『AI-Ready Or Not?』のカバーアート

AI-Ready Or Not?

AI-Ready Or Not?

著者: Travis Scott
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概要

Most companies are buying AI tools. Almost none of them have the data, processes, or systems in place for those tools to deliver. The CRM is a mess. The processes aren't written down. The tribal knowledge is locked in three people's heads. Then the AI gets layered on top, and nobody understands why it doesn't work. AI-Ready or Not is the show about fixing the foundation first. Host Travis Scott talks with founders, operators, authors, and practitioners about how they're actually using AI. What's working. What's not. What they had to do to make it work. New episodes every two weeks.©️RainierDigital LLC 2026 経済学
エピソード
  • Jenny Blake, Author of Free Time — The Things Most Founders Skip Before Using AI
    2026/05/05
    The Foundation Before the Agents: Jenny Blake on What Has to Be True Before AI Actually Works.After two years of watching the AI hype cycle from the sidelines, author and keynote speaker Jenny Blake (Free Time, Pivot) finally dove in — and now she's hitting inbox zero for the first time in fifteen years of self-employment. But the leap wasn't about the tools. It was about what she had already built underneath them. In this opening episode, Travis and Jenny unpack the infrastructure - context files, documentation, clean processes - that separates people who get leverage from AI from people who get noise."The AI is only as good as what it knows about you."About This EpisodeJenny Blake has spent the last few years publicly underwhelmed by generative AI. It impressed her (everyone can write a poem in ten seconds) but it didn’t transform her business. Then, at the start of 2026, something shifted. Claude Cowork launched for non-developers. Notion released Custom Agents. Her brain, in her words, "caught fire."This episode is not about which tool to buy. It’s about what has to be done in your business before any of these tools can give you leverage. Jenny walks through the practical prerequisites - context files, markdown documentation, the "interview me until you're 95% clear" prompting pattern - and Travis connects those principles back to what founders and revenue leaders are dealing with at larger scale: messy CRM data, tribal knowledge in people's heads, and processes that were never written down.If you’ve been sitting on the sidelines wondering whether AI is finally worth your time, or you've tried it and found it more annoying than useful, this conversation is the context you've been missing.About Jenny BlakeJenny Blake is the author of three award-winning books: Free Time: Lose the Busywork, Love Your Business; Pivot: The Only Move That Matters Is Your Next One; and Life After College. She runs a media and growth strategy company, licensing her IP to clients such as Google, CHANEL, and the Stanford Graduate School of Business.Before launching her own business in 2011, Jenny co-created Google's global drop-in coaching program, Career Guru, which is still in operation today. She hosts two podcasts with over two million downloads combined: the Webby-nominated Free Time podcast for heart-based business owners, and Pivot with Jenny Blake for navigating change. She lives in New York City with her husband and their German shepherd, Ryder.Key TakeawaysContext files are the foundation, not the AI. Jenny's agents only became useful once she'd fed them markdown files describing her business, her clients, her voice, and her goals. The AI is only as good as what it knows about you. Before every prompt, she tells the model to read her context files first.Reverse prompting: make the AI interview you. Instead of trying to front-load every piece of context in a prompt, tell the model: "AskUserQuestion until you're 95% clear on what I'm trying to do." The questions it asks will surface blind spots you would have missed.The agentic shift was specific and recent. Jenny was a skeptic for years. The turning point was agents (Claude Cowork, Notion Custom Agents, Perplexity Computer) launching for non-developers in early 2026. The difference from older automation: you direct them in natural language, and they improve themselves with every run.AI levels the playing field for neurodiverse operators. Travis, diagnosed with ADHD in 2023, describes the shift from seeing AI as a way to replace assistants to seeing it as a way to work around personal weaknesses, so he can spend more time in his strengths. The frame is not "replace a person," it's "build a better version of yourself."A good idea is no longer enough. Anyone can vibe-code a copy of your product in an hour. The moat is now distribution, marketing, and taste, the things AI can't replicate on command. A "one-person billion-dollar startup" usually means the founder already had marketing leverage, not just a working prototype.If it's not documented, it can't be delegated. This applies to humans AND agents. Travis realized the SOP he was writing to hire someone was also the exact prompt an agent needed. Documentation isn't overhead, it's the interface between you and everything you could offload. Most companies have skipped this step, and it's about to bite them.You have many doorways in and you only need one. Jenny's closing advice: you don't have to be a software engineer anymore. If you're a good people manager, problem-solver, builder, opinionated about taste, or simply curious - that's your doorway in. Pick one and stop waiting.Chapter Markers00:00 — Cold open & welcome00:30 — "Impressed but underwhelmed": what changed in early 202605:30 — Reverse prompting: make the AI interview you07:30 — Context files and why Claude Desktop is the unlock10:30 — The Claude Council prompt and open-source prompt sharing12:30 — Travis's ...
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