prompt Resources

Related resources for prompt

Top 50 Prompt Engineering Techniques for Python Developers
Rohit Gupta
22h
FastAPI + LLMs: Building a Scalable AI Backend
Rohit Gupta
23h
Using LangChain Tools in Python for AI Workflow Automation
Rohit Gupta
23h
Is JSON Dead? Meet TOON – The Token-Efficient Alternative for LLM Prompts
Deepak Tewatia
2d
From Prompt Engineering to Proof: How Prompt and Context Engineering Work as One
John Godel
1w
Prompt Engineering: Actionable RAG - Evidence, Eligibility, and Citations (with a Real-World Deployment)
John Godel
1w
Prompt Engineering: Prompt Observability - Traces, Metrics, and Incident Response
John Godel
1w
Agentic Workflows in 2025: From Single Prompts to Reliable Systems
John Godel
1w
LLMs: GSCP-12 (Gödel’s Scaffolded Cognitive Prompting) for Rigorous Deductive and Inductive Reasoning in LLMs
John Godel
1w
Why Context Engineering Needs Prompt Engineers to Survive
John Godel
2w
Operational Prompt Engineering: Turning Prompts into Products
John Godel
2w
AI Agents in Practice: Experimentation & A/B Rollout Orchestrator (Prompts + Code)
John Godel
2w
AI Agents in Practice: Data Privacy & DSAR Fulfillment Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Master Data & Entity Resolution Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Warehouse Cost & Performance Optimization Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Data Quality & Lineage Incident Response Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Treasury Cash Forecasting & Liquidity Rebalancing Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: IT Access Review & Deprovisioning Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Expense Report Auditing & Reimbursement Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Sales Lead Qualification & Routing Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Automated Document Filing and Classification Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Automatic Invoice Dispute Resolution Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Fraud Detection & Prevention Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Automated Customer Onboarding & Verification Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Inventory Management & Restocking Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: Expense Report Auditor & Reimbursement Agent (Prompts + Code)
John Godel
2w
AI Agents in Practice: A Hands-On Use Case with Prompts and Code
John Godel
2w
Evidence-First Context Engineering with GSCP-12
John Godel
2w
Prompt Engineering with GSCP-12: A Classic, Use-Case Playbook
John Godel
2w
The Artificial Intelligence Firm — How Companies Will Be Built and Run in the 2030s
John Godel
2w
LLM Poisoning: Detection, Defense, and Prevention Strategies
Rohit Gupta
2w
Prompt Engineering, 2031–2035 — Interfaces that Outlast Models
John Godel
3w
Prompt Engineering - in 2030 — Operating With Receipts (Series: The Next Five Years of Prompt Engineering, Part 5)
John Godel
3w
Prompt Engineering - in 2029 — Tool Mediation and Plan Verification (Series: The Next Five Years of Prompt Engineering, Part 4)
John Godel
3w
Prompt Engineering - in 2028 — Context Engineering from Passages to Claims (Series: The Next Five Years of Prompt Engineering, Part 3)
John Godel
3w
Prompt Engineering - in 2027 — Decoding Discipline at Scale (Series: The Next Five Years of Prompt Engineering, Part 2)
John Godel
3w
Prompt Engineering - in 2026 — Contracts Become the Interface (Series: The Next Five Years of Prompt Engineering, Part 1)
John Godel
3w
Securing your AI Task Agent with Azure AI Content Safety
Cristopher Coronado
3w
Prompt Engineering: Cost & Speed: Engineering for $/Accepted Output and Predictable Latency — Part 8
John Godel
3w
Prompt Engineering: Evaluation & Operations: Goldens, Canaries, and Rollback — Part 7
John Godel
3w
Prompt Engineering: Validators and Safety - Fail Closed, Repair Small — Part 6
John Godel
3w
Prompt Engineering: Tool Mediation - Propose → Validate → Execute — Part 5
John Godel
3w
Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims
John Godel
3w
Prompt Engineering: Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims — Part 4
John Godel
3w
Prompt Engineering: Style, Persona, and Lexicon Control Without Fine-Tuning — Part 3
John Godel
3w
Prompt Engineering: Decoding Discipline - Sampling Policies and Sectioned Generation — Part 2
John Godel
3w
Prompt Engineering Contracts: Turning Language into Reliable Systems - Part 1
John Godel
3w
Full-Stack Prompt Engineering with GSCP-12 — A Technical Blueprint
John Godel
3w
Prompt Engineering: The Full-Stack Prompt Engineer - Unifying Prompt & Context Engineering
John Godel
3w
The Full-Stack Prompt Engineer: Unifying Prompt & Context Engineering
John Godel
3w
Generative AI, Part 3 — Programmatic Creativity: Templates, Prompts, and Pluggable Generators for Content at Scale
John Godel
3w
Generative AI, Part 2 — Style, Persona & Brand: Controllable Generation Without Fine-Tuning
John Godel
3w
Generative AI, Part 1 — Decoding & Control: How to Make Models Write What You Want
John Godel
3w
Context Engineering: Managing Prompt Costs at Enterprise Scale — Practical Approaches
John Godel
3w
n8n AI Workflow Builder Beta – From Prompts to Automated Workflows
Rohit Gupta
3w
Is Context Engineering the Future of AI Development
Mahesh Chand
3w
“Context Engineering” Is Just Rebranding: Prompt Engineering Already Owns the Context
John Godel
3w
Prompt Engineering vs. Context Engineering: A Technical Reality Check
John Godel
3w
Context Engineering vs. Prompt Engineering: A Technical Reality Check
John Godel
3w
Prompt Engineering: Why Prompt Engineering Is a Prerequisite for Context Engineering
John Godel
3w
Why Prompt Engineering Is a Prerequisite for Context Engineering
John Godel
3w
Prompt Engineering: Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset
John Godel
3w
Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset
John Godel
3w
Context Engineering: Why Prompt Engineering Is Engineering—but Context Engineering Is Not Really
John Godel
3w
Context Engineering Is an Urban Legend — Prompt Engineering Is the Operating System
John Godel
3w
Context Engineering: No AI Future Without Prompt Engineering - Why Text, Voice, and Every Form of Prompting Is Non-Negotiable
John Godel
3w
Using Prompt Engineers to Help CROs Fix Hidden Revenue Leaks, Keep Customers, and Drive Expansion
John Godel
3w
Prompt Engineering Is the Must-Have; Context Engineering Is Its Power Assist
John Godel
3w
What Are the Main Components of Context Engineering?
Mahesh Chand
3w
LLMs: Build an AI Healthcare App with Streamlit and GPT-5 (In-Depth)
John Godel
3w
LLMs: From Tokens to Dollars: Cost Engineering for LLM Apps
John Godel
3w
Can You Do Context Engineering Without Prompt Engineering?
John Godel
3w
Difference Between Prompt Engineering and Context Engineering
Mahesh Chand
3w
Context Engineering with Gödel’s AgentOS and Prompt Engineering
John Godel
3w
Context Engineering Is Not a Replacement for Prompt Engineering—It’s a Complement
John Godel
3w
Context Engineering, Right Now: Turning Raw Data into Reliable AI
John Godel
3w
Without Prompt Engineering, There Is No Context Engineering
John Godel
3w
Context Engineering vs Prompt Engineering — The Next Evolution in AI Design
Mahesh Chand
3w
Context Engineering - The Future of Intelligent AI Systems
Mahesh Chand
3w
Context Engineering Tutorial: How to Build Smarter AI Systems That Think in Context
Mahesh Chand
4w
What is Context Engineering? The Next Evolution Beyond Prompt Engineering
Mahesh Chand
4w
🧭 Vibe Coding: The Professional Prompt Engineering Approach to Emotional Precision in AI
John Godel
4w
Prompt Engineering: How GSCP Stays Fast - Eliminating Runtime Overhead While Preserving Multi-Step Validation
John Godel
Oct 08
Difference Between a Prompt and a Prompt Template
Mahesh Chand
Oct 06
How Do I Start a Career in Prompt Engineering?
Mahesh Chand
Oct 06
How to Combine Tabular Data with LLMs Effectively
Riya Patel
Oct 03
Large Language Models (LLMs) With Guardrails: How GSCP Turns Raw Capability Into Reliable Systems
John Godel
Oct 01
Effective Context Engineering for AI Agents: Best Practices and Frameworks
Rohit Gupta
Oct 01
The Age of Prompt Architects
John Godel
Sep 30
How Prompt Engineering Will Change Human Life in the Next Five Years: Guided by GSCP
John Godel
Sep 30
Best Practices for Prompt Engineering in Data Science
Riya Patel
Sep 30
Production Prompt Engineering: A Complete, Copy-Paste Prompt for One Real Use Case
John Godel
Sep 29
Prompt Engineering: Why Your Autonomous IDE Must Deliver End-to-End Solutions While You Sleep
John Godel
Sep 27
Prompt Engineering to Systems Design: Turning Language Into Reliable Software
John Godel
Sep 26
🤔 What is Grounding in AI Prompts?
Vijay Kumari
Sep 26
Case Study: Secure Legal Assistant — An Enterprise AI System That Refuses to Break Confidentiality, Even When Ordered To
Tuhin Paul
Sep 26
Generative AI for Legal Professionals: Insights Three Years Into the Wave
John Godel
Sep 25
🔗 What is Prompt Chaining in AI?
Avnii Thakur
Sep 25
🛡️ Understanding Prompt Injection in AI: Risks and Prevention
Avnii Thakur
Sep 25
📝 Prompt Injection: What It Is and How to Prevent It
Vijay Kumari
Sep 25

Topics

Top 50 Prompt Engineering Techniques for Python Developers

FastAPI + LLMs: Building a Scalable AI Backend

Using LangChain Tools in Python for AI Workflow Automation

Is JSON Dead? Meet TOON – The Token-Efficient Alternative for LLM Prompts

From Prompt Engineering to Proof: How Prompt and Context Engineering Work as One

Prompt Engineering: Actionable RAG - Evidence, Eligibility, and Citations (with a Real-World Deployment)

Prompt Engineering: Prompt Observability - Traces, Metrics, and Incident Response

Agentic Workflows in 2025: From Single Prompts to Reliable Systems

LLMs: GSCP-12 (Gödel’s Scaffolded Cognitive Prompting) for Rigorous Deductive and Inductive Reasoning in LLMs

Why Context Engineering Needs Prompt Engineers to Survive

Operational Prompt Engineering: Turning Prompts into Products

AI Agents in Practice: Experimentation & A/B Rollout Orchestrator (Prompts + Code)

AI Agents in Practice: Data Privacy & DSAR Fulfillment Agent (Prompts + Code)

AI Agents in Practice: Master Data & Entity Resolution Agent (Prompts + Code)

AI Agents in Practice: Warehouse Cost & Performance Optimization Agent (Prompts + Code)

AI Agents in Practice: Data Quality & Lineage Incident Response Agent (Prompts + Code)

AI Agents in Practice: Treasury Cash Forecasting & Liquidity Rebalancing Agent (Prompts + Code)

AI Agents in Practice: IT Access Review & Deprovisioning Agent (Prompts + Code)

AI Agents in Practice: Expense Report Auditing & Reimbursement Agent (Prompts + Code)

AI Agents in Practice: Sales Lead Qualification & Routing Agent (Prompts + Code)

AI Agents in Practice: Automated Document Filing and Classification Agent (Prompts + Code)

AI Agents in Practice: Automatic Invoice Dispute Resolution Agent (Prompts + Code)

AI Agents in Practice: Fraud Detection & Prevention Agent (Prompts + Code)

AI Agents in Practice: Automated Customer Onboarding & Verification Agent (Prompts + Code)

AI Agents in Practice: Inventory Management & Restocking Agent (Prompts + Code)

AI Agents in Practice: Expense Report Auditor & Reimbursement Agent (Prompts + Code)

AI Agents in Practice: A Hands-On Use Case with Prompts and Code

Evidence-First Context Engineering with GSCP-12

Prompt Engineering with GSCP-12: A Classic, Use-Case Playbook

The Artificial Intelligence Firm — How Companies Will Be Built and Run in the 2030s

LLM Poisoning: Detection, Defense, and Prevention Strategies

Prompt Engineering, 2031–2035 — Interfaces that Outlast Models

Prompt Engineering - in 2030 — Operating With Receipts (Series: The Next Five Years of Prompt Engineering, Part 5)

Prompt Engineering - in 2029 — Tool Mediation and Plan Verification (Series: The Next Five Years of Prompt Engineering, Part 4)

Prompt Engineering - in 2028 — Context Engineering from Passages to Claims (Series: The Next Five Years of Prompt Engineering, Part 3)

Prompt Engineering - in 2027 — Decoding Discipline at Scale (Series: The Next Five Years of Prompt Engineering, Part 2)

Prompt Engineering - in 2026 — Contracts Become the Interface (Series: The Next Five Years of Prompt Engineering, Part 1)

Securing your AI Task Agent with Azure AI Content Safety

Prompt Engineering: Cost & Speed: Engineering for $/Accepted Output and Predictable Latency — Part 8

Prompt Engineering: Evaluation & Operations: Goldens, Canaries, and Rollback — Part 7

Prompt Engineering: Validators and Safety - Fail Closed, Repair Small — Part 6

Prompt Engineering: Tool Mediation - Propose → Validate → Execute — Part 5

Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims

Prompt Engineering: Context Engineering for Prompt Engineers: From Eligibility Filters to Atomic Claims — Part 4

Prompt Engineering: Style, Persona, and Lexicon Control Without Fine-Tuning — Part 3

Prompt Engineering: Decoding Discipline - Sampling Policies and Sectioned Generation — Part 2

Prompt Engineering Contracts: Turning Language into Reliable Systems - Part 1

Full-Stack Prompt Engineering with GSCP-12 — A Technical Blueprint

Prompt Engineering: The Full-Stack Prompt Engineer - Unifying Prompt & Context Engineering

The Full-Stack Prompt Engineer: Unifying Prompt & Context Engineering

Generative AI, Part 3 — Programmatic Creativity: Templates, Prompts, and Pluggable Generators for Content at Scale

Generative AI, Part 2 — Style, Persona & Brand: Controllable Generation Without Fine-Tuning

Generative AI, Part 1 — Decoding & Control: How to Make Models Write What You Want

Context Engineering: Managing Prompt Costs at Enterprise Scale — Practical Approaches

n8n AI Workflow Builder Beta – From Prompts to Automated Workflows

Is Context Engineering the Future of AI Development

“Context Engineering” Is Just Rebranding: Prompt Engineering Already Owns the Context

Prompt Engineering vs. Context Engineering: A Technical Reality Check

Context Engineering vs. Prompt Engineering: A Technical Reality Check

Prompt Engineering: Why Prompt Engineering Is a Prerequisite for Context Engineering

Why Prompt Engineering Is a Prerequisite for Context Engineering

Prompt Engineering: Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset

Why Context Engineering Is a Subset of Prompt Engineering—Not a Superset

Context Engineering: Why Prompt Engineering Is Engineering—but Context Engineering Is Not Really

Context Engineering Is an Urban Legend — Prompt Engineering Is the Operating System

Context Engineering: No AI Future Without Prompt Engineering - Why Text, Voice, and Every Form of Prompting Is Non-Negotiable

Using Prompt Engineers to Help CROs Fix Hidden Revenue Leaks, Keep Customers, and Drive Expansion

Prompt Engineering Is the Must-Have; Context Engineering Is Its Power Assist

What Are the Main Components of Context Engineering?

LLMs: Build an AI Healthcare App with Streamlit and GPT-5 (In-Depth)

LLMs: From Tokens to Dollars: Cost Engineering for LLM Apps

Can You Do Context Engineering Without Prompt Engineering?

Difference Between Prompt Engineering and Context Engineering

Context Engineering with Gödel’s AgentOS and Prompt Engineering

Context Engineering Is Not a Replacement for Prompt Engineering—It’s a Complement

Context Engineering, Right Now: Turning Raw Data into Reliable AI

Without Prompt Engineering, There Is No Context Engineering

Context Engineering vs Prompt Engineering — The Next Evolution in AI Design

Context Engineering - The Future of Intelligent AI Systems