
Explain generative AI and how it differs from discriminative AI, outline foundation models and media types, and discuss local vs global gains for four organizational personas.
Gen AI shifts work from execution to automation and from workers to workflow designers, highlighting sub-task structure, structured reasoning, and three modes: co-creation, validation, orchestration.
Explore the technical aspects of Gen AI, including LLMs and foundation models, multimodal and MoE architectures, tokenization, embeddings, attention, context windows, and RAG, plus fine-tuning and LoRA to reduce hallucinations.
Explore seven common pain points in Gen AI adoption, including unrealistic expectations, insufficient tools, trust and quality issues, workflow misalignment, disorganization, anxiety and stigmas, stochastic degradation, and shadow Gen AI.
Explore how Gen AI enhances negotiation preparation through counterparty situation analysis, multiparty coalition mapping, and scenario simulation, highlighting automation limits, risks, and data governance concerns.
Gen AI counterparty analysis automates data aggregation from news, filings, CRM history, and past emails to map urgency, constraints, stakeholders, and BATNA, yielding faster, structured negotiation prep and scalable insights.
Gen AI scenario simulation and stress-testing generates plausible negotiation scenarios, stress-tests positions, and maps decision trees to prepare contingencies, reducing surprises at the negotiating table.
Discover how Gen AI enhances negotiation performance through analysis, debriefing, and objection preparation, with pattern detection, decision reconstruction, and a playbook of minimum positions and walkaway points.
Gen AI accelerates negotiation prep through debrief and review, objection reframes, and playbook building with structured, automatable analysis, while highlighting accuracy, bias, and hallucination risks.
Leverage Gen AI to ingest transcripts and notes, identify concessions and turning points, map decision sequences, and profile counterparts for faster, more structured negotiation debriefs.
Explore using Gen AI to generate objections, propose reframes, calibrate tone, stress-test responses, and build a shared objection library to strengthen negotiation preparation.
Explore how Gen AI enhances negotiation by preparing for and executing negotiations, analyzing counterparties, mapping coalitions, simulating scenarios, and building structured playbooks.
BETTER NEGOTIATIONS WITH GEN AI
Gen AI is reshaping how we negotiate. Both before we sit at the table, and during the execution, itself.
You can prepare faster, think more clearly under pressure, and understand your counterparties at a deeper level with Gen AI.
The problem is, not everyone knows how to do this effectively.
(An additional problem is - the other side may also be using Gen AI!)
So, how can we actually use Gen AI across various negotiation workflows, effectively, from preparation to the live dynamics and post-analysis?
That's what we will explore in this course.
LET ME TELL YOU... EVERYTHING.
Some people - including me - love to know what they're getting in a package.
And by this, I mean, EVERYTHING that is in the package.
So, here is a list of everything that this course covers:
You'll learn about Gen AI literacy. How it's impacting the world right now, the 3 tiers of Gen AI tasks, what is hype and what is true capability, how Gen AI changes work and workflows, basic technical aspects of models (parameters, context window, embeddings and vectorization, etc), common pain points, and more;
You'll learn about working with Gen AI. The right frame to adopt, the basic components of prompts and how to do prompt engineering, the major modes of working with Gen AI (interfaces, embedded in programs and/or agents), structuring reasoning (including common structures like chains, loops, validation loops), the major types of errors and how to vet them (hallucinations, insufficient outputs, untable outputs, biases), the uncanny and weird effects of using Gen AI (editor syndrome, the "Gendela Effect", etc), key principles to adopt Gen AI at work, and "problems at the joints" (when individual outputs work, but they don't fit together);
You'll learn how to prepare for negotiations with Gen AI, including analyzing counterparties, mapping multiparty coalitions, and mapping/stress-testing various scenarios;
You'll learn how to improve negotiation performance with Gen AI, including performing negotiation debriefs and reviews with Gen AI, preparing answers and reframes to objections, and building position maps/playbook with Gen AI;
MY INVITATION TO YOU
Remember that you always have a 30-day money-back guarantee, so there is no risk for you.
Also, I suggest you make use of the free preview videos to make sure the course really is a fit. I don't want you to waste your money.
If you think this course is a fit, and can take your knowledge of dealing with change to the next level... it would be a pleasure to have you as a student.
See on the other side!