GPT-4.1 Prompting Techniques & How to Build Powerful Agentic Workflows | Mastering Chain-of-Thought Analyses & Prompt Engineering
Description
In this episode, we unravel the cutting-edge strategies for harnessing GPT-4.1’s powerhouse capabilities, diving into a guide that transforms how you prompt AI for jaw-dropping results. We explore why explicit, literal instructions are non-negotiable for its advanced instruction-following, how it solves 55% of coding challenges on SWE-bench Verified, and the way its 1M token context window tackles massive datasets.
From agentic workflows that automate complex tasks to sidestepping pitfalls like hallucinated tool inputs, we reveal the tactics to unlock AI’s full potential and avoid costly missteps.We unpack the art of structuring prompts with Markdown or XML for clarity, using the API’s tools field to streamline interactions, and inducing step-by-step planning to boost performance by 4%. You’ll discover why placing instructions at both ends of long contexts outperforms single placements, how the V4A diff format revolutionizes code updates, and what common failure modes—like repetitive phrasing could derail your AI.
Whether you’re building workflows or parsing documents, this episode arms you with the blueprint to steer GPT-4.1 like a pro and dominate AI-driven innovation in 2025.Whether you’re a developer, founder, or just chasing AI’s millions, this episode exposes the prompting secrets that could amplify your projects or leave you stuck.
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