RCTF Prompting: Getting Accurate Data and Code from AI | 30th Jan 2026
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How Role, Context, Task, and Format Transform AI Outputs
In this episode of the Colaberry AI Podcast, we break down the RCTF Prompting Framework—a practical, repeatable approach designed to dramatically improve the accuracy, reliability, and usefulness of AI-generated data and code. As organizations increasingly rely on AI for analytics, engineering, and decision-making, vague prompts often lead to hallucinations, incorrect logic, or unusable outputs. RCTF offers a clear solution to this problem.
The framework is built around four essential components: Role, Context, Task…
The skinny
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