werchota.ai

Hands-on workshop on advanced prompting techniques

Microsoft

Johnson & Johnson

Nestlé

LGT group

Angelini Pharma

Malcolm Werchota

Co-founder coatingAI, AI Consultant with 50+ workshops for CXOs

Learn to structure prompts using JSON format, organizing instructions and outcomes for precise, repeatable AI responses

Reduce AI errors with precision JSON formatting

Develop prompts that encourage AI to think through each step logically, to help you with analysis and decision-making

Use chain-of-thought prompting for in-depth responses

Learn to use multiple AI agents in tandem to validate responses, allowing one prompt to cross-check another

Leverage multi-agent prompting for quality control

Learn how to overcome issues like vague responses and “hallucinations” by guiding AI effectively

Avoid common AI pitfalls with advanced prompting

Apply techniques to real-world tasks like data analysis, customer service, and decision-making

Discover use cases for advanced prompting

See the latest GC AI courses at https://gc.ai/learn-ai

GC AI Founder and CEO

Cecilia Ziniti

3x GC Cecilia Ziniti or an experienced GC AI Solutions Attorney

Cohort 55 - February 4, 2026

Future Cohort

Legal AI is here to stay, but most legal professionals are still unsure how to best use it. This class gives you everything you need to know to become a top 1% legal prompter. We'll start with an intro about how AI works. Then you’ll run AI prompts with expert tips and tricks. By the end of the class, you’ll know how to prompt like a pro, save time on legal tasks, and confidently use AI in your daily work. Once you know the AI basics and how to prompt, you'll see how much faster and easier it is to do your legal work. Created by GC AI Founder and 3x GC Cecilia Ziniti, this class has helped thousands of lawyers 10x their efficiency with AI. See the difference becoming an AI-powered lawyer can make. ⚡ Continuing Legal Education (CLE) Credit InformationProvider will apply for CA MCLE Accreditation for certain instructors. *Note: This class is taught using GC AI (gc.ai), the legal AI platform built specifically for in-house lawyers and legal professionals. All participants will receive access to a free GC AI trial to use during the class. While you can use a generic AI tool for class, you will get better results with less effort by using GC AI.

Learn how AI works and how to get great results for legal questions

General Counsel who want to work faster and smarter with AI.

Legal Ops Managers looking to streamline workflows and boost efficiency and bring AI to the teams they support.

Commercial or Corporate Counsel who want to understand detailed contract review and markup use cases.

GC AI Founder and 3x GC

Cohort 28 - February 5, 2026

You’ve got the legal AI basics down. Now it's time to start prompting like an expert. This advanced class is designed for in-house legal professionals who already understand the fundamentals of AI prompting and are looking to sharpen their skills. You’ll learn how large language models “think,” what they do well, where they struggle, and how to structure prompts for complex legal tasks. Once you know how to prompt like an expert, you’ll see AI as a trusted part of your legal team and become a top 1% legal prompter. Taught by GC AI Founder and 3x GC Cecilia Ziniti or an experienced GC AI Solutions Attorney, this class has helped thousands of lawyers 10x their efficiency with AI. See what’s possible when you become an AI-powered lawyer. ⚡ Continuing Legal Education (CLE) Credit InformationProvider will apply for CA MCLE Accreditation for certain instructors. *Note: This class is taught using GC AI (gc.ai), the legal AI platform built specifically for in-house lawyers and legal professionals. All participants will receive access to a free GC AI trial to use during the class. While you can use a generic AI tool for class, you will get better results with less effort by using GC AI.

Become the AI leader for your team

Master advanced prompting techniques

Build repeatable legal workflows with AI

General Counsel who want to work faster and smarter with AI.

Legal Ops Managers looking to streamline workflows, boost efficiency, and bring AI to the teams they support.

Let PromptRefiner™ Score and Refine Your Prompt for Better AI Responses

 Advisor | Creator of PromptRefiner™

Rockford University

Leland

Meridial Marketplace

CodePath

Per Scholas

Silali Banerjee

Creator, AIgogy Framework™ | Science-backed PromptRefiner™ | Advisor

CohortJune2026

Every day, people get frustrated with AI responses that are generic, drifted, shallow, or hallucinated.So they try prompt packs, prompt libraries, prompt testing, prompt bloating, and endless retries. Sometimes it works. Other times it does not.Then many people give up, thinking AI is probabilistic and therefore unreliable.That is not true.Stochastic systems can still produce mostly reliable outcomes when they are properly guided.Think of a glass of water. The surface looks stable each time the glass is filled, even though the internal state is stochastic. A good prompt works the same way. It creates a container for the model’s response and guides the request toward a desired outcome. That is true prompt engineering, not prompt improvisation.It is backed by my research work: <a target="_blank" rel="noopener noreferrer nofollow" href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6516618">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6516618</a>AI agents help with automation through guardrails, tools, checks, and retries. But they do not address drift in open-ended work such as writing, analysis, strategy, planning, decision support, and communication.PromptRefiner™ evaluates your prompt, scores it, diagnoses weak points, and gives you a stronger prompt designed for more useful AI output.

Team / AI Standardization LeadHelps a team use AI consistently. Struggles because everyone prompts differently, and output quality varies.

Content Creator/Writer/DesignerStruggles with drift, genericity, and hallucination in writing assistance from AI.

Open-Ended Work ProfessionalStruggles with a lack of judgment and standards in AI-assisted planning, analysis, decisions, and communication.

Learn to achieve reliable AI outcomes without prompt packs, system prompts, or agent tricks—use structured inputs for consistent results.

Creator, AIgogy Framework™ | Advisor

Creator of AIgogy Framework™ for reliable, structured AI outcomes

July2026Cohort

Pretty much anyone using an AI chatbot has gone through the frustration of a response that isn't exactly what they wanted. Problems include hallucinated, drifted, generic, and inconsistent output. Sometimes all of these happen; other times, one or more.People try prompt improvisation, prompt tweaking, prompt packs, prompt libraries, trial and error, tries and retries. Sometimes it works; other times, it does not.Too many details in a prompt cause prompt bloating and do not solve the problem. Adding context helps, but too much context creates problems.AI agents and skills do not solve this problem with open-ended work either.People give up, thinking LLMs are probabilistic and cannot work better.That is not true.It may never be as deterministic as systems in terms of consistency and reliability, but it can be mostly consistent and reliable.Similarly, users can create a path with an LLM using the right framework. Users can guide their request through the LLM toward their desired outcome by using the right framework.Learn to use this science-backed, proven framework.It is based on research (<a target="_blank" rel="noopener noreferrer nofollow" href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6516618">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6516618</a>) and has been tested in practice.<hr>

User's framework for moving beyond trial-and-error prompting with any LLM.

Achieve More Reliable AI Outcomes

Reflect Your Voice and Working Style

Embed Your Judgment and Standards

Reduce Rework and Increase Leverage

Leaders (Decision Owners) Leaders accountable for outcomes who need AI to reflect their judgment without reviewing or correcting every output

Operators (Execution Owners) Operators responsible for consistent delivery who need AI to produce aligned outputs without repeated rework

Knowledge Workers (Expertise Carriers) Experts who need AI to apply their domain knowledge and standards, not generate generic outputs.

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Broad professional audience — content relevant across many roles and functions.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Designing and optimizing the context window for LLM applications — prompt structure, memory, and information retrieval.

Hands-on workshop on advanced prompting techniques

What you'll learn

Why this topic matters

You'll learn from

Malcolm Werchota