Last updated: 2026-03-09

AI Prompting Tactics: Notes for Developers

By Shashank Gupta — Demand Planning Strategist | Top-14 CEO1M, Adecco | ex-VP (Consulting), ShARE IITB | B.Tech IIT Bombay | MBA (Operations)

Unlock a comprehensive, battle-tested guide to prompting AI for developers. Learn how structured prompts, explicit goals, and stepwise reasoning improve accuracy, reliability, and task completion in real-world apps. Includes concrete examples and practical strategies you can implement immediately to reduce hallucinations and accelerate development.

Published: 2026-03-09

Primary Outcome

Developers can consistently elicit accurate, on-target AI responses in development tasks by applying structured prompts and stepwise reasoning.

Who This Is For

What You'll Learn

Prerequisites

About the Creator

Shashank Gupta — Demand Planning Strategist | Top-14 CEO1M, Adecco | ex-VP (Consulting), ShARE IITB | B.Tech IIT Bombay | MBA (Operations)

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FAQ

What is "AI Prompting Tactics: Notes for Developers"?

Unlock a comprehensive, battle-tested guide to prompting AI for developers. Learn how structured prompts, explicit goals, and stepwise reasoning improve accuracy, reliability, and task completion in real-world apps. Includes concrete examples and practical strategies you can implement immediately to reduce hallucinations and accelerate development.

Who created this playbook?

Created by Shashank Gupta, Demand Planning Strategist | Top-14 CEO1M, Adecco | ex-VP (Consulting), ShARE IITB | B.Tech IIT Bombay | MBA (Operations).

Who is this playbook for?

Frontend and backend developers integrating LLMs who need reliable, production-ready prompts, ML engineers focused on reducing hallucinations and improving prompt reliability in real-world tasks, Team leads and architects building scalable AI initiatives seeking repeatable prompting systems

What are the prerequisites?

Basic understanding of AI/ML concepts. Access to AI tools. No coding skills required.

What's included?

structured prompting framework. real-world examples. reliable outputs

How much does it cost?

$0.70.

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