Prompt Engineering: A Guide for Better AI Answers

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Prompt Engineering: A Guide

Dr. Rashid @ NAPD


Preface

I am writing this guide day by day to promote knowledge on efficient use AI tools Like Claude, Gemini, Copilot, MetaAI, ChatGPT etc.

The objective is to enable your capacity getting accurate response avoiding erroneous and generic type response by AI tools.

Introduction

Prompt engineering matters because the same AI model can produce a vague, generic answer or a sharp, usable one, depending entirely on how the request is framed. For an organization like NAPD, where AI tools are increasingly used to draft reports, summarize policy documents, or prepare training material, a shared vocabulary and a repeatable structure for writing prompts turns AI use from a hit-or-miss exercise into a dependable part of the workflow.

The frameworks ROCE, RCTSCF, PREP, TRACE, and CREATE, are exactly that: structured checklists an official can run through before sending a prompt, so the request carries enough role, context, and intent for the model to respond well the first time.

·       ROCE: Role, Objective, Context, Examples/Content

·       RCTSCF: Role, Context, Task, Specifics, Constraints, Format

·       PREP: Point, Reason, Example, Point

·       TRACE: Task, Role, Audience, Context, Expectation

·       CREATE: Character, Request, Examples, Adjustments, Type of output, Extras

Framework and its Domain Application

Framework

Best Application

ROCE

Quick, general-purpose prompts like writing opening speech, Preface, Executive summery etc

RCTSCF

Detailed technical or specialist tasks that need tight scoping — risk assessments, policy analyses, anything with constraints on length, tone, or data.

PREP

Persuasive or argument-driven writing — recommendations, position papers, justifications that need to build a case and land on a conclusion.

TRACE

Audience-specific deliverables  like  training materials, presentations, or communications where tone and depth must match a defined audience.

CREATE

Iterative, output-format-sensitive tasks like drafting content that needs refinement, a defined structure, and specific formatting (lists, tables, reports).

 

Examples in Practice

ROCE: "Act as a project appraisal specialist (Role) preparing a briefing for senior management (Objective/Context) to explain why a proposed rural road project should be prioritized (Examples/Content), and write it as a one-page executive summary (Format)."

RCTSCF: "You are a climate resilience advisor (Role) for a coastal development agency (Context). Draft a risk assessment for a proposed embankment project (Task), focusing specifically on salinity intrusion and flood recurrence (Specifics), keeping it under 500 words and avoiding technical jargon (Constraints), and present it as a two-column table of risks and mitigations (Format)."

PREP: "We should adopt participatory budgeting for the next fiscal year (Point), because it improves transparency and community buy-in (Reason), as seen in Sylhet's pilot ward where citizen-approved projects had higher completion rates (Example), so participatory budgeting should be piloted in two more districts next year (Point restated)."

TRACE: "Write a training module outline (Task) as a curriculum designer (Role) for mid-level NAPD officials new to AI tools (Audience), given that the training must fit into a single half-day session (Context), aiming for a practical, hands-on outline rather than a theoretical one (Expectation)."

CREATE: "Act as a monitoring and evaluation officer (Character). Draft three indicators for tracking a rural electrification project (Request), similar in style to the indicators used in the last annual report (Examples), keep each indicator to a single sentence (Adjustments), present them as a numbered list (Type of Output), and flag any indicator that would need new data collection (Extras)."

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