Business cases, not syllogisms
6 hours of practice: cognitive biases, argumentation errors, and AI as a verification tool — with examples from your industry.
Book a trainingYour team uses ChatGPT every day. The cost of one unchecked error keeps rising. This training teaches how to tell fact from opinion and verify information — through business cases, not syllogisms.
Critical thinking training: 8 cognitive biases, 9 argumentation errors, AI for fact-checking. 6 hours of practice on business cases.
6 hours of practice: cognitive biases, argumentation errors, and AI as a verification tool — with examples from your industry.
Book a trainingUsers on X (Twitter) ask "Grok, is that true?" roughly every 5 minutes. Your employees do the same with ChatGPT. Delegating information verification to AI isn't critical thinking — it's the absence of it. The more your team uses AI, the higher the cost of one unchecked error.
The team picks a strategy because "everyone agrees." Six months later — zero results. The post-mortem reveals: the data was there, but it was interpreted through confirmation bias and anchoring. Decisions made on "intuition" look rational in hindsight — but they cost the most.
Employees copy-paste ChatGPT answers into reports without verification, present AI hallucinations as facts, and build arguments on unchecked data. The cost of one unverified error multiplies across everyone who uses that report for their own decisions.
The famous graph — "Mount Stupid," "Valley of Despair," "Plateau of Wisdom" — has nothing to do with the original 1999 Dunning-Kruger study. The study found: novices significantly overestimate their abilities, experts slightly underestimate theirs. But the viral image turned this into a curve the study never showed. This is the best illustration of why critical thinking training matters.
In the training, participants learn to identify which concept of truth they and their counterparts rely on. This changes the quality of negotiations, feedback, and decision-making. Part of the training covers using AI tools for fact-checking and cross-validating information.
Research shows up to 60% of business decisions are influenced by cognitive biases — confirmation bias, anchoring, survivorship bias. Teams lose up to 30% of their effectiveness without even noticing. In this training, we cover the 8 biases most common in business contexts — through real cases, not abstract examples. Each participant learns to recognize their own patterns and apply neutralization frameworks: red team, pre-mortem, Devil's advocate.
Post Hoc, Ad Hominem, Straw Man, Slippery Slope — these aren't academic terms, they're the daily reality of business negotiations and presentations. In this training, participants analyze the 9 most common fallacies using real texts, negotiations, and media examples — learning not only to detect manipulation but also to build persuasive arguments without logical traps.
Research shows 76% of users accept AI outputs without verification, and 68% cannot identify logical fallacies in AI-generated text. The more actively your team uses ChatGPT and other AI tools, the higher the cost of one unchecked error. In this training, we teach how to use AI as a verification tool — cross-validation via Perplexity, hypothesis stress-testing, source checking — instead of delegating it the role of a source of truth.
Employees trust AI without checking, decisions made on gut feeling, mistakes repeat
SolutionTeam gains a shared language for decision review and information verification tools
No critical thinking training for business context — only academic logic and syllogisms
Solution6 hours of practice on industry cases + skill reinforcement via micro-tasks
You want to spot manipulation, stop falling for misinformation, and make better decisions — but don't know where to start
SolutionOpen training: 6 hours of practice in a cross-industry group + personal decision-checking checklist. $50.
Trainer
Master of Philosophy (epistemology, logic, argumentation). CEO of EdUnit. Delivered over 30 trainings and strategic sessions. University teaching experience.
What CT is and why it matters. 5 concepts of truth. Fact vs opinion. Verifiability and falsifiability. Hypothesis, concept, theory.
8 key biases through business cases: from stereotyping to the "curse of knowledge." Debunking the Dunning-Kruger graph myth. Heuristics: brainstorming, morphological analysis, role-based perspectives.
9 common argumentation errors: Post Hoc, Ad Hominem, Straw Man, and more. AI for fact-checking with ChatGPT and Perplexity. "Grok, is that true?" — why you can't delegate truth.
Decision-making frameworks: red team, pre-mortem, Devil's advocate. Practice: analyzing participants' real decisions using red team, pre-mortem, Devil's advocate frameworks. Creating a personal decision-making checklist.
Private session for your team. Cases adapted to your industry and real situations.
Mixed group from different companies. Networking and cross-industry experience sharing.
Prices are indicative. Final cost confirmed in contract.
From-scratch training with ChatGPT, Claude, and Perplexity. First result in 3 hours on your own tasks. For business, educators, and anyone getting started.
88% say feedback matters, but 57% don't get honest feedback. Training with role-plays: SBI, feedforward, BOFF. 3 hours of practice on your real situations.
Conflicts cost 2.8 h/week per employee. EQ training: emotion recognition, empathy, de-escalation. Two 2-hour sessions with practice on your real situations.