AI: Prompt engineering

Showing 35 articles for AI: Prompt engineering.

Digests

Prompt engineering

YouTube

Prompt engineering best practices are becoming obsolete

Dylan Davis March 20, 2025


Prompt engineering 10
AI tools & automation 7
  • Reasoning models make chain-of-thought prompting redundant by default.
  • Agentic tools generate their own steps, making explicit step prompts useless.
  • Describe what you want — AI knows how to get there better than you do.

AI tools & automation

YouTube

How to prompt reasoning models for better outputs

Dylan Davis January 28, 2025


AI tools & automation 10
Prompt engineering 9
  • Your ChatGPT habits actively hurt performance in reasoning models.
  • A six-section prompt structure unlocks far higher output quality.
  • Embed a writing diff in the system prompt to clone your style.

AI strategy & adoption

YouTube

Practical principles for using AI at work, with Ethan Mollick

Coaching for Leaders July 22, 2024


AI strategy & adoption 9
Prompt engineering 7
  • AI's jagged frontier: great at sonnets, bad at exact word counts.
  • Best prompters are managers, not coders — converse, don't code.
  • Assume today's AI is the worst you'll ever use; urgency is real.

AI tools & automation

Podcast

What's True and False About ChatGPT: A Practical Guide

Beyond the To-Do List - Productivity for Work and Life March 27, 2023


AI tools & automation 9
Prompt engineering 8
Automation & tools 6
  • ChatGPT is probability-based software, not sentient AI—it excels when given detailed prompts but halluccinates beyond its knowledge.
  • Prompt engineering (specifying role, task, and requirements) transforms mediocre outputs into enterprise-quality content.
  • AI replaces tasks not jobs; entry-level roles face elimination unless companies redeploy freed time toward human-centered work.

AI strategy & adoption

YouTube

Seven AI SaaS business ideas using the GPT-3 API

TK Kader January 22, 2023


AI strategy & adoption 9
Business models 7
Prompt engineering 6
  • The moat is your prompts and training data, not the model itself.
  • Fine-tuning GPT-3 on proprietary data compounds your competitive advantage over time.
  • Seven concrete SaaS categories — from email automation to content personalisation — are buildable today.

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