Ultimate Generative Persuasion: Sell and Present w/ ChatGPT

Explore the basics of persuasion and LLMs, learn how prompts and prompting shape outputs, and discover how LLMs support speaking, selling, defending against manipulation, and social skills.

Learn the basics of persuasion, its four use cases, and 11 categories of persuasion and manipulation. Explore the five stages: pre-framing, priming, interaction, disarmament, closing, and apply to llm contexts.

Explore the basics of large language models and generative AI, how they work, their limitations like hallucinations and context windows, and practical uses in sales scripts and presentations.

Explore how LLMs support persuasion across five use cases—generators, adapters, distillers, simulators, and automators—while outlining do’s, don’ts, and practical modes of use.

Master the basics of prompting LLMs for persuasion, shaping tone, length, and audience through prompt engineering to generate tailored outputs and improve messaging.

Master LLM persuasion through prompt engineering by defining tone and voice, performing multiple passes, and adding meta commentary and scores to craft sales and presentation copy.

Review the fundamentals of LLMs and persuasion, covering five topics—from basics and use cases to prompt engineering techniques for persuasion.

Learn to use LLMs to generate personalized one-on-one messages, analyze texts for emotions and tone, simulate conversations, and apply targeted persuasion techniques for interpersonal interactions.

Generate and adapt text for one-on-one conversations, including follow-up emails, meeting requests, and tailored messages, while refining grammar, tone, and alignment with others' preferences.

Learn how to generate and adapt personalized follow-up messages after networking events using ChatGPT, tailor templates for multiple profiles, and create a dedicated GPT for invitations.

Distilling teaches extracting insights, conclusions, and action items from one-on-one conversations and meeting minutes using LLMs. It covers sentiment analysis and needs discovery for selling, presenting, and networking.

Distill conclusions from meetings by extracting insights, meeting minutes, and action items with ai, while vetting for feasibility and avoiding hallucinations.

Explore simulating and automating one-on-one interactions with an LLM to rehearse meetings, tough conversations, and sales pitches, with real-time scoring and persona-based role plays.

Simulate tough conversations with a friend by using ChatGPT to create a dedicated GPT, roleplay scenarios, set personalities, and practice empathy, boundaries, and persuasion.

Explore persuasion techniques such as situational empathy, confirmatory mirroring, adverse transparency, and tension, and learn to teach LLMs to generate more persuasive one-on-one text.

Learn to apply persuasion techniques like situational empathy, confirmatory mirroring, adverse transparency, and tension in generated conversations and tough-scenario simulations, with explicit labeling.

Practice generative persuasion by simulating tough-conversation GPT with a narcissistic finance coworker, role-play responses, and tailor an interpretation-focused email for collaborative review.

Create a meeting agenda for a green bonds initiative, identify attendee objections, and prepare a Q&A, then distill meeting minutes into key actions.

We review how to use LLMs to generate and adapt text, distill conclusions, simulate conversations, and automate interpersonal one-on-one interactions for persuasion, emphasizing empathy, transparency, and tension.

Power up your public speaking with llms by generating and adapting presentations, openings, and calls to action. Distill conclusions from data and build self-service llm tools for questions and negotiations.

Generate and adapt presentation text with llms, creating outlines, speeches, and openings tailored to audiences, vocabularies, and timeframes for public speaking.

Generate a finance public speaking presentation using a structured, audience-aware approach with clear content, delivery techniques, visual aids, question and answer, and strategies to simplify complex topics and build credibility.

Learn how LLMs distill conclusions and insights from your own content for public speaking. Boil complex topics and numbers into simple, shareable calls to action and key points.

I demonstrate distilling a presentation into key takeaways with ChatGPT, focusing on unitrash debt products, borrower needs, sponsor benefits, and simplified financing structures.

Explore simulating and automating self-service LLMs to support speaking engagements, provide Q and A autoresponses, and scale public presentations through automated workflows.

Learn four persuasion techniques for public speaking and teaching LLMs to generate more persuasive presentations: recency and primacy effects, using positive potential, inserting clear structures, and summarizing key points.

Craft a presentation with a presentation crafter, applying persuasion techniques, including primacy and recency, bold openings, vivid hypothetical scenarios, and a clear 3–5 part structure for progress and summarizing.

Build a multi-audience presentation with ChatGPT: generate slide text, distill insights, polarize language, and automate a Q&A for the talk, using accountants as an example.

Crunch numbers and derive conclusions to generate a simplified presentation on AI market growth; repurpose content into clear slides and a basic audience version.

Apply LLMs to accelerate and elevate your public speaking by generating and adapting speeches, distilling key points, and automating inquiries, while leveraging persuasion techniques to deliver compelling presentations.

Accelerate selling, pitching, and fundraising with LLMs to generate tailored presentations, collateral, and messaging, while distilling needs, extracting emotions, and applying persuasion techniques across offerings.

Generate and adapt sales text with LLMs to create pitch decks, contracts, FAQs, and proposals, tailoring content to specific clients or investors while validating details and maintaining consistency.

Generate and adapt sales-focused text with a custom GPT to craft benefits, elevator pitches, and concise course copy, while uploading knowledge as a mini database to tailor copy.

Distill use cases in a sales context with LLMs to uncover objections, identify customer needs, and distill contract risks for better pitches and negotiations.

Distill customer language from Amazon reviews by extracting the vocabulary and expressions buyers use; apply them to sales-page copy to mirror customers and improve persuasion.

Explore simulating and automating selling, pitching, and fundraising with self-service llms for external product and investment information, plus internal training through role-play to boost effectiveness.

Practice building a bot that simulates selling products using ChatGPT, upload product information, and generate tailored sales pitches while managing hallucinations and selling multiple courses.

Learn four persuasion techniques to boost sales and presentations: position yourself as first/best/only, indoctrinate leads with vocabulary and frameworks, evoke positive potential, and use selective comparisons, all teachable to llms.

Learn to tailor web selling techniques using first, best, or only positioning, visualized benefits, and emotional as well as logical appeals to craft persuasive copy and instances with paired techniques.

Demonstrate building a sales playbook, adding a new product, and generating an objection companion, with adaptive prompts and guidelines to tailor to high-ticket cars like Mercedes.

Generate a fundraising assistant workflow: create boilerplate pitch, practice Q&A, tailor slides and emails to specific funds and portfolio synergies, and roleplay investors to rehearse a renewable-energy battery startup pitch.

Uncover how to use llms to accelerate selling, pitching, and fundraising—from generating and adapting sales materials to distilling insights, applying persuasion techniques, and automating follow-ups.

Leverage LLMs to negotiate better by generating and adapting contracts and proposals, distilling key terms, and practicing persuasion techniques through self-service simulations.

Generate and adapt contract text for negotiations using prompts and templates, tailoring clauses, terms, and responses while preserving key details and avoiding hallucinations.

Generate and adapt coaching agreements with a negotiation assistant, crafting clauses on sessions, fees, pause rights, and 2000 euros monthly, within a three-month, 12-session program.

Distill key contract terms and potential consequences in negotiation using LLMs. Identify red flags, simulate scenarios, and tailor clauses to prospects' specific needs.

Distill contract conclusions using a negotiation assistant, extract advantageous clauses for client or coach, and analyze outcomes under different scenarios including confidentiality, liability, and dispute resolution.

Explore simulating and automating negotiations with self-service LLMs, using auto responders and role-playing to train and conduct negotiations. Notes risks like hallucinations and the need to keep key terms consistent.

Practice negotiation by using a role-playing GPT to simulate pricing talks, experiment with defaults and payment plans, and refine persuasion strategies through emotion, criteria, and feedback.

Explore four persuasion techniques: respect and compliments, giving with a sacrifice, illustrating progress and momentum, and implementation intention, and train an llm to negotiate better.

Explore practical negotiation techniques—respect and compliments, giving with a sacrifice, concessions, implementation intention, and open-ended questions—through live role-play and bracketed prompts for effective ChatGPT persuasion.

Generate and adapt contract boilerplates for internet service agreements, and present counter offers. Distill consequences of downtime clauses and craft persuasive emails with price adjustments to preserve the negotiation relationship.

Create and test an automated negotiation assistant using a new GPT stack, adding meta commentary, scoring, and emotion simulation to guide strategy and improve persuasive negotiation.

Leverage LLMs to enhance and accelerate negotiation, covering generate and adapt, distill key terms, simulate and automate, and apply persuasion techniques such as sacrifice, respect and compliments, and implementation intention.

Enhance your communication with LLMs to persuade in general, improving grammar, tone, vocabulary, and social skills. Explore generating and adapting, distilling insights, and building LLM instances for applied persuasion.

Explore how to generate and adapt text with LLMs for scripts, presentations, emails, and documents, then tailor tone, jargon, grammar, and social skills for specific audiences.

Master generating and adapting text with AI, from grammar fixes to crisper, more appealing video scripts for YouTube shorts, and tailor length and tone for persuasive messaging.

Learn how LLMs distill insights and conclusions from text, extract sentiment and feedback, and summarize documents to support research, selling, and presentations.

Distill video scripts into concise key takeaways, then repurpose them into blog posts, YouTube descriptions, and intros, linking related videos for cohesive course marketing.

Learn to generate, adapt, and distill persuasive text with ChatGPT and other LLMs, then practice applying scripts, tone, and insights from conversations for effective communication.

Explore best practices for using LLMs to persuade across sales and communication, including the mini database approach, tempering, troubleshooting, and preserving your persuasion.

Explore the mini database approach to tailor LLMs by mixing small text files and databases for marketing, sales, and voice replication with ChatGPT.

Learn the mini database approach by building task-specific GPT instances with uploaded data and a persuasion wiki, enabling marketing emails, video scripts, and course promotion.

Tempering LLMs shows how to upload metric-rich mini databases, such as email open rates and video engagement, to bias generation toward high-quality, high-converting content.

This lecture demonstrates tempering an LLM by using top-performing shorts as a template to craft clear, high-engagement scripts with strong hooks and concise delivery.

Learn to troubleshoot LLMs for persuasion and selling by identifying context limits, degeneration, hallucinations, nerfing, and accountability issues, and apply practical solutions like restarting conversations and separate instances.

Master troubleshooting for generative persuasion with ChatGPT, refining prompts to unlock negotiation techniques, prevent context degeneration and hallucinations, and apply de-identification to protect sensitive data.

Preserve your persuasion by staying involved and building on AI, recognizing what LLMs can and cannot do. Keep practicing real-time selling, negotiations, and personal warmth, even when automating with AI.

Preserve your persuasion by crafting scripts from scratch rather than copying AI outputs, knowing your limits, drawing clear boundaries, and staying actively involved through continual learning and refinement.

Conclude the best practices module by recapping how to augment persuasion with llms, using the mini database approach, tempering, troubleshooting context issues, and preserving your persuasive skills.

Clarify generative ai basics, explain how it works, and map its industry value through the three tiers of usefulness and the three work modes: co-creation, validation, and orchestration.

Understand generative ai and foundation models, how they produce local gains in text while risking global unpredictability, and how adoption shapes work, ownership, and augmentation rather than replacement.

Identify three tiers of usefulness for gen AI—very useful for rewriting and summarization, somewhat useful for decision support, and dangerous for high-stakes tasks.

Gen AI shifts work from performing tasks to automating them and from workers to workflow designers. Break work into subtasks, orchestrate AI-driven processes, and validate outputs across co-creation and orchestration.

Explore the technical foundations of generative AI, including foundation and multimodal models, mixtures of experts, tokenization, embeddings, attention and context windows, and techniques like fine tuning and retrieval augmented generation.

Identify seven major pain points in JNI adoption, from unrealistic expectations and unfit tools to output quality issues, workflow misalignment, governance gaps, anxiety, and stochastic degradation.

Examine the current AI landscape, what AI can and cannot do, and how it changes work, from automators to editors, plus core concepts like tokens and context windows.

Recap the seven modules of the ultimate generative persuasion course, showing how to use LLMs for persuasion, pitching, selling, fundraising, presenting, and negotiating.