in Claude Code)
- ✓**Lookalike Content Scaling:** Feed Claude Code a data dump of your top-performing posts — the system analyzes the top 30% by engagement, extracts structural and emotional patterns, then generates new content ideas mapped to those winning formulas. Without performance data, it analyzes the full dataset. Works with other creators' content if you lack your own archive.
- ✓**Self-Improving Feedback Loop:** Build a companion app that captures every piece of content the system produces, then manually input performance metrics monthly. Run a review skill that reads all performance data and automatically rewrites the underlying skill files — meaning the content system improves itself each month based on what actually performed well or poorly.
I Built a $20,000 AI Consultant You Can Have For Free
- ✓**AI Skill Files as Workflow Analyzers:** Upload a screen recording transcript alongside a skill file (markdown format) to Claude, ChatGPT, or Perplexity to generate a task transformation report. The skill auto-scopes output length by work type: 2–4 pages for single tasks, up to 40 pages for department-level transformations, keeping recommendations proportionate to complexity.
- ✓**Time Savings Estimation Method:** The AI transformation skill calculates current task duration from the recording itself — a 2-minute narrated walkthrough yields estimated times, while a 3-hour working session produces exact figures. For a basic slide review task, the skill estimated recovery of 1–2.5 hours per week for a CMO-level role.
This One Chart Exposes Why Most Companies Are Failing At AI
- ✓**The Red-Blue Gap:** Anthropic's chart reveals that observed AI deployment (red) is a fraction of theoretical coverage (blue) across every industry, including coding, finance, and legal. Only 8.6% of companies have deployed an AI agent in production, representing the real opportunity.
- ✓**Electricity Factory Analogy:** When factories first adopted electricity in the 1880s, less than 5% of mechanical power came from electric motors by 1900 because companies kept old layouts. AI productivity gains only arrive when companies redesign workflows entirely around AI, not swap old processes for new tools.
Perplexity Computer: The Super Agent Playbook (5 Real Workflows)
- ✓**Super Agent Convergence:** Claude Code, Manus, Perplexity Computer, and OpenAI's Operator are all converging on the same architecture: one autonomous agent that connects to external tools and executes specialized skills. Marketers should pick one platform and build deep proficiency rather than spreading across all four, since the workflows and outputs are increasingly interchangeable across platforms.
- ✓**Parallel Sub-Agent Execution:** Perplexity Computer automatically spawns parallel sub-agents to compress task time. In one demo, it split 100 book cover analyses into four batches of 25, running simultaneously—reducing what would have been a 60-minute sequential task to roughly 10 minutes. Structuring prompts around large datasets benefits most from this batched execution model.
Recent Episode Summaries
20 AI-powered summaries available
→ WHAT IT COVERS Kipp Bodnar demonstrates a free AI transformation skill file built in Claude that analyzes screen recordings of any work task and generates a structured report showing current versus AI-assisted workflows, estimated time savings, tool recommendations, and step-by-step implementation plans for individuals and teams. → KEY INSIGHTS - **AI Skill Files as Workflow Analyzers:** Upload a screen recording transcript alongside a skill file (markdown format) to Claude, ChatGPT, or...
→ WHAT IT COVERS Kieran and Kipp argue that AI model capabilities are no longer the competitive differentiator — using Anthropic's viral chart showing a massive gap between theoretical and actual AI deployment across industries to make their case. → KEY INSIGHTS - **The Red-Blue Gap:** Anthropic's chart reveals that observed AI deployment (red) is a fraction of theoretical coverage (blue) across every industry, including coding, finance, and legal. Only 8.
→ WHAT IT COVERS Kipp and Kieran demo Perplexity Computer, a $200/month super agent tool, across five marketing workflows including book cover design, competitive growth analysis, and product marketing audits, while arguing that implementation discipline—not tool access—is now the primary barrier to AI-driven marketing productivity. → KEY INSIGHTS - **Super Agent Convergence:** Claude Code, Manus, Perplexity Computer, and OpenAI's Operator are all converging on the same architecture: one...
→ WHAT IT COVERS James Dickerson, founder of Vibe Marketers, demonstrates building a complete inbound marketing campaign using Claude Code — including competitor research, positioning analysis, landing page, and interactive lead magnet — in under 50 minutes, without writing a single line of code manually. → KEY INSIGHTS - **Claude Code vs. Claude Desktop:** Claude Code runs locally on your machine, giving it access to your file system, terminal, GitHub, and external APIs like Perplexity and...
→ WHAT IT COVERS Patrick Hady, founder of SuperScale, demonstrates an autonomous AI advertising agent that analyzes competitor ads, generates up to 1,000 ad creatives in under 30 minutes, and recursively improves campaigns using performance data — all available on a $49/month plan, replacing capabilities previously exclusive to large creative agencies.
→ WHAT IT COVERS Manus Mail enables marketers to build specialized AI agents with dedicated email addresses — covering competitive analysis, content repurposing, and deal flow research — that receive forwarded emails, complete tasks autonomously, and reply with finished deliverables. → KEY INSIGHTS - **Email-native AI delegation:** Manus Mail assigns each AI agent its own email address.
→ WHAT IT COVERS Meta-acquired Manus AI (purchased for $2 billion in December 2025) offers a personal autonomous agent accessible via Telegram, email, and desktop without technical setup. The episode demonstrates practical use cases including content research, ad optimization, and email forwarding workflows, while arguing that portable "skill files" represent the most valuable AI capability to develop in 2025. → KEY INSIGHTS - **Manus vs.
→ WHAT IT COVERS OpenClaw transformed from a weekend project in November 2025 to GitHub's fastest-growing open source project with 186,000 stars. This AI agent framework enables autonomous task execution through messaging platforms, spawning MoltBook, a social network with 770,000 AI agents. The movement reveals security challenges and previews an emerging agentic web architecture.
→ WHAT IT COVERS Mike Futia demonstrates how to automate TikTok ad research using AI workflows that scrape trending videos, analyze content with Gemini, and generate creative briefs in minutes. The system uses Apify for scraping, processes video transcripts and comments, and outputs campaign strategies based on viral content patterns for ecommerce brands and agencies.
→ WHAT IT COVERS Anthropic's Claude releases three major updates that transform AI from single-task assistant to autonomous team manager. The shift enables knowledge workers to delegate entire workflows to orchestrated agent teams, marking the transition from "vibe coding" to "vibe working" across all professional disciplines. → KEY INSIGHTS - **Agentic Teams:** Claude now orchestrates multiple specialized agents simultaneously to complete complex projects autonomously.
→ WHAT IT COVERS Kristen Fracchia from Gamma demonstrates AI-powered slide workflows that automate deck creation from sales calls, research data, and Slack channels. The episode showcases specific automations using Zapier, Claude connectors, and note-taking tools to transform raw inputs into polished presentations, eliminating manual slide building while improving visual storytelling for sales, marketing, and internal communications.
→ WHAT IT COVERS Igor Lore, CEO of Weebly (acquired by Figma), demonstrates how to build systematic AI creative workflows instead of endless prompting. The episode covers node-based workflow construction, multi-model testing, brand consistency systems, and YouTube thumbnail A/B testing automation. Lore argues creative teams must shift from pixel editing to system building to scale AI capabilities across organizations.
→ WHAT IT COVERS ChatGPT launches advertising in 2025 with 900 million weekly active users, creating arbitrage opportunities for early marketers. The episode explores three specific strategies to capitalize on this platform shift: buying underpriced ads with high conversion rates, building vibe-coded apps for specific prompts, and creating citation-based ranking sites that influence AI recommendations.
→ WHAT IT COVERS Manus AI agent integrated with SimilarWeb market data enables marketers to generate competitive intelligence reports, estimate competitor advertising budgets, create presentations, and build website prototypes. The partnership provides access to traffic metrics, bounce rates, and channel performance data for under twenty dollars per analysis, replacing traditional consulting work.
→ WHAT IT COVERS Hosts Kip and Mark examine Astral, a new AI marketing agent that automates commenting at scale on LinkedIn and Reddit. They argue this represents a dangerous path for marketing that prioritizes automation over authentic community engagement, warning it could lead to a "dead internet" where AI agents create and respond to content without human involvement.
→ WHAT IT COVERS PJ Ace reveals his complete AI video production workflow that generated 233 million views for a David Beckham ad in three days. He demonstrates the five-role team structure, specific tools like Ideogram and Kling 2.6, and the two-by-two grid technique for maintaining visual consistency across scenes in AI-generated commercials. → KEY INSIGHTS - **Two-by-Two Grid Workflow:** Generate images in four-shot sequences using a two-by-two grid format to maintain consistent lighting,...
→ WHAT IT COVERS Claude CoWork transforms business productivity by enabling nontechnical users to automate complex work tasks through AI agents that access local computer files and data. → KEY INSIGHTS - **Local File Access:** CoWork reads and writes files directly on your computer, processing hundreds of documents simultaneously to generate deliverables like presentations, emails, and strategy documents in minutes instead of days.
→ WHAT IT COVERS Equinox's anti-AI-slop ad campaign signals a consumer backlash against low-quality AI-generated content. Marketers must prioritize authentic, human-crafted work and deep domain expertise over automated content creation to succeed in 2026. → KEY INSIGHTS - **AI Amplifies Ignorance:** AI tools exponentially multiply existing ignorance rather than fix it.
→ WHAT IT COVERS Kieran Flanagan demonstrates his four-step framework for creating professional AI video ads using Veo 3.1 and Nana Banana Pro, reducing production time from thirty hours to just a few hours through strategic reference image creation. → KEY INSIGHTS - **Reference Images Over Text Prompts:** Create detailed reference images in Nana Banana Pro for each character, setting, and prop before generating video clips.
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Resources mentioned on Marketing Against the Grain
Books, tools, and gear cited by guests across episodes we've summarized.
- tool
Claude
by Anthropic
Cited in 5 episodes of Marketing Against the Grain
- company
HubSpot
Cited in 5 episodes of Marketing Against the Grain
- tool
Claude Code
by Anthropic
Cited in 4 episodes of Marketing Against the Grain
- tool
HubSpot
Cited in 3 episodes of Marketing Against the Grain
- company
Anthropic
Cited in 2 episodes of Marketing Against the Grain
- tool
ChatGPT
by OpenAI
Cited in 2 episodes of Marketing Against the Grain
- company
OpenAI
Cited in 2 episodes of Marketing Against the Grain
- tool
Gemini
by Google
Cited in 2 episodes of Marketing Against the Grain
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