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Marketing Against the Grain

I Built a $20,000 AI Consultant You Can Have For Free

21 min episode · 2 min read

Episode

21 min

Read time

2 min

Topics

Productivity, Health & Wellness, Fundraising & VC

AI-Generated Summary

Key Takeaways

  • 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.
  • Meta Skill for Building Skills: A second "skill architect" file, built by crawling GitHub and other skill directories for best practices, generates new skill files following proven architecture patterns. It handles single-file versus multi-file decisions, skill families, and cross-platform compatibility, all within the 500-line maximum constraint that governs AI skill files.
  • AI Adoption Accelerates Where New Capabilities Unlock: Behavioral change toward AI tools happens faster when people use AI to do things they previously could not do at all — coding, data analysis, complex research — rather than replacing existing habits. Starting with small, novel use cases builds momentum before tackling workflow replacement.
  • High Agency plus Low Tolerance as the Adoption Framework: The people making the fastest AI transitions share two traits: high agency (proactively building and experimenting) and low tolerance for inefficiency (unwilling to accept slow processes when AI can fix them in minutes). Identifying these people on a team predicts who will lead successful AI transformation.

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 Questions Answered

  • 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.
  • Meta Skill for Building Skills: A second "skill architect" file, built by crawling GitHub and other skill directories for best practices, generates new skill files following proven architecture patterns. It handles single-file versus multi-file decisions, skill families, and cross-platform compatibility, all within the 500-line maximum constraint that governs AI skill files.
  • AI Adoption Accelerates Where New Capabilities Unlock: Behavioral change toward AI tools happens faster when people use AI to do things they previously could not do at all — coding, data analysis, complex research — rather than replacing existing habits. Starting with small, novel use cases builds momentum before tackling workflow replacement.
  • High Agency plus Low Tolerance as the Adoption Framework: The people making the fastest AI transitions share two traits: high agency (proactively building and experimenting) and low tolerance for inefficiency (unwilling to accept slow processes when AI can fix them in minutes). Identifying these people on a team predicts who will lead successful AI transformation.

Notable Moment

Kieran pushes back on the detailed report format, arguing a 4–6 page output for a single workflow feels overwhelming. Kipp reframes it: the report is not meant to be read linearly but fed directly back into an AI tool to auto-generate the specific prompts and agent builds needed.

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Episode Transcript

In AI today, skills and building skill files are one of the most important things you can do to up level the results you're getting from AI. And today, we're giving you a $20,000 AI transformation consultant in the form of a skill. Skill. We're gonna walk you through how to use it, how to get the most out of it, and bonus, at the end of the show, we're actually gonna give you a master skill template that's gonna make it really easy for you to build any new skills you want for yourself or for your team. If you want the files we talked about, you can click the link below. We'll get them right to you. Let's get to today's show. Here's a quick word from HubSpot. HubSpot helped Tumblr solve a big problem. They needed to move fast to produce trending content, but their marketing team was stuck waiting on engineers to code every single email campaign. Now they use HubSpot's customer platform to email real time trending content to millions of users in just seconds. The impact? Three times more engagement, double the content creation. Wanna move faster like Tumblr? Visit hubspot.com. Okay. So, Kieran, recently on the show, we talked about some new data from Anthropic that there's this big gap in what's possible with AI technology and what people are actually doing. We kinda teased that we wanted to help people solve that. And I'm here to say that I have spent probably ten hours, and I don't even know how many credits of compute to try to come up with the best solution to that problem. And I wanna go through that with you in real time today, get your feedback, and then it'll be available in the link below for everybody to go and try this out themselves. But we've been talking a lot about on the show skills and how skills are real unlock of how you use modern AI assistants and agents. And I've spent a lot of time building what I call an AI transformation skill that helps anybody take the work they're doing and transform it to an AI first way of doing it. And you kinda talked about this. I think you have a dream scenario of, like, how this should work. So tell me what you think the dream scenario is, and let's let's see if I can deliver on it. Yeah. I think the way this is gonna work for most teams is that you can record yourself just doing work and narrating your work and you can give that to an agent and that agent will build skills that help you replicate the kind of workflows you're doing on a day to day basis. Then it's the easiest way for the average person. Okay. I agree with that. So here's what I did. Just for the sake of the show, Kieran, I posted in here a transcript. It's two minutes long. I did …

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Books, tools, and gear mentioned in this episode

SignalCast may earn commission on purchases via these links.

Tools

  • ChatGPTRecommended

    by OpenAI

    Upload a screen recording transcript alongside a skill file (markdown format) to Claude, ChatGPT, or Perplexity to generate a task transformation report.
  • by Microsoft

    A second 'skill architect' file, built by crawling GitHub and other skill directories for best practices, generates new skill files following proven architecture patterns.
  • ClaudeRecommended

    by Anthropic

    Upload a screen recording transcript alongside a skill file (markdown format) to Claude, ChatGPT, or Perplexity to generate a task transformation report.
  • PerplexityRecommended
    Upload a screen recording transcript alongside a skill file (markdown format) to Claude, ChatGPT, or Perplexity to generate a task transformation report.

company

  • HubSpot is listed as a sponsor of the episode.

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