Taeho Kim
HomeWritingNotesReadingAbout
KOEN
Menu
HomeWritingNotesReadingAbout
KOEN

AI

State-of-the-Art Prompt Engineering for AI Agents

Harvest·May 31, 2025·15 min·gpt-4.1-2025-04-14Original source
State-of-the-Art Prompt Engineering for AI Agents preview image
State-of-the-Art Prompt Engineering for AI Agents preview image

A comprehensive guide to modern prompt engineering for AI agents -- covering system prompts, tool use patterns, chain-of-thought reasoning, evaluation strategies, real-world deployment patterns, and the emerging power of meta-prompts that generate optimized prompts automatically.

Related writing

Harvest•AI•English

Greg Brockman on Attention Bottlenecks

A summary of Greg Brockman's comments on compute, scaling, AGI access, organizational use of AI, responsible deployment, and science.

May 2, 2026Read more
Harvest•Startup · AI•English

YC Summer 2026 RFS — A Quick Read

Y Combinator's Summer 2026 Requests for Startups frames AI as infrastructure, not a feature. The big bets: chemistry-free agriculture, AI doing services rather than selling tools, n=1 medicine, company brains, counter-swarm defense, agent-first software, and rebuilt hardware/semiconductor stacks.

Apr 29, 2026Read more
Harvest•AI•English

AI Agents Need More Than Chat

Jacob Lauritzen of Legora argues that complex AI agents need high-bandwidth interfaces, not only chat, so humans can build trust, keep control, and review work effectively.

Apr 23, 2026Read more

Taeho Kim · 2026

LinkedInSubstackGitHub