Master the
Flow State.
Go from Prompt Anatomy to RAG and AI Agents. Master Gemini, Claude, and ChatGPT through interactive logic sequencing and terminal injections. No fluff. Just logic.
Introduction to Prompting
Master the core elements of a prompt, LLM settings, and the shift from zero-shot to few-shot interactions.
Zero-Shot Prompting
Learn how to directly instruct models without providing examples, leveraging their pre-trained knowledge and instruction tuning.
Few-Shot Prompting
Enable in-context learning. Steer model performance and output formats by providing demonstrations directly in the prompt.
Chain-of-Thought (CoT)
Enable complex reasoning capabilities by forcing the model to break down problems into intermediate logical steps.
Meta Prompting
Master abstract, structure-oriented prompting to create reusable templates for complex reasoning without relying on specific examples.
Tree of Thoughts (ToT)
Navigate complex tasks requiring strategic lookahead by simulating multiple reasoning paths, evaluating them, and backtracking when necessary.
Claude: XML & Prefilling
Master Anthropic's preferred syntax. Use XML tags to securely structure context and 'prefill' responses to force exact formatting.
ChatGPT: Systems & Code
Build robust ChatGPT personas using the System Message, and trigger OpenAI's Advanced Data Analysis (Code Interpreter).
Gemini: Multimodal & Workspace
Leverage Gemini 1.5's massive context window to fuse audio, video, and text, and ground responses using Google Workspace extensions.
Prompt Injection & Security
Defend your applications against malicious prompt injections, jailbreaks, and prompt leaking using sandboxing and explicit boundary constraints.
ReAct: Reasoning & Acting
Build the foundation of AI Agents. Combine Chain-of-Thought reasoning with the ability to take actions (like browsing the web) in a continuous loop.
RAG Prompting Basics
Master the structure of Retrieval-Augmented Generation, the enterprise standard for grounding AI responses in private company data.
Function Calling / Tools
Force the model to output strict JSON parameters to trigger backend code, APIs, and external functions.