Couverture de AI-Ready Or Not?

AI-Ready Or Not?

AI-Ready Or Not?

De : Travis Scott
Écouter gratuitement

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 Economie
Épisodes
  • Her Business Was Going Under, Then She Saved It With AI

    Her Business Was Going Under, Then She Saved It With AI
    Jul 6 2026
    She Almost Lost the Business. Then She Rebuilt It With AI. Andrea Palacio and her husband bought a "boring" landscaping company expecting an easy win — and nearly lost everything within a month. This is the story of how she clawed it back with AI and automated it into a business that runs without her. "Those companies are losing between 30 and 40% of their revenue just because they're not answering the phone on time." — Andrea Palacio About This Episode After a decade as an entrepreneur — including seven years running an e-commerce business from a sailboat in the Caribbean — Andrea Palacio and her husband decided to buy a "boring business" and put an operator in place. The reality hit fast: within a month of acquiring a landscaping company, the manager quit and told the crew to find other jobs, staff dropped from 12 to 2, and revenue was cut nearly in half. With their home attached as SBA-loan collateral and a second baby on the way, they were working 80-hour weeks and ready to sell. Instead, Andrea went down the "YouTube University" rabbit hole and started solving her own problems with AI. In this conversation you'll hear how she put AI on every inbound phone call (answering and booking every lead automatically), how that stopped a 30–40% revenue leak, and how AI-optimized Google Ads increased their leads 20% while cutting ad spend. You'll also hear exactly how she runs ads with AI today — connecting Claude Code directly to Google Ads with an AI agent, while her non-technical husband uses Claude's Chrome extension to audit the account, catch broken links, and find ads running without landing pages. The business became automated enough that a buyer offered full asking price — so they kept it, hired an operations manager, and stepped away. That turnaround became RunCrewless.com, where Andrea now helps service-business owners build self-operating companies. A note on this episode: Andrea and I ran into internet connection problems during recording, and much of the second half of our conversation couldn't be saved. The good news: the best moments from that half were captured — find them as Shorts on the Rainier RevOps YouTube channel, including her take on the founder "productivity trap," using AI to clean up messy CRMs, and why she tells business owners to go all-in on one AI tool. About Andrea Palacio Andrea spent 10 years building and exiting businesses — an e-commerce company she ran while living on a sailboat, then a landscaping company (Mokai) she and her husband acquired and nearly lost before automating it with AI. That turnaround led her to found RunCrewless.com, where she now helps service business owners run self-operating companies using Claude Code and automation. She's also a business coach in Dan Martell's Elite program. Key Takeaways Not answering the phone quietly kills revenue — Andrea estimates service businesses lose 30–40% of revenue by missing calls. AI that answers every call and books every lead removes the leak.AI turned their Google Ads around — leads up 20%, ad spend down significantly, and the account gets audited automatically for broken links and ads with no landing page.You don't have to be technical — Andrea connects Claude Code straight to Google Ads; her husband gets the same results with Claude's Chrome extension in the browser.Automation raised the value of the business — the company became self-operating enough that a buyer offered full asking price; they kept it and stepped away instead.Solve your own problem first — Andrea started with zero AI experience; she just aimed it at the thing burning her day (the phone) and built from there. Chapter Markers (00:00) Cold Open(00:26) Meet Andrea: 10 Years From a Sailboat(01:31) Buying the "Boring Business"(03:20) The Crash: 12 Employees Down to 2(04:53) Discovering AI With Zero Experience(09:33) AI on the Phones + Google Ads(11:51) Claude Code vs. the Chrome Extension(13:52) Technical Difficulties + More From Andrea on YouTube Resources & Links Mentioned RunCrewless — Andrea's company, helping service businesses run self-operating: https://runcrewless.comDan Martell — Elite coaching program: https://www.danmartell.comClaude / Claude Code — https://claude.aiClaude in Chrome (extension) — https://claude.ai/chromeChatGPT / OpenAI — https://chatgpt.comMake.com (automation platform) — https://www.make.comUpwork — https://www.upwork.comGoogle Ads — https://ads.google.comMore from this conversation — Shorts on the Rainier RevOps YouTube channel: https://www.youtube.com/@RainierRevOps Connect with Andrea Palacio Website: https://runcrewless.comLinkedIn: https://www.linkedin.com/in/andreapalacioInstagram: @andreapalacio Connect with Travis Rainier RevOps: https://rainierdigital.comLinkedIn: https://www.linkedin.com/in/travisscott24Instagram: https://www.instagram.com/travis.revopsYouTube: https://www.youtube.com/@RainierRevOps If This Episode Resonated If your company is buying AI tools ...
    Afficher plus Afficher moins
    15 min
  • Divine Intervention: How One Founder Cracked a Two-Company Monopoly with AI

    Divine Intervention: How One Founder Cracked a Two-Company Monopoly with AI
    Jun 18 2026
    Divine Intervention: How One Founder Cracked a Two-Company Monopoly with AIFor as long as anyone can remember, an online pharmacy could only get accredited by one of two companies — and the backlog showed it. Aaron VanStone is building the third, ScriptSafe, and he coded the entire platform himself, with no software background, using Claude Code."The classic thing they teach you in every coding class is that the more preparation you do beforehand, the better the end output's gonna be. It's no different with these models."About This EpisodeAaron VanStone has spent more than 20 years in payments. In 2008 he founded Processing Brokerage, a pay-for-performance firm that audits merchants' credit-card processing fees across the U.S., Canada, and the U.K. A project with a compounding-pharmacy trade group pulled him into the pharmacy world — where he ran headfirst into a bottleneck: to accept online payments or run Google ads, a pharmacy needs third-party accreditation, and "since the beginning of time" there have been only two accreditors. The backlog was enormous.His answer is ScriptSafe, an AI-powered accreditation platform that reviews a pharmacy's licenses and then monitors its website every night to confirm it isn't selling anything illegal. What makes the story remarkable is that Aaron built the technology himself — starting at the end of January with zero coding experience, using Claude Code (with Codex as a second set of eyes). As he puts it, the timing felt like "divine intervention": the tools arrived exactly when he needed them, and what he built "wasn't possible a year ago."This is a tactical conversation. Aaron and Travis get into the workflow that actually works: writing a detailed planning document before building, running two models against each other so they have to agree, building a brand system for consistent design, and the cheap starter stack — Vercel, GitHub, and Supabase — that lets anyone ship. They also dig into the lesson that cost Aaron a month: there was no observability layer, so the AI was guessing at bugs. Once he added one, nightly pharmacy scans dropped from four hours to under 90 seconds.It's also a candid take on the risks — vendor lock-in, the coming wave of "AI-slop software," and why vibe-coding your own CRM might be shortsighted if you ever need to hire or train for it. And underneath it all runs an encouraging message: there has never been a better moment to learn this, especially if you've just been laid off and finally have the runway to dig in.About Aaron VanStoneAaron VanStone leads three companies at the intersection of payments, fintech, and healthcare compliance, drawing on more than 20 years in the payments ecosystem. He founded Processing Brokerage in 2008, a pay-for-performance consulting firm that audits credit card processing fees for merchants across the U.S., Canada, and the U.K. Most recently, he launched ScriptSafe, an AI-powered pharmacy accreditation platform designed to eliminate regulatory bottlenecks for online pharmacies. He's built ScriptSafe's technology stack using AI coding tools, a workflow he discusses in depth on topics ranging from Claude Code to brand systems in web development.Key TakeawaysPrep beats prompts — Aaron spends 90 minutes to two hours building a working planning document (with the model interviewing him) before writing any code. The richer the plan, the better the build.Run a second model as a reviewer — He has Codex continuously review Claude/Fable's output; when the two models agree, the code is far more trustworthy.Build a brand system first — Define your colors, logo, fonts, and overall look up front, then tell the builder to follow those rules so everything stays consistent.You can't fix what you can't see — Adding an observability layer turned guess-and-check debugging into real analysis and took nightly pharmacy scans from 4 hours to under 90 seconds.The starter stack is cheap and learnable — Vercel (hosting) + GitHub (code) + Supabase (database), roughly under $30/month, is enough to "do anything."Chapter Markers0:00 — Cold open0:29 — Meet Aaron & ScriptSafe1:56 — From payments consulting to a new problem3:42 — Divine intervention: finding AI at the right moment6:07 — Fable 5 vs. Opus — you feel the upgrade11:29 — The "building a house" analogy for model progress12:59 — Prep beats prompts: plan before you build15:18 — Running Claude and Codex against each other18:35 — Vendor lock-in and the coming software shakeout20:56 — The "vibe-code your CRM" debate26:47 — The observability fix: 4 hours to 90 seconds29:23 — Starting from zero coding experience31:23 — "If you don't know where to start, ask it" + the hotel scanner34:03 — Why now is the time to learn — even if you've been laid off39:16 — The starter stack: Vercel, GitHub, Supabase40:52 — Design: Manus, Claude Design & brand systems42:04 — Two big tips to finishResources & Links MentionedTools & platforms:...
    Afficher plus Afficher moins
    46 min
  • Jenny Blake, Author of Free Time — The Things Most Founders Skip Before Using AI

    Jenny Blake, Author of Free Time — The Things Most Founders Skip Before Using AI
    May 5 2026
    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 ...
    Afficher plus Afficher moins
    49 min
adbl_web_anon_alc_button_suppression_t1
Aucun commentaire pour le moment