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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

8 AI-powered summaries available

28 min episode3 min read

→ 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...

21 min episode3 min read

→ 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...

17 min episode3 min read

→ 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.

26 min episode3 min read

→ 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...

48 min episode3 min read

→ 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...

37 min episode3 min read

→ 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.

14 min episode3 min read

→ 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.

24 min episode3 min read

→ 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.

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