🚨 4 AI myths that still hold you back at work

These old limitations are no longer real...

July 07, 2025

Hey there.

Many professionals dive into AI with high expectations, but get frustrated when they hit a ceiling.

They spend so much time fixing AI mistakes, fact-checking outdated information, generating below-par visuals, and building apps no-one can use that they think the problem is with the technology, instead of how they’re using it.

Of course, new capabilities are changing what’s possible every week and, inside The Rundown AI University we’re focused on tackling each of those limitations.

A lot of the shortcomings that early adopters believe are holding them back simply aren’t true anymore.

Here are the four myths we’re debunking this week:

Myth #1: Coding assistants work from outdated information

If you’ve tried coding with AI, you might have experienced your AI coding assistant confidently suggesting an API or framework method that no longer exists. Every time that happens, even if you know what you’re doing, you have to spend so much time debugging the AI's incorrect suggestions that it starts to feel like you’re not saving time at all.

Most people assume this is just how AI works. But that’s no longer the case.

A new innovation connects your coding assistant directly to current documentation, eliminating outdated suggestions entirely. Instead of working from stale training data, your AI pulls the latest API references and current examples in real-time.

Context7 helps you:

  • Eliminate debugging sessions caused by non-existent APIs and deprecated methods

  • Get accurate code suggestions for the exact library versions you're using

  • Access current documentation from over 23,000 libraries without leaving your editor

  • Build confidence in AI-generated code for production environments

Our members have already explored how to eliminate errors in their coding assistants using Context7's real-time documentation access.

Here’s your invitation to immediately access 'How to get up-to-date API information for AI coding tools' for free, before deciding whether to sign up to The Rundown AI University.

Myth #2: Using AI to prep for meetings requires loads of different tools

When you have an important meeting in your diary, to prepare effectively with AI, you'd need to manually gather context from your email, check your calendar for past interactions, research recent company news, and somehow get all that information into your AI tool.

If you’re pushed for time, or don’t already have an automation set up, it's tempting to just wing it.

But now you can connect AI directly to your existing work environment, and access your email history, calendar data, and real-time company information automatically — in one interface.

Google Gemini helps you:

  • Generate comprehensive meeting briefings from your email and calendar data automatically

  • Access conversation history and relationship context without switching tools

  • Get strategic talking points based on recent interactions and current developments

  • Prepare for complex stakeholder meetings in minutes instead of hours

Our members have already followed a guide that details how to prepare for any meeting using Google's integrated workspace tools rather than juggling multiple AI applications.

Watch ’How to prepare for any meeting using Google Gemini Apps’ for free, to see exactly what you’ve been missing inside The Rundown AI University.

Myth #3: Creating professional 3D content requires expensive agencies

It’s never been easier to generate high quality images with AI. But If you need a 3D model for a presentation or product showcase, the conventional wisdom says you can hire an expensive agency, spend months learning complex 3D software, or forget about it entirely.

Of course, that was in the past. Now, none of those three options would be the right advice.

A new tool dispels this myth by generating professional-quality 3D models from simple text descriptions or images. What used to require specialized skills and significant budgets is now achievable in a few minutes if you know how.

Hunyuan 3D helps you:

  • Generate detailed 3D models from text descriptions or reference images

  • Create models with high-resolution textures in 10-25 seconds

  • Export to standard formats compatible with web deployment and professional software

  • Skip the agency fees and months-long learning curve typically required

Our members now have access to a complete workflow for building interactive 3D websites using AI-generated models and automated coding tools.

Follow 'How to build interactive 3D websites with AI' for free, to get a taste of what you can learn inside The Rundown AI University.

Myth #4: It's hard to build an app that supports paying users

Building an application that can actually charge customers feels like it requires extensive backend development, payment processing expertise, and complex security implementations. It’s the difference between vibecoding and scaling with real users.

This myth keeps good ideas from becoming real businesses.

This Wednesday at 3 PM EST, we’re joined by Tomek Sułkowski (Founding Engineer at Bolt) to see how integrated tools eliminate these technical barriers entirely.

Our members will be learning how to:

  • Build and deploy advanced apps using Bolt ,without any extra complexity

  • Seamlessly integrate Supabase for authentication and Stripe for payments

  • Scale your apps while minimizing manual overhead

By the end of the workshop, you’ll be able to confidently launch scalable, secure apps with Bolt’s most powerful integrations and handle the technical complexity that stops most people from shipping their ideas.

Stay curious,

The Rundown Team

P.S. AI is shaping the future of work, but too many professionals are living in the past. By debunking these myths, and not accepting limitations that don't actually exist, early adopters are building capabilities their competitors think are impossible. Join them with a 14-day trial here.