You're driving a Formula 1 car in first gear. That's how 90% of companies are using AI, and it's the single biggest reason their multi-million dollar investments are failing to deliver.

In Part 2 of the Prompting Revolution, Malcolm Werchota reveals the shocking data from a recent enterprise audit: 90% of all prompts are simple, one-shot requests—a strategy that guarantees inconsistent results and wasted potential. While you're hoping for a good answer, your competitors are engineering intelligent workflows.

Live from Bregenz, Malcolm moves beyond the basics and provides the playbook for the new era of "Flow-Engineering." He dissects the five advanced techniques that separate the hobbyists from the high-ROI professionals, proving why the key to unlocking AI's power isn't a single perfect prompt, but a strategic, multi-step process.

Top 5 Advanced Techniques:

1. Strategic Few-Shot Prompting: Stop giving the AI answers; teach it how to think with embedded "Chain-of-Thought" reasoning for superior problem-solving.
2. The Self-Refining Prompt: Force your AI to critique and improve its own work, achieving a proven 20% absolute performance boost through automated self-correction.
3. Auto-CoT for Scaled Expertise: Automate the creation of expert-level reasoning examples, unlocking complex problem-solving across your entire organization without the manual effort.
4. The Prefill Control Strategy: Move from requesting to engineering. Learn the simple trick to force 100% format compliance for JSON and other structured data, eliminating errors.
5. Systematic Evaluation: Ditch the "gut feeling." Implement professional frameworks with tools like Promptfoo to measure, prove, and improve your AI's performance like a true engineer.

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