Learn how to move beyond basic queries to deliver high-quality, predictable outcomes across diverse business scenarios
In the rush to adopt AI, the difference between a project that delivers value and one that fails often comes down to a single factor: the quality of the input. At Scale Factory, we believe that without a quality-first approach, there can be no confidence in AI.
Prompt Engineering is more than just “talking to a bot”. It is a rigorous discipline that sits at the intersection of logic, linguistics, and engineering.
In this webinar, our AI consultants pulled back the curtain on the frameworks we use to help our clients bridge the gap between AI potential and tangible business results. Whether you are looking to automate complex workflows, enhance data analysis, or accelerate software development, mastering the “Prompt” is your first step toward true agentic automation.
What you will learn
- The Anatomy of a Prompt: Master the foundational pillars (context, task, instruction and constraint) while exploring modular, “bead-based” frameworks for creating prompts, while scoring it against criteria of repeatability, testability and consistency
- Scenario-Based Engineering: Shift from one-off prompts to repeatable, testable systems by tailoring structural logic to specific needs, from rigorous code generation to high-level executive reporting.
- Mitigating Hallucinations: Implement practical guardrails and context-driven memory techniques to ensure accuracy and security, specifically optimised for complex agentic workflows.
- The “Human-in-the-Loop” Factor: Why rigorous quality engineering is becoming more critical as AI-assisted development becomes the norm.
