You chase trends. You collect prompt templates. You follow benchmarks. Your industry colleagues do the same. You even chat about it sometimes. You feel like you're in the loop. You're using AI to its full potential, right? Or are you?
Seven convenient truths that are holding you back
We meet with marketers, designers, and managers. Many of them approach AI like this: "Chat, prompt, copy-paste." Last year, that still made sense. This year, definitely not.
It's not your fault. A year in AI is an eternity. Models, tools, and market expectations have all shifted.
At House of Řezáč, over the past 2 years, we've encountered seven convenient truths you might believe. Marek will tear them apart on May 25th. You'll find out why they're wrong. He'll show you practically how we do it. As a bonus, he'll then reveal how AI adoption truly works within a team. How we approach AI adoption at House of Řezáč.
Do you recognize your "truths"?
1️⃣ "Having the best model is all you need."
You jump between Claude, Gemini, GPT. When THE best one comes along, you'll go all in.
2️⃣ "Just give AI our documents."
You have a pile of PDF documents and even more things in your head. AI is smart; it'll handle it.
3️⃣ "The key to AI is the perfect prompt."
You collect prompt templates. You fine-tune that one sentence so AI finally does what you want.
4️⃣ "AI remembers what we discussed last time.”
You come back after a week, pick up where you left off. AI knows you, after all. And it remembers everything.
5️⃣ "One chat, one task — that's all AI is."
You open a chat. You type a query. You get an answer. What more is there to it?
6️⃣ "I tell AI what I need, and I get it."
Cursor, Lovable, v0. Five minutes to WOW. And then five days to make it actually useful.
Seven convenient truths. Seven reasons why you're stuck.
The seventh one is the worst. Because it costs the most time and money. We're saving that one for the webinar.
What to do about it?
👉 If you use AI daily but suspect "it's not quite right" – we look forward to seeing you at the webinar.
👉 If you have people on your team who hide behind "I know how to use ChatGPT" – send them the link.
👉 If you're waiting for arguments to convince management to invest more in AI than just a ChatGPT license – you'll get them.
May 25, 2026 | online | free
„LLMs work best as eager but inexperienced research assistants: good at mapping known landscapes, bad at deciding what matters."
– Vaughn Tan
Weekend Reading
AI companies are pivoting from creating gods to building products. Good.
Princeton academics Narayanan and Kapoor explain why much of the AI hype will be shattered by the reality of product work. Five obstacles that companies are struggling with today — and that a ChatGPT prompt won't solve.
.png)
