{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69ab3b7c7036d739021982df/69f2f540c5dd1a171729034c?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"What to Do When Your Company's AI Tool Is Bad at Your Job","description":"<p>What's really happening inside corporate AI procurement when everyone on your team knows the default tool can't do the job but saying so makes you sound like the problem instead of the person trying to get work done?</p><p><br></p><p>The common framing is that you're asking for an exception — but the reality is that your company is expecting frontier tool results from default tool performance, and almost nobody is talking fluently about that gap.</p><p><br></p><p>In this video, I share the inside scoop on how to actually win this conversation:</p><p><br></p><p> • Why your argument is landing as preference instead of evidence and how to fix it</p><p> • How to run a simple test with one recurring job, two tools, and a week of data</p><p> • What changes when the ask moves from your manager to a director to an exec</p><p> • How to answer the four objections you're almost certainly going to get</p><p><br></p><p>Leaders treating AI tools as interchangeable are paying a hidden tax in 30-minute chunks and five-minute corrections — and their best people are already quietly leaving for companies with better tooling.</p><p><br></p><p>Subscribe for daily AI strategy and news.</p><p>For deeper playbooks and analysis: https://natesnewsletter.substack.com/</p>","author_name":"Nate B. Jones"}