Episode 19: The Board You Can Actually Afford

In this hands-on episode, Ewan MacLeod turns interviewer again to find out exactly what Holly Joint has been building with AI, and the answer has moved well beyond the games and chief-of-staff tool from earlier in the season. What emerges is a practical picture of how a non-engineer is now creating real, deployable software simply by describing what she wants in plain language.Holly's flagship build is what she calls a "leadership bench." Rather than the familiar gimmick of stacking an imaginary board with Steve Jobs and Bill Gates, hers lets you select genuine executive roles, a CFO, a CMO, a CTO, feed in a problem statement, and have each perspective argue, counter and vote across rounds. The aim is to surface what real leadership teams so often leave unsaid. Drawing on her coaching work, Holly explains that not all voices carry the same volume in a room, and politics and groupthink keep people from speaking honestly. The tool strips the emotion out of charged decisions, from new-market entry to return-to-office, and is already being piloted with clients and used inside her own business.The conversation is refreshingly practical about how this is done. Holly built it by describing the problem and the experience she wanted in natural language; Ewan's useful framing is that the "science bit" isn't the coding anymore but the thinking, the careful briefings, the honing, the packaging of judgement into something reusable. They also dig into why it matters that the tool runs on a server rather than a laptop, and the serious-business considerations many casual users miss: data residency laws that require client data to stay in-region, and enterprise or API keys that keep confidential inputs out of model training. Holly's UAE-based server lets her run lean, confidential pulse surveys for clients during a tense period, a genuinely commercial use case.The episode's second big idea is context. Holly has built a simple tool that interviews you about your career, ambitions and preferences, then generates a portable context document, ideal for newcomers, for people switching tools for ethical reasons, or for anyone who has used AI organically without ever intentionally teaching it who they are. Stored locally and kept private, it has even doubled as a reflective, goal-setting exercise. The payoff, she argues, is an AI that finally challenges you in the right register rather than being relentlessly polite, and that becomes dramatically more powerful when paired with agentic tools like OpenClaw, knowing your life and work from the outset like an old friend rather than a stranger at a party. Her closing advice is blunt: the free tools won't give you this, so invest in yourself and upgrade.Key TopicsA "leadership bench" tool that simulates executive perspectivesUsing AI to break groupthink and surface unspoken viewsBuilding deployable software through natural language aloneWhy server hosting, not a laptop, makes tools shareable and secureData residency and enterprise keys for confidential client workA context tool that teaches AI who you arePortable context documents when switching between AI toolsHow rich context supercharges agentic tools like OpenClaw